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Stanford CoreNLP

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Unlock the power of NLP with Stanford CoreNLP - extract info, analyze sentiment, tag parts-of-speech, and more. User-friendly, scalable, and open-source.

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What is Stanford CoreNLP?

Stanford CoreNLP is an advanced natural language processing (NLP) toolkit created by the Stanford Natural Language Processing Group. It offers a variety of capabilities for extracting valuable information from text, such as sentiment analysis, entity recognition, part-of-speech tagging, and more. CoreNLP is designed to be user-friendly and accessible, even for individuals without prior experience in NLP. This means that anyone can quickly develop powerful applications using CoreNLP. By utilizing CoreNLP, users can efficiently identify significant topics, entities, and sentiments within their text data. Moreover, CoreNLP is highly scalable and can handle large datasets with ease. Furthermore, CoreNLP is an open-source tool, allowing users to access the code for free and customize it to suit their specific requirements. With its extensive range of features, CoreNLP is the perfect solution for those seeking to harness the potential of natural language processing.

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Stanford CoreNLP FQA

  • What can CoreNLP do?icon plus
  • Which languages does CoreNLP support?icon plus
  • How can I run a CoreNLP pipeline?icon plus
  • What are some of the linguistic annotations generated by CoreNLP?icon plus
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Stanford CoreNLP Use Cases

Use Stanford CoreNLP to derive linguistic annotations for text

Tokenize text and identify sentence boundaries

Extract parts of speech from text

Recognize named entities in text

Perform dependency parsing on text

Resolve coreferences in text

Extract quotes and their attributions from text

Analyze sentiment of text

Clean XML data

Perform multi-word token expansion

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