awesome-sentiment-analysis

Why we included this project

Sentiment analysis pulls together a lot of moving parts: libraries in different languages, lexicons, datasets that run from classic benchmarks to recent releases, word embeddings, and pretrained models. This list gathers those pieces in one place and sorts them by language and tool type, so you can find what fits your stack without digging through scattered GitHub repos. The maintainer refreshes it regularly, and the latest updates cover reasoning models, aspect-based sentiment analysis, and low-resource and cross-lingual methods, which makes it a handy way to track where the field is heading. Whether you are building a classifier or writing a paper, having the established libraries and the newest academic work side by side saves real time.