What is Stanford CoreNLP?
Stanford CoreNLP is a comprehensive suite of natural language processing (NLP) tools that enable extensive analysis and understanding of text. It offers a wide range of capabilities, from basic linguistic tasks to more advanced semantic and relational extraction. The toolkit can identify the fundamental elements of language, such as parts of speech, named entities, and basic sentence structures. It also handles more complex language phenomena, including coreference resolution, sentiment analysis, and relation extraction. This enables users to gain deeper insights and extract valuable information from unstructured text data across a variety of domains and applications
Highlights
- Part-of-speech tagging and lemmatization
- Named entity recognition (identifying people, organizations, locations, etc.)
- Normalization of dates, times, and numeric quantities
- Syntactic parsing and dependency analysis
- Coreference resolution (determining which noun phrases refer to the same entities)
- Sentiment analysis
- Open-class relation extraction between mentioned entities