A playground of highly experimental prompts, Jinja2 templates & scripts for machine intelligence models from OpenAI, Anthropic, DeepSeek, Meta, Mistral, Google, xAI & others. Alex Bilzerian (2022-2025).

Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .

ContextGem: Effortless LLM extraction from documents

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, …

Natural language detection library for Rust. Try demo online: https://whatlang.org/

A Modern C++ Data Sciences Toolkit

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

Language, Knowledge, Cognition

Fake News Detection in Python

Resources for learning about Text Mining and Natural Language Processing

中文情感分析库(Chinese Sentiment))可对文本进行情绪分析、正负情感分析。Text analysis, supporting multiple methods including word count, readability, document similarity, sentiment analysis, Word2Vec .

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

Jekyll-based static site for The Programming Historian

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

Detect non-inclusive language in your source code.

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

Official PyTorch implementation of the paper "TEMOS: Generating diverse human motions from textual descriptions", ECCV 2022 (Oral)

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

text analysis, supporting multiple methods including word count, readability, document similarity, sentiment analysis, Word2Vec/GloVe, and Large Language Models (LLMs).文本分析包，支持字数统计、可读性、文档相似度、情感分析在内的多种文本分析方法。