Top 287 text-classification open source projects

all kinds of baseline models for long text classificaiton( text categorization)

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

Hierarchical Attention Networks for document classification

CNN for Chinese Text Classification in Tensorflow

TextCNN Pytorch实现 中文文本分类 情感分析

NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your imagination about NLP.

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

Accelerated deep learning R&D

NLP Core Library and Model Zoo based on PaddlePaddle 2.0

Code and source for paper ``How to Fine-Tune BERT for Text Classification?``

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

Text Classification through CNN, RNN & HAN using Keras

BAND：BERT Application aNd Deployment，Simple and efficient BERT model training and deployment, 简单高效的 BERT 模型训练和部署

Text Classification by Convolutional Neural Network in Keras

中文ULMFiT 情感分析 文本分类

ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

Fake News Detection in Python

Java interface for fastText

这是一款基于web的通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持文本的迭代标注和实体的嵌套标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提升了用户体验和标注效率。此外，本工具增加了审核环节，可对多人的标注结果进行一致性检验和调整，提高了标注语料的准确率和可靠性。

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

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

HDLTex: Hierarchical Deep Learning for Text Classification

Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification

About Text Pairs (Sentence Level) Classification (Similarity Modeling) Based on Neural Network.

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

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

Text vectorization tool to outperform TFIDF for classification tasks

A text analyzer which is based on machine learning,statistics and dictionaries that can analyze text. So far, it supports hot word extracting, text classification, part of speech tagging, named entity recognition, chinese word segment, extracting address, synonym, text clustering, word2vec model, edit distance, chinese word segment, sentence similarity,word sentiment tendency, name recognition, idiom recognition, placename recognition, organization recognition, traditional chinese recognition, pinyin transform.

[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach

Awesome-Text-Classification Projects,Papers,Tutorial .

基于Transformers的文本分类

Implementation of Very Deep Convolutional Neural Network for Text Classification

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

transform multi-label classification as sentence pair task, with more training data and information

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

"20 Newsgroups" text classification with python

Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...

A web app to create and browse text visualizations for automated customer listening.

UDA(Unsupervised Data Augmentation) implemented by pytorch

Official Python client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Python apps.

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

对收集的法律文档进行一系列分析，包括根据规范自动切分、案件相似度计算、案件聚类、法律条文推荐等（试验目前基于婚姻类案件，可扩展至其它领域）。

A bidirectional LSTM with attention for multiclass/multilabel text classification.

export bert model for serving

The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》

Educational material on using the TensorFlow Estimator framework for text classification

使用BERT模型做文本分类；面向工业用途

FastText for Node.js

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

搜索所有中文NLP数据集，附常用英文NLP数据集

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

Get list of common stop words in various languages in Python

A collection of Natural language processing pre-trained models.

ConText v4: Neural networks for text categorization

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

BDCI2017-让AI当法官，决赛第四（4/415）https://www.datafountain.cn/competitions/277/details

嵌入Word2vec词向量的RNN+ATTENTION中文文本分类