james-bowman/nlp
A Go library providing ML algorithm implementations for natural language processing and semantic analysis of text documents.
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This repository implements selected machine learning algorithms for NLP in Go, focused on statistical semantics of plain-text documents. It provides tools for semantic analysis and retrieval of semantically similar documents. Key implementations include Latent Semantic Analysis (LSA/LSI) using truncated SVD, Latent Dirichlet Allocation (LDA), TF-IDF vectorization, locality-sensitive hashing, and related techniques. The library builds on the Gonum package for linear algebra and draws inspiration from Python’s scikit-learn and Gensim.
Frequently asked
- What is james-bowman/nlp?
- A Go library providing ML algorithm implementations for natural language processing and semantic analysis of text documents.
- Is nlp open source?
- Yes — james-bowman/nlp is open source, released under the MIT license.
- What language is nlp written in?
- james-bowman/nlp is primarily written in Go.
- How popular is nlp?
- james-bowman/nlp has 475 stars on GitHub.
- Where can I find nlp?
- james-bowman/nlp is on GitHub at https://github.com/james-bowman/nlp.