Description

Stanford CoreNLP is a natural language processing (NLP) toolkit with an extensible pipeline designed for application developers in research, commercial, and government organizations. It enables users to apply linguistic analysis tools to a piece of text to identify the base form of words and parts of speech to determine if the text represents the name of a company or person. Features include part-of-speech taggers, named entity recognizers, parsers, a coreference resolution system, sentiment analysis, bootstrapped pattern learning, and open information extraction tools.