- 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, including a module for sentiment analysis.
- TextBlob: A library for common text-processing tasks in Python, including part-of-speech tagging, noun phrase extraction, sentiment analysis, and more.
- spaCy: An open-source library for advanced natural language processing in Python, providing fast and accurate syntactic and semantic analysis, it also includes a sentiment analysis library.
- VADER (Valence Aware Dictionary and sEntiment Reasoner): A lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media.
- Pattern: A web mining module for the Python programming language, that provides web services for several natural language processing tasks, including sentiment analysis.
- gensim: A library for topic modeling and document similarity analysis in Python, built on top of NumPy and SciPy, it also includes a sentiment analysis library.
- 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 sentiment analysis.
- Flair: A library for state-of-the-art natural language processing in Python, providing simple and efficient tools for
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