We have more and more projects that require unstructured data processing. To extract meaningful business information from text data is a key technique. Stanford CoreNLP is a Java-based set of natural language processing tools. It supports named-entity recognition, relationship extraction, sentiment analysis and text classification as well as multiple languages, including English, Chinese and Arabic. We also find tools usable to label corpus and training models for our scenario. With Stanford CoreNLP, we were able to use the latest research in the field of NLP to solve various business problems.
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