Trending repositories for topic text-classification

💫 Industrial-strength Natural Language Processing (NLP) in Python

The Python Code Tutorials

Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

MTEB: Massive Text Embedding Benchmark

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

对豆瓣影评进行文本分类情感分析，利用爬虫豆瓣爬取评论，进行数据清洗，分词，采用BERT、CNN、LSTM等模型进行训练，采用tensorboardX可视化训练过程，自然语言处理项目\A project for text classification, based on torch 1.7.1

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financia...

🦙 Integrating LLMs into structured NLP pipelines

自然语言处理（NLP）教程，包括：词向量，词法分析，预训练语言模型，文本分类，文本语义匹配，信息抽取，翻译，对话。

情感分析、文本分类、词典、bayes、sentiment analysis、TextCNN、classification、tensorflow、BERT、CNN、text classification

⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.

CNN-RNN中文文本分类，基于TensorFlow

对豆瓣影评进行文本分类情感分析，利用爬虫豆瓣爬取评论，进行数据清洗，分词，采用BERT、CNN、LSTM等模型进行训练，采用tensorboardX可视化训练过程，自然语言处理项目\A project for text classification, based on torch 1.7.1

The Python Code Tutorials

自然语言处理（NLP）教程，包括：词向量，词法分析，预训练语言模型，文本分类，文本语义匹配，信息抽取，翻译，对话。

情感分析、文本分类、词典、bayes、sentiment analysis、TextCNN、classification、tensorflow、BERT、CNN、text classification

MTEB: Massive Text Embedding Benchmark

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financia...

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

🦙 Integrating LLMs into structured NLP pipelines

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

💫 Industrial-strength Natural Language Processing (NLP) in Python

Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

CNN-RNN中文文本分类，基于TensorFlow

The Python Code Tutorials

💫 Industrial-strength Natural Language Processing (NLP) in Python

Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

MTEB: Massive Text Embedding Benchmark

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.

🤗 ParsBERT: Transformer-based Model for Persian Language Understanding

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, R...

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financia...

🦙 Integrating LLMs into structured NLP pipelines

Fake News Detection in Python

多标签文本分类，多标签分类，文本分类, multi-label, classifier, text classification, BERT, seq2seq，attention, multi-label-classification

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

自然语言处理（NLP）教程，包括：词向量，词法分析，预训练语言模型，文本分类，文本语义匹配，信息抽取，翻译，对话。

情感分析、文本分类、词典、bayes、sentiment analysis、TextCNN、classification、tensorflow、BERT、CNN、text classification

对豆瓣影评进行文本分类情感分析，利用爬虫豆瓣爬取评论，进行数据清洗，分词，采用BERT、CNN、LSTM等模型进行训练，采用tensorboardX可视化训练过程，自然语言处理项目\A project for text classification, based on torch 1.7.1

Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥

An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

Welcome to the "Top 100 Computer Vision Projects Idea for 2024" repository! This repository contains a curated list of computer vision project ideas that you can explore, implement, and experiment wit...

📚 Text Classification with LoRA (Low-Rank Adaptation) of Language Models - Efficiently fine-tune large language models for text classification tasks using the Stanford Sentiment Treebank (SST-2) data...

The Python Code Tutorials

基于pytorch框架，针对文本分类的机器学习项目，集成多种算法(xgboost, lstm, bert, mezha等等)，提供基础数据集，开箱即用，方便自己二次拓展，持续更新

Emotions recognition from audio and text files (only russian language)

🤗 ParsBERT: Transformer-based Model for Persian Language Understanding

对豆瓣影评进行文本分类情感分析，利用爬虫豆瓣爬取评论，进行数据清洗，分词，采用BERT、CNN、LSTM等模型进行训练，采用tensorboardX可视化训练过程，自然语言处理项目\A project for text classification, based on torch 1.7.1

针对微博平台的微博文本数据进行舆情分析项目，内容有微博爬虫、LDA主题分析和情感分析

This is the corresponding code for the book Transformers in Action

MTEB: Massive Text Embedding Benchmark

BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation all...

自然语言处理（NLP）教程，包括：词向量，词法分析，预训练语言模型，文本分类，文本语义匹配，信息抽取，翻译，对话。

Fake News Detection in Python

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financia...

情感分析、文本分类、词典、bayes、sentiment analysis、TextCNN、classification、tensorflow、BERT、CNN、text classification

This repo is a collection of AWESOME things about fake news detection, including papers, code, etc.

多标签文本分类，多标签分类，文本分类, multi-label, classifier, text classification, BERT, seq2seq，attention, multi-label-classification

🦙 Integrating LLMs into structured NLP pipelines

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词、抽取式文本摘要等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label c...

中文文本分类任务，基于PyTorch实现（TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention, DPCNN, Transformer，Bert，ERNIE），开箱即用！

The Python Code Tutorials

💫 Industrial-strength Natural Language Processing (NLP) in Python

Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

MTEB: Massive Text Embedding Benchmark

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

Active Learning for Text Classification in Python

⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

搜索所有中文NLP数据集，附常用英文NLP数据集

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

all kinds of text classification models and more with deep learning

State of the Art Natural Language Processing

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financia...

🦙 Integrating LLMs into structured NLP pipelines

多标签文本分类，多标签分类，文本分类, multi-label, classifier, text classification, BERT, seq2seq，attention, multi-label-classification

CNN-RNN中文文本分类，基于TensorFlow

情感分析、文本分类、词典、bayes、sentiment analysis、TextCNN、classification、tensorflow、BERT、CNN、text classification

Data augmentation for NLP, presented at EMNLP 2019

Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .

