Stanford Part-Of-Speech Tagger

Part-Of-Speech Tagger (POS Tagger) is a piece of software that reads text in some language and assigns parts of speech to each word (and other token), such as noun, verb, adjective, etc., although generally computational applications use more fine-grained POS tags like 'noun-plural'.

Languages supported:

9.6/10 (Expert Score) ★★★★★
Product is rated as #15 in category Natural Language Understanding (NLU) Software
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Part-Of-Speech Tagger (POS Tagger) is a piece of software that reads text in some language and assigns parts of speech to each word (and other token), such as noun, verb, adjective, etc., although generally computational applications use more fine-grained POS tags like ‘noun-plural’.

Stanford Part-Of-Speech Tagger
Stanford Part-Of-Speech Tagger

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Customer Reviews

Stanford Part-Of-Speech Tagger Reviews

G2 User in Computer Networking

Advanced user of Stanford Part-Of-Speech Tagger
★★★★★
Research project has a wide industry adoption

What do you like best?

Multilingual support

Opensource with GPL license

Extensive tree bank of part-of-speech with abbreviation support

Nice examples for in experienced users

Having academic paper makes it easier to understand under-the-hood of the library

What do you dislike?

Implemented in Java which is not suitable for memory constrained systems

Must use Python binding to have a interactive shell to play with the project

Recommendations to others considering the product:

Use docker image on dockerhub that has all dependencies

What problems are you solving with the product? What benefits have you realized?

Sentiment analysis of news articles

Look for negative mentions of critical products or person

Review source: G2.com

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