laugustyniak/awesome-sentiment-analysis

Curated collection spanning implementation frameworks across multiple languages (Python, Java, R, C++, C#, Node.js), aspect-based sentiment analysis approaches, and supplementary NLP resources including domain-specific lexicons, benchmark datasets, and word embeddings. Covers both classical lexicon-based and neural network methods, from shallow SVM/Naive Bayes classifiers to deep learning architectures like memory networks and language models. Aggregates academic papers, tutorials, and API references to support the full sentiment analysis pipeline from data preparation through model deployment.

546 stars.