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CoreNLP

9,997
2,719
Java

Project Description

CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

CoreNLP: CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coref

CoreNLP

CoreNLP — A comprehensive Java-based suite for core NLP tasks including tokenization, sentence segmentation, NER, parsing, and more.

Overview

Stanford CoreNLP is a robust Java library that offers a suite of natural language processing tools. It is designed to perform a variety of language analysis tasks on raw text input, such as identifying base forms of words, parts of speech, named entities, and syntactic structures. Originally developed for English, it now supports several other languages, making it a versatile tool for both academic and industrial applications.

Key Features

  • Tokenization and Sentence Segmentation
  • Named Entity Recognition (NER)
  • Parsing and Dependency Analysis
  • Coreference Resolution
  • Sentiment Analysis
  • Support for Multiple Languages

Use Cases

  • Academic Researchers: Utilizing CoreNLP for linguistic analysis and research in various languages.
  • Data Scientists: Extracting structured information from unstructured text for machine learning models.
  • Enterprise Applications: Integrating CoreNLP for automated text analysis in business intelligence tools.

Advantages

  • Comprehensive suite of NLP tools in a single framework.
  • Easy to apply multiple language analysis tools with minimal code.
  • Supports a range of languages, expanding its utility beyond English.
  • Well-tested and widely used, ensuring stability and reliability.

Limitations / Considerations

  • The full GPL license may restrict its use in proprietary software distribution.
  • Performance may vary depending on the complexity of the text and the language being processed.

Similar / Related Projects

  • Apache OpenNLP: A machine learning-based toolkit for NLP tasks, offering a different set of tools and a more flexible licensing model.
  • NLTK: A leading platform for building Python programs to work with human language data, providing a different programming language option.
  • spaCy: An industrial-strength NLP library written in Python, known for its speed and ease of use.

Basic Information


📊 Project Information

  • Project Name: CoreNLP
  • GitHub URL: https://github.com/stanfordnlp/CoreNLP
  • Programming Language: Java
  • ⭐ Stars: 9,970
  • 🍴 Forks: 2,713
  • 📅 Created: 2013-06-27
  • 🔄 Last Updated: 2025-09-23

🏷️ Project Topics

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Project Information

Created on 6/27/2013
Updated on 11/12/2025