Stanford CoreNLP is a Java-based tool that provides a wide range of natural language processing capabilities, including token and sentence boundaries, parts of speech, named entities, dependency and constituency parses, coreference, sentiment analysis, quote attributions, and relations for 8 different languages.
Features
- Tokenization and sentence boundary detection
- Part-of-speech tagging
- Named entity recognition
- Dependency and constituency parsing
- Coreference resolution
- Sentiment analysis
- Quote attributions
- Relation extraction
Use Cases
- Information extraction
- Text classification
- Sentiment analysis
- Question answering
- Machine translation
- Chatbots
- Language generation
Suited For
- Java developers
- NLP researchers
- Data scientists
- Machine learning engineers