Hot Topics Detection by Using 2-Layers Keywords Extraction
I‐Hsien Ting, Su-Chen Yang, Chia-Sung Yen, Tsung-Hsing Tsai · 2020
Hot topics analysis is one of the important task for users to organize information from WWW and especially for social networking websites. Therefore, how to design an efficient approach for users to extract those hot topics is very essential. Thus, we proposed a so-called 2-layers keywords extraction approach and three empirical analyses are then be applied to validate the usability and performance of the proposed approach.