Topic-modeling-on-News-Articles-Unsupervised-Learning

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.

? Contextually-keyed word vectors

A fast, efficient universal vector embedding utility package.

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.

A fast, robust Python library to check for offensive language in strings.

Compute Sentence Embeddings Fast!

FBOW (Fast Bag of Words) is an extremmely optimized version of the DBow2/DBow3 libraries.

Python package of Tomoto, the Topic Modeling Tool

中文詞向量訓練教學

A modern IDE for writing classical Chinese poetry 格律诗编辑程序