xiamx/awesome-sentiment-analysis
😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤
Organizes implementations across multiple programming languages (Python, Java, Node.js, R, Go, Ruby, C#) and approaches—from lexical methods using sentiment lexicons like AFINN and SentiWordNet to supervised techniques (Naive Bayes, SVM) and deep learning architectures (CNN, LSTM, attention mechanisms). Covers sentiment analysis at document, sentence, and aspect levels, with particular emphasis on aspect-based approaches for fine-grained opinion extraction. Includes links to foundational survey papers, annotated corpora (Stanford Sentiment Treebank, SemEval14), and SaaS APIs for practical integration.
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Oct 10, 2018
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