mallet ☆
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Description:
MAchine Learning for LanguagE Toolkit
Type: Formula  |  Latest Version: 202108@0  |  Tracked Since: Dec 24, 2025
Links: Homepage  |  formulae.brew.sh
Category: Ai ml
Tags: nlp machine-learning topic-modeling text-analysis java
Install: brew install mallet
About:
MALLET is a Java-based package for statistical natural language processing, document classification, and topic modeling. It provides a toolbox for text classification, sequence tagging, and topic modeling with its efficient implementation of Latent Dirichlet Allocation (LDA). The toolkit is widely used by researchers for analyzing large text corpora and extracting thematic structures.
Key Features:
  • Latent Dirichlet Allocation (LDA) topic modeling
  • Text classification and document clustering
  • Conditional Random Fields (CRF) for sequence tagging
  • Java-based command-line interface and API
Use Cases:
  • Topic modeling large text corpora for research
  • Building text classifiers for document categorization
  • Named entity recognition and sequence labeling
Alternatives:
  • Gensim – Python-based alternative; easier integration with modern ML libraries but MALLET is often faster for large-scale LDA.
  • Stanford CoreNLP – Focuses more on linguistic analysis and NLP pipelines rather than statistical learning tools.
Version History
Detected Version Rev Change Commit
Dec 24, 2025 9:55pm 202108 0 VERSION_BUMP 26ad1eb0
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