Mallet. MA chine L earning for L anguag E T oolkit. Outline. About MALLET Representing Data Command Line Processing Simple Evaluation Conclusion. Outline. About MALLET Representing Data Command Line Processing Simple Evaluation Conclusion. About MALLET.
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MAchineLearning for LanguagEToolkit
bin/mallet import-dir --input sample-data/web/* --output web.mallet
[URL] [language] [text of the page...]
bin/mallet import-file --input /data/web/data.txt --output web.mallet
bin/mallet train-classifier --input training.mallet --output-classifier my.classifier
bin/mallet train-classifier --input training.mallet --output-classifier my.classifier--trainer MaxEnt
bin/mallet train-classifier --input labeled.mallet --training-portion 0.9
Bill CAPITALIZED noun
here LOWERCASE STOPWORD non-noun
java -cp“~/mallet/class:~/mallet/lib/mallet-deps.jar" cc.mallet.fst.SimpleTagger --train true --model-file nouncrf sample
java -cp“~/mallet/class:~/mallet/lib/mallet-deps.jar" cc.mallet.fst.SimpleTagger --model-file nouncrfstest
Number of predicates: 5
noun CAPITAL Al
bin/mallet train-topics --input topic-input.mallet--num-topics 100 --output-state topic-state.gz
--num-topics [NUMBER] The number of topics to use. The best number depends on what you are looking for in the model.
--num-iterations [NUMBER] The number of sampling iterations should be a trade off between the time taken to complete sampling and the quality of the topic model.
--output-state [FILENAME] This option outputs a compressed text file containing the words in the corpus with their topic assignments.