- 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.
- spaCy: An open-source library for advanced natural language processing in Python, providing fast and accurate syntactic and semantic analysis.
- gensim: A library for topic modeling and document similarity analysis in Python, built on top of NumPy and SciPy.
- TextBlob: A library for common text-processing tasks in Python, including part-of-speech tagging, noun phrase extraction, sentiment analysis, and more.
- Pattern: A web mining module for the Python programming language, that provides web services for several natural language processing tasks.
- CoreNLP: A library for natural language processing tasks such as part-of-speech tagging, named entity recognition, and sentiment analysis.
- 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.
- 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.
- 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.
- Pattern3: A library for natural language processing in Python, providing tools for web mining, natural language understanding, and computational linguistics.
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