text-classification

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

all kinds of text classification models and more with deep learning

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

Natural Language Processing Best Practices & Examples

CNN-RNN中文文本分类，基于TensorFlow

Snips Python library to extract meaning from text

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

Accelerated deep learning R&D

State of the Art Natural Language Processing

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

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.

搜索所有中文NLP数据集，附常用英文NLP数据集

DELTA is a deep learning based natural language and speech processing platform.

Text Classification Algorithms: A Survey

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

A list of NLP(Natural Language Processing) tutorials

自然语言处理（nlp），小姜机器人（闲聊检索式chatbot），BERT句向量-相似度（Sentence Similarity），XLNET句向量-相似度（text xlnet embedding），文本分类（Text classification）， 实体提取（ner，bert+bilstm+crf），数据增强（text augment, data enhance），同义句同义词生成，句子主干提取（mainpart），中文汉语短文本相似度，文本特征工程，keras-http-service调用

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, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

Data augmentation for NLP, presented at EMNLP 2019

Graph Convolutional Networks for Text Classification. AAAI 2019

Text classifier for Hierarchical Attention Networks for Document Classification

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

The Python Code Tutorials

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

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。

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

基于Pytorch和torchtext的自然语言处理深度学习框架。