Construction of Domain-Specific Lexicons Based on Term Statistics

Lexicons are a fundamental resource for sentiment analysis, offensive language identification, trend detection, and document classification. Lexicons have the advantage of being easy to use, but most of the existing lexicons have been created manually. Recently, researchers have been interested in extending the use of lexicons to different fields. In this paper, an easy-to-compute statistics-based method for extracting lexicons in specific domains or ad-hoc lexicons is shown. The proposed method was evaluated on two datasets and achieved 80% accuracy in document classification. This novel approach is expected to be a valuable tool for researchers and practitioners who need to quickly and efficiently create domain-specific and ad-hoc lexicons.