A survey on online forum hotspot detection

Social network, online forums, blogs and various sites where people can hold conversation in the form of messages, is recently become a more valuable resource for mining in various fields like customer relationship management, public opinion tracking and other text mining entities. The knowledge obtained from these public forums is extremely valuable for marketing research companies. This paper shows various tools available for crawling data from online forums. In first part emotional polarity for extracted text is obtained. In second part combined approach using K-means clustering and various classification algorithm like SVM, J48 (Decision Tree), Naïve Bayes and PSO(Particle Swarm Optimization)-SVM is applied to detect weather given forum is hotspot or non-hotspot for given time window. Among them PSO-SVM gives better result with K-means compare to other classifiers.