CoreNLP is a robust Natural Language Processing (NLP) library developed by Stanford University, designed to help organizations analyze and understand large amounts of text data. CoreNLP provides a wide range of NLP tools, including part-of-speech tagging, named entity recognition (NER), sentiment analysis, dependency parsing, and coreference resolution. By processing raw text, CoreNLP enables businesses to extract meaningful information, identify relationships between entities, and classify text for further analysis. The software is highly customizable, supporting multiple languages and integration with other data processing platforms, making it ideal for enterprises that require sophisticated text analysis. CoreNLP is widely used in industries such as marketing, customer support, and legal services to automate tasks like text classification, sentiment analysis, and content extraction. With its powerful features, CoreNLP transforms complex textual data into structured information that businesses can use for better decision-making.
Stanford NLP Group
United States
Email
Data Extraction
