MALLET
MALLET is a Java-based toolkit for machine learning applications on text
Features
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
System Requirements
Developer
Andrew McCallum, Other contributors
Written in
Java
Initial Release
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Alternatives
Machine Learning
OpenCV
Apache Mahout
Apache MXNet (Incubating)
Apache Spark
Apache SystemML
Eclipse Deeplearning4j
Massive Online Analysis (MOA)
mlpack
Orange
PyTorch
scikit-learn
TensorFlow
The Microsoft Cognitive Toolkit
Torch
Weka
Yooreeka
Notes
- On official website , license for code is stated to be Common Public License v1, while at the repository on GitHub, it is Apache v2. The license is taken as Apache v2 considering this commit on GitHub .
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