Text Classification Powered by Apache Mahout and Lucene
by lucenerevolution on Dec 05, 2013
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Presented by Isabel Drost-Fromm, Software Developer, Apache Software Foundation/Nokia Gate 5 GmbH at Lucene/Solr Revolution 2013 Dublin ...
Presented by Isabel Drost-Fromm, Software Developer, Apache Software Foundation/Nokia Gate 5 GmbH at Lucene/Solr Revolution 2013 Dublin
Text classification automates the task of filing documents into pre-defined categories based on a set of example documents. The first step in automating classification is to transform the documents to feature vectors. Though this step is highly domain specific Apache Mahout provides you with a lot of easy to use tooling to help you get started, most of which relies heavily on Apache Lucene for analysis, tokenisation and filtering. This session shows how to use facetting to quickly get an understanding of the fields in your document. It will walk you through the steps necessary to convert your text documents into feature vectors that Mahout classifiers can use including a few anecdotes on drafting domain specific features.
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