ContextGem: Effortless LLM extraction from documents
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 .
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
Jekyll-based static site for The Programming Historian
PHP Text Analysis is a library for performing Information Retrieval (IR) and Natural Language Processing (NLP) tasks using the PHP language
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
cntext 是一个专为社会科学实证研究设计的中文文本分析 Python 库。它不仅提供传统的词频统计和情感分析，还支持词嵌入训练、语义投影计算等高级功能，帮助研究者从大规模非结构化文本中测量抽象构念——如态度、认知、文化观念与心理状态。
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