MALLET

A Java-based toolkit for machine learning applications on text

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Overview

MALLET is MAchine Learning for LanguagE Toolkit.

MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text. - Official website

MALLET includes tools for document classification, sequence tagging, topic modeling.

Many of the algorithms in MALLET depend on numerical optimization. MALLET includes an efficient implementation of Limited Memory BFGS, among many other optimization methods. In addition to sophisticated Machine Learning applications, MALLET includes routines for transforming text documents into numerical representations that can then be processed efficiently. This process is implemented through a flexible system of “pipes”, which handle distinct tasks such as tokenizing strings, removing stopwords, and converting sequences into count vectors. - Official website

Stack Overflow Q&A I API Reference

Platform

  

Social

 

System Requirements

Not available, but hey, you could help!

Ratings

3.63
5
PAT RESEARCH: 7.6
10  based on professional's opinion

PAT RESEARCH: 8.2
10  based on 1 reviews

G2CROWD: 3
5  based on 1 reviews

Developer

Andrew McCallum with contributions from several graduate students and staff

Written in

Java

Initial Release

Not available, but hey, you could help!

License

Apache v2+


Notes