clustering-based topic detection and lexicon-based sentiment analysis is followed by a regression analysis, to identify factors …

through a stream of posts, the Topic Detection method classifies them and removes any that have nothing to do with the subject … Topic Detection, and the possibility to be used in other contexts. We describe the general architecture of XAF and show the … tools are not available. In this sense, we propose a framework to analyze social network content by integrating Topic …

Purpose The aim of this research is to develop an eigenspace-based fuzzy c-means method for scalable topic detection … scalability by using the two approaches, i.e. single-pass and online. We call the developed topic detection methods as oEFCM and … spEFCM. Originality/value This research produces a scalable topic detection method. Besides this scalability capability, the …

and analyze meeting contents automatically by voice recognition, topic detection, and extractive summarization. …