Woolly
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Open Semantic Search | 741 | a year ago | 187 | gpl-3.0 | Shell | |||||
| 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) | ||||||||||
| Graphbrain | 551 | 3 months ago | 21 | July 28, 2021 | 7 | mit | Python | |||
| Language, Knowledge, Cognition | ||||||||||
| Awesome Sentiment Analysis | 513 | a year ago | 1 | |||||||
| Repository with all what is necessary for sentiment analysis and related areas | ||||||||||
| Text_mining_resources | 511 | a year ago | ||||||||
| Resources for learning about Text Mining and Natural Language Processing | ||||||||||
| Artificial Adversary | 317 |  | 1 | 6 years ago | 3 | August 29, 2018 | 7 | mit | Python | |
| 🗣️ Tool to generate adversarial text examples and test machine learning models against them | ||||||||||
| Fake_news_detection | 251 | 2 years ago | 10 | mit | Jupyter Notebook | |||||
| Fake News Detection in Python | ||||||||||
| Blueprints Text | 198 | a year ago | 2 | apache-2.0 | Jupyter Notebook | |||||
| Jupyter notebooks for our O'Reilly book "Blueprints for Text Analysis Using Python" | ||||||||||
| Awesome Text Classification | 144 | 6 years ago | apache-2.0 | |||||||
| Awesome-Text-Classification Projects,Papers,Tutorial . | ||||||||||
| Qdap | 140 | 20 | 11 | 4 years ago | 29 | May 11, 2023 | 36 | R | ||
| Quantitative Discourse Analysis Package: Bridging the gap between qualitative data and quantitative analysis | ||||||||||
| Support Tickets Classification | 128 | 3 years ago | 4 | mit | Python | |||||
| 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 | ||||||||||
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