Curricula - Knowledge - Navigation

CORENLP

  • Countries: International
  • Year: 2023
Environment tackled
Online, general
Description

Sentiment analysis

Referring PASTEL cluster

Society

Objectives

Sentiment analysis

End Users

Researchers

Key findings

CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sentiment, quote attributions, and relations. CoreNLP currently supports 8 languages: Arabic, Chinese, English, French, German, Hungarian, Italian, and Spanish.

referring project

https://corenlp.run/ https://stanfordnlp.github.io/CoreNLP/