The Python Code Tutorials

Welcome to the "Top 100 Computer Vision Projects Idea for 2024" repository! This repository contains a curated list of computer vision project ideas that you can explore, implement, and experiment wit...

Fine-tuning of Flan-5T LLM for text classification

📚 Text Classification with LoRA (Low-Rank Adaptation) of Language Models - Efficiently fine-tune large language models for text classification tasks using the Stanford Sentiment Treebank (SST-2) data...

No description

Active Learning for Text Classification in Python

This is the corresponding code for the book Transformers in Action

对豆瓣影评进行文本分类情感分析，利用爬虫豆瓣爬取评论，进行数据清洗，分词，采用BERT、CNN、LSTM等模型进行训练，采用tensorboardX可视化训练过程，自然语言处理项目\A project for text classification, based on torch 1.7.1

针对微博平台的微博文本数据进行舆情分析项目，内容有微博爬虫、LDA主题分析和情感分析

LJP (Legal Judgment Prediction)经典模型实现方案整理

BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation all...

Fine-tuning Large Language Models (LLMs) for Text Classification Task

NLP model and tech for cyber security tasks

基于pytorch框架，针对文本分类的机器学习项目，集成多种算法(xgboost, lstm, bert, mezha等等)，提供基础数据集，开箱即用，方便自己二次拓展，持续更新

Using Bert/Roberta + LSTM/GRU/BiLSTM/TextCNN to do the sentiment analysis on the imdb datasets.

Emotions recognition from audio and text files (only russian language)

PyTorch implementation for the FinerFact model in the AAAI 2022 paper Towards Fine-Grained Reasoning for Fake News Detection

MTEB: Massive Text Embedding Benchmark

Gotcha GPT ensures the integrity of academic writing in universities and publishing houses due to advances in Artificial Intelligence (AI). It discriminates AI- and human-generated manuscripts (Englis...

Knowledge Graph for Legal Documents using Litigation Releases from the SEC website. Classifies into different crimes, extracts relevant information (violator, violation, action taken by authorities an...

Unattended Lightweight Text Classifiers with LLM Embeddings

Course materials for our "Getting Started with NLP and spaCy" course at Talk Python

Gotcha GPT ensures the integrity of academic writing in universities and publishing houses due to advances in Artificial Intelligence (AI). It discriminates AI- and human-generated manuscripts (Englis...

Code for the paper "Modeling Text-Label Alignment for Hierarchical Text Classification" acepted in ECML PKDD 2024

Fine-tuning Large Language Models (LLMs) for Text Classification Task

Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

💫 Industrial-strength Natural Language Processing (NLP) in Python

MTEB: Massive Text Embedding Benchmark

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

The Python Code Tutorials

搜索所有中文NLP数据集，附常用英文NLP数据集

⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

🦙 Integrating LLMs into structured NLP pipelines

State of the Art Natural Language Processing

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financia...

An elegent pytorch implement of transformers

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

all kinds of text classification models and more with deep learning

多标签文本分类，多标签分类，文本分类, multi-label, classifier, text classification, BERT, seq2seq，attention, multi-label-classification

CNN-RNN中文文本分类，基于TensorFlow

NucliaDB, The AI Search database for RAG

Unattended Lightweight Text Classifiers with LLM Embeddings

Unattended Lightweight Text Classifiers with LLM Embeddings

📚 Text Classification with LoRA (Low-Rank Adaptation) of Language Models - Efficiently fine-tune large language models for text classification tasks using the Stanford Sentiment Treebank (SST-2) data...

Course materials for our "Getting Started with NLP and spaCy" course at Talk Python

A simple RoadMap to Natural Language Processing(NLP)

Getting started with Hugging Face

LJP (Legal Judgment Prediction)经典模型实现方案整理

Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

The repository provides links to collections of influential and interesting research papers from top AI conferences, with open-source code to promote reproducibility and provide detailed implementatio...

MTEB: Massive Text Embedding Benchmark

针对微博平台的微博文本数据进行舆情分析项目，内容有微博爬虫、LDA主题分析和情感分析

BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation all...

Using Bert/Roberta + LSTM/GRU/BiLSTM/TextCNN to do the sentiment analysis on the imdb datasets.

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financia...

基于pytorch框架，针对文本分类的机器学习项目，集成多种算法(xgboost, lstm, bert, mezha等等)，提供基础数据集，开箱即用，方便自己二次拓展，持续更新

对豆瓣影评进行文本分类情感分析，利用爬虫豆瓣爬取评论，进行数据清洗，分词，采用BERT、CNN、LSTM等模型进行训练，采用tensorboardX可视化训练过程，自然语言处理项目\A project for text classification, based on torch 1.7.1

Code and Data for Text Classification of AI Related Patents Research Paper

🎈 2020年中国高校计算机大赛(C4)－网络技术挑战赛EP2决赛赛项：基于CNN+LSTM时空神经网络的在线流量分类模型。

pytorch分布式训练

Knowledge Graph for Legal Documents using Litigation Releases from the SEC website. Classifies into different crimes, extracts relevant information (violator, violation, action taken by authorities an...

a collection of NLP projects&tools. 自然语言处理方向项目和工具集合。