Python-Text-Analysis-Fundamentals

NLTK Source

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

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.

NLTK Data

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.

The Classical Language Toolkit

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

Compute Sentence Embeddings Fast!