1. Twitter Data set for Arabic Sentiment Analysis: This problem of Sentiment Analysis (SA) has been studied well on the English language but not Arabic one. Two main approaches have been devised: corpus-based and lexicon-based.
2. Nursery: Nursery Database was derived from a hierarchical decision model originally developed to rank applications for nursery schools.
3. Wisesight Sentiment Corpus: Social media messages in Thai language with sentiment label (positive, neutral, negative, question).
4. Gender by Name: This dataset attributes first names to genders, giving counts and probabilities. It combines open-source government data from the US, UK, Canada, and Australia.