Topic Modelling for Humans

A very simple framework for state-of-the-art Natural Language Processing (NLP)

100+ Chinese Word Vectors 上百种预训练中文词向量

Resume Matcher is an open source, free tool to improve your resume. It works by using language models to compare and rank resumes with job descriptions.

Top2Vec learns jointly embedded topic, document and word vectors.

Text preprocessing, representation and visualization from zero to hero.

Beautiful visualizations of how language differs among document types.

A curated list of pretrained sentence and word embedding models

A fast, efficient universal vector embedding utility package.

Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need

🔡 Token level embeddings from BERT model on mxnet and gluonnlp

Distill a Small Static Model from any Sentence Transformer

Keyphrase or Keyword Extraction 基于预训练模型的中文关键词抽取方法（论文SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model 的中文版代码）

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

Simple downloader for pre-trained word vectors

ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

State-of-the-art, lightweight NLP tools for Turkish language. Developed by VNGRS.

Word Embeddings for Information Retrieval

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.