MALLET Text Handling App

MALLET

by University of Massachusetts Amherst

Machine Learning for LanguagE Toolkit
Helps with: Text Handling
Similar to: OpenNLP App TextBlob App Image Annotation and Markup SDK Technology App C Sharp Text Processing Function Library App More...
Source Type: Open
License Types:
Supported OS:
Languages: Java

What is it all about?

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.

Key Features

* MALLET includes sophisticated tools for document classification: efficient routines for converting text to "features", a wide variety of algorithms (including Naïve Bayes, Maximum Entropy, and Decision Trees), and code for evaluating classifier performance using several commonly used metrics. * In addition to classification, MALLET includes tools for sequence tagging for applications such as named-entity extraction from text. Algorithms include Hidden Markov Models, Maximum Entropy Markov Models, and Conditional Random Fields. These methods are implemented in an extensible system for finite state transducers.


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