Homer, a text analyser in Python, can help make your text more clear, simple and useful for your readers.

A Modern C++ Data Sciences Toolkit

Repository with all what is necessary for sentiment analysis and related areas

PHP Text Analysis is a library for performing Information Retrieval (IR) and Natural Language Processing (NLP) tasks using the PHP language

Natural language detection library for Rust. Try demo online: https://www.greyblake.com/whatlang/

Jekyll-based static site for The Programming Historian

Open Source research tool to search, browse, analyze and explore large document collections by Semantic Search Engine and Open Source Text Mining & Text Analytics platform (Integrates ETL for document processing, OCR for images & PDF, named entity recognition for persons, organizations & locations, metadata management by thesaurus & ontologies, search user interface & search apps for fulltext search, faceted search & knowledge graph)

Tutorial and introduction into programming with Python for the humanities and social sciences

Resources for learning about Text Mining and Natural Language Processing

🗣️ Tool to generate adversarial text examples and test machine learning models against them

Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?

Language, Knowledge, Cognition

Interpretable data visualizations for understanding how texts differ at the word level

Fake News Detection in Python

✊ Detect non-inclusive language in your source code.

Text vectorization tool to outperform TFIDF for classification tasks

Awesome-Text-Classification Projects,Papers,Tutorial .

Tools for cleaning and normalizing text data

Code and Resources for "Applied Machine Learning"

A simple WikiText parsing library for MediaWiki

Quantitative Discourse Analysis Package: Bridging the gap between qualitative data and quantitative analysis

Stanford NLP group's shared Python tools.

Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

A neural network intent parser

The repository provides usefull python scripts for ML and data analysis

A text analysis application for performing common NLP tasks through a web dashboard interface and an API

Multilingual Stopword Lists in R