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2022-04-14

10 Best Python Libraries for Natural Language Processing

10 Best Python Libraries for Natural Language Processing
  1. NLTK (Natural Language Toolkit): A powerful library for natural language processing in Python, providing a wide range of tools for text processing and computational linguistics.
  2. spaCy: An open-source library for advanced natural language processing in Python, providing fast and accurate syntactic and semantic analysis.
  3. gensim: A library for topic modeling and document similarity analysis in Python, built on top of NumPy and SciPy.
  4. TextBlob: A library for common text-processing tasks in Python, including part-of-speech tagging, noun phrase extraction, sentiment analysis, and more.
  5. Pattern: A web mining module for the Python programming language, that provides web services for several natural language processing tasks.
  6. CoreNLP: A library for natural language processing tasks such as part-of-speech tagging, named entity recognition, and sentiment analysis.
  7. StanfordNLP: A python wrapper for Stanford CoreNLP (Java Library) which provides several natural language processing tools such as part-of-speech tagging, named entity recognition, and sentiment analysis.
  8. PyNLPI: A library for natural language processing in Python, providing a wide range of tools for text processing, including part-of-speech tagging, named entity recognition, and sentiment analysis.
  9. Flair: A library for state-of-the-art natural language processing in Python, providing simple and efficient tools for text classification, named entity recognition, and more.
  10. Pattern3: A library for natural language processing in Python, providing tools for web mining, natural language understanding, and computational linguistics.