EMPIRICAL ANALYSIS OF SUPERVISED MACHINE LEARNING TECHNIQUES FOR EXPERT MINING IN CQA SYSTEM

Abstract

Today’s era is influenced by the social media indispensably. Apart from sharing, discussing and communicating online, people use Community Question Answering online services for finding answers to their queries and questions. Huge amount of information and contents has been accumulated in Community Question Answering platform, where the vital concern is finding of an expert who could respond to user’s questions efficiently and accurately. In this paper, we attempt to search, study, examine and analyze the previous studies that have been used for finding experts in Community Question Answering portals. We intend to infer the research gaps pertaining to expert mining in Community Question Answering platforms in the past decade. The contribution of this work is significant as it will certainly aid the future researchers and practitioners in understanding the applications of expert mining in Community Question Answering.