Social media intention mining for sustainable information systems: categories, taxonomy, datasets and challenges

Abstract Intention mining is a promising research area of data that aims to determine end-users’ intentions from their past activities stored in the logs, which note users’ interaction with system. Search engines are major source infer searching predict intention, facilitating vendors and manufacturers present products user manner. This has been consistently getting pertinence an increasing trend for online purchasing. Noticeable work accomplished this last two decades. There no such systematic literature review available provides comprehensive intension domain best our knowledge. article presents based on 109 high-quality papers selected after rigorous screening. The analysis reveals there exist eight prominent categories intention. Furthermore, taxonomy approaches techniques used intention have discussed article. Similarly, six important types sets purpose also work. Lastly, future challenges gaps presented researchers working domain.