Tag: openNLP

In the earlier two articles, we looked at Sentence Parsing and Chunking as supported in OpenNLP. In today’s article, let us explore Named Entity Recognition, also known as NER. NER is a technique to identify special categories of noun phrases such as people, places, companies, money, etc., present in the given text. This is widely used as […]

In my previous post, I showed how to parse sentences using OpenNLP. Another useful feature supported by OpenNLP is “chunking”. That is the subject of today’s article. Chunking stands between part-of-speech tagging and full parse in terms of the information it captures. POS tagging assigns part of speech to individual tokens in a sentence. So, […]

In my earlier posts I have written about parsing text using spaCy and MeaningCloud’s parsing API. For today’s article, I decided to take a look at OpenNLP, an open-source ML-based Java toolkit for parsing natural language text. OpenNLP is a fairly mature library and has been around since 2004 (source: Wikipedia). It is actively maintained and […]
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