Dontopedia

OpenNLP

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-19.)

OpenNLP has 17 facts recorded in Dontopedia across 2 references, with 4 live disagreements.

17 facts·7 predicates·2 sources·4 in dispute

Mostly:provides feature(4), rdf:type(3), supports task(3)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (2)

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includesIncludes(1)

recommendedRecommended(1)

Other facts (15)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

typelme/2a578673-5ce7-4f89-8d29-0595b9609db0
ex:NlpLibrary
labellme/2a578673-5ce7-4f89-8d29-0595b9609db0
OpenNLP
providesFeaturelme/2a578673-5ce7-4f89-8d29-0595b9609db0
ex:named-entity-recognition
providesFeaturelme/2a578673-5ce7-4f89-8d29-0595b9609db0
ex:part-of-speech-tagging
providesFeaturelme/2a578673-5ce7-4f89-8d29-0595b9609db0
ex:sentence-parsing
complexitylme/2a578673-5ce7-4f89-8d29-0595b9609db0
ex:more-complex-to-use
typelme/3af9fcfa-5a53-43df-8c88-4a4a281949f2
ex:software-library
labellme/3af9fcfa-5a53-43df-8c88-4a4a281949f2
OpenNLP
provideslme/3af9fcfa-5a53-43df-8c88-4a4a281949f2
ex:maximum-entropy-tagging
provideslme/3af9fcfa-5a53-43df-8c88-4a4a281949f2
ex:named-entity-recognition
canBeUsedForlme/3af9fcfa-5a53-43df-8c88-4a4a281949f2
ex:sentiment-analysis
2023-05-21
typelme/2a578673-5ce7-4f89-8d29-0595b9609db0
ex:NLP-library
2023-05-21
supportsTasklme/2a578673-5ce7-4f89-8d29-0595b9609db0
ex:named-entity-recognition
2023-05-21
supportsTasklme/2a578673-5ce7-4f89-8d29-0595b9609db0
ex:part-of-speech-tagging
2023-05-21
supportsTasklme/2a578673-5ce7-4f89-8d29-0595b9609db0
ex:sentence-parsing
2023-05-21
hasCharacteristiclme/2a578673-5ce7-4f89-8d29-0595b9609db0
ex:complexity
2023-05-21
providesFeaturelme/2a578673-5ce7-4f89-8d29-0595b9609db0
ex:advanced-features

References (2)

2 references
  1. ctx:claims/lme/2a578673-5ce7-4f89-8d29-0595b9609db0
    • full textbeam-chunk
      text/plain22 KBdoc:beam/2a578673-5ce7-4f89-8d29-0595b9609db0
      Show excerpt
      [Session date: 2023/05/21 (Sun) 15:59] User: I'm trying to work on a project that involves text analysis and sentiment analysis. Can you recommend some popular NLP libraries in Python that I can use for this project? By the way, I've been b
  2. ctx:claims/lme/3af9fcfa-5a53-43df-8c88-4a4a281949f2
    • full textbeam-chunk
      text/plain15 KBdoc:beam/3af9fcfa-5a53-43df-8c88-4a4a281949f2
      Show excerpt
      [Session date: 2023/05/25 (Thu) 02:42] User: I'm looking for some guidance on natural language processing techniques for sentiment analysis. I've been interested in this area since my thesis, and I've been exploring different approaches. Ca

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