Apache OpenNLP is a library for natural language processing using machine learning. In this article, we will explore document/text classification by training with sample data and then execute to get its results. We will use plain training model as one example and then training using Navie Bayes Algorithm.

Apache OpenNLP - Document Classification

The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. OpenNLP also includes entropy and perceptron based machine learning. . It contains several components for natural language processing pipeline like sentence detector, tokenizer, name finder, document categorizer, part-of-speech tagger, chunker, parser, co-reference resolution.

Getting started with Apache OpenNLP

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Crowdfunding for Open Source Projects

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Apache OpenNLP - Document Classification

Getting started with Apache OpenNLP

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Apache OpenNLP - Document Classification

Getting started with Apache OpenNLP

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