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MALLET

MALLET is 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

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Platform

   

Social

 

System Requirements

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Ratings

Aggregate
3.63 
 5

G2CROWD3 
 5
based on 1 reviews
PAT RESEARCH7.6 
 10
based on professional's opinion
PAT RESEARCH8.2 
 10
based on 1 reviews

Developer

Andrew McCallum with contributions from several graduate students and staff

Written in

Java

Initial Release

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License

Apache v2+


Notes


This page was last updated with commit: Fixed syntax in software source files (1e763e9)