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openNLP Overview

What is openNLP?

Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text that supports the common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution these tasks are usually required to build more advanced text processing services and includes maximum entropy and perceptron based machine learning.

openNLP Details

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openNLP Community

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Product Description

Seller Details

Seller

The Apache Software Foundation

Year Founded

1999

HQ Location

Wakefield, MA

Twitter

@TheASF
66,224 Twitter followers

LinkedIn® Page

www.linkedin.com
2,291 employees on LinkedIn®

Description

Community-led development since 1999. FoundationProjectsPeopleGet InvolvedDownloadSupport ApacheHome. We consider ourselves not simply a group of projects sharing a server, but rather a community of developers and users.

Recent openNLP Reviews

3/5/2019

Verified UserSmall-Business (50 or fewer emp.)

2.5 out of 5

"Great for start ups"

The new language model, Moses format support and unit tests

3/5/2019

Verified UserSmall-Business (50 or fewer emp.)

4.5 out of 5

"openNLP Review"

out of the box entity recognition, tokenization, etc is great for projects

3/5/2019

Verified UserSmall-Business (50 or fewer emp.)

3.5 out of 5

"Great for NLP"

Supports main NLP tasks such as tokenization and parsing etc. Easy to build something fast and especially easy to install. Documentation is fair.

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openNLP Media

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Small-Business(50 or fewer emp.)

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Review source: G2 invite

Incentivized Review

Dec 27, 2017

"Abandoned before it's prime"

What do you like best about openNLP?

OpenNLP has a nice and easy to understand API. The library is usable as a stand alone command line tool but can also be used within products which makes it easy to test new ideas on the CLI and the transition to productionizing a prototype is quick. Review collected by and hosted on G2.com.

What do you dislike about openNLP?

The project has been abandoned and is no longer up to date. There's also no indication in any parts of the API as to which functions and classes are thread safe versus not. I wish there was more example code in the documentation, and the models that have been trained that are available for download are from very long ago. Review collected by and hosted on G2.com.

Recommendations to others considering openNLP:

The documentation is lack luster. You will be doing a lot of your own digging. Review collected by and hosted on G2.com.

What problems is openNLP solving and how is that benefiting you?

Consistent tokenization and named entity recognition have been useful. Review collected by and hosted on G2.com.

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