plandes/clj-nlp-parse
Natural Language Parsing and Feature Generation
This project helps data scientists and machine learning engineers transform raw natural language text into structured features for training machine learning models. It takes unstructured text, like sentences or paragraphs, and processes it into a rich set of linguistic features such as tokens, lemmas, part-of-speech tags, named entities, parse trees, and sentiment scores. This is useful for anyone building AI applications that need to understand human language, like chatbots, sentiment analyzers, or topic extractors.
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Use this if you are a data scientist or machine learning engineer working with natural language data and need to extract detailed linguistic features to improve your model's performance.
Not ideal if you are a business user looking for a pre-built, off-the-shelf application to perform NLP tasks without any coding or model building.
Stars
39
Forks
2
Language
Clojure
License
MIT
Category
Last pushed
Dec 01, 2024
Commits (30d)
0
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