CORENLP
- Countries: International
- Year: 2023
Links
https://corenlp.run/Environment tackled
Online, generalDescription
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/