sentiment

Why we included this project

Sentiment scores the emotional tone of a block of text by matching tokens against the AFINN-165 wordlist, with an emoji sentiment ranking layered on top. It returns both an absolute score and a comparative figure normalized by sentence length, so you get a quick, deterministic read on product reviews, support tickets, or social mentions without standing up a trained model. You can also extend it: register a new language with its own label set, or override the scoring strategy per language to handle negation and emphasis the way that language actually works. For lightweight analysis pipelines where a rough positive/negative signal is all you need, that keeps the whole thing a few lines of code instead of a project.