Top 287 text-classification open source projects

基于Pytorch和torchtext的自然语言处理深度学习框架。

Tensorflow implementation of attention mechanism for text classification tasks.

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

Text classification using deep learning models in Pytorch

Implementation of papers for text classification task on DBpedia

🎯🗯 Generate datasets for AI chatbots, NLP tasks, named entity recognition or text classification models using a simple DSL!

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。

A tool for learning vector representations of words and entities from Wikipedia

Natural Language Processing Best Practices & Examples

Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

A Modern C++ Data Sciences Toolkit

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

The Python Code Tutorials

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger

A Benchmark of Text Classification in PyTorch

高质量中文预训练模型集合：最先进大模型、最快小模型、相似度专门模型

Tensorflow implementations of Text Classification Models.

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

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

Tensorflow based training and classification scripts for text, images, etc

Tools and recipes to train deep learning models and build services for NLP tasks such as text classification, semantic search ranking and recall fetching, cross-lingual information retrieval, and question answering etc.

Text Classification Library in Keras

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

Natural language detection library for Rust. Try demo online: https://www.greyblake.com/whatlang/

About Muti-Label Text Classification Based on Neural Network.

[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案

BERT for Multitask Learning

RMDL: Random Multimodel Deep Learning for Classification

👑 spaCy building blocks and visualizers for Streamlit apps

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

Resources for learning about Text Mining and Natural Language Processing

🗣️ Tool to generate adversarial text examples and test machine learning models against them

Snips Python library to extract meaning from text

CNN-RNN中文文本分类，基于TensorFlow

Gathers scalable tensorflow and infrastructure deployment

pytorch实现bert做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持GPT2进行文章续写。

嵌入Word2vec词向量的CNN中文文本分类

A Model for Natural Language Attack on Text Classification and Inference

This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.

a Deep Learning Framework for Text

Chinese-Text-Classification，Tensorflow CNN（卷积神经网络）实现的中文文本分类。QQ群：522785813，微信群二维码：http://www.tensorflownews.com/

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

2018-DC-“达观杯”文本智能处理挑战赛：冠军 (1st/3131)

State of the Art Natural Language Processing

Detecting cyberbullying in tweets using Machine Learning

Convolutional Neural Network for Text Classification in Keras

Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

Using the Tsetlin Machine to learn human-interpretable rules for high-accuracy text categorization with medical applications

[CIKM 2018] Weakly-Supervised Neural Text Classification

Code for paper "Hierarchical Text Classification with Reinforced Label Assignment" EMNLP 2019

Nodejs binding for fasttext representation and classification.

Kaggle Twitter Sentiment Analysis Competition

Machine Learning (EE 5184) in NTU

OpenTC is a text classification engine using several algorithms in machine learning

BERT, LDA, and TFIDF based keyword extraction in Python

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

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