- OpenNLP Tutorial
- OpenNLP - Home
- OpenNLP - Overview
- OpenNLP - Environment
- OpenNLP - Referenced API
- OpenNLP - Sentence Detection
- OpenNLP - Tokenization
- Named Entity Recognition
- OpenNLP - Finding Parts of Speech
- OpenNLP - Parsing the Sentences
- OpenNLP - Chunking Sentences
- OpenNLP - Command Line Interface
- OpenNLP Useful Resources
- OpenNLP - Quick Guide
- OpenNLP - Useful Resources
- OpenNLP - Discussion
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
OpenNLP Tutorial
Apache OpenNLP is an open source Java library which is used process Natural Language text. OpenNLP provides services such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and co-reference resolution, etc. In this tutorial, we will understand how to use the OpenNLP library to build an efficient text processing service.
Audience
This tutorial has been prepared for beginners to make them understand how to use the OpenNLP library, and thus help them in building text processing services using this library.
Prerequisites
For this tutorial, it is assumed that the readers have a prior knowledge of Java programming language.
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