Hot Topic Detection Based on Opinion Analysis for Web Forums in Distributed Environment

Abstract

For improving the cooperative detection ability of hot topics, this paper analyzes web topic spreading features and proposes a hot topic detection model based on opinion analysis for web forums in distributed environment (named TOAM). The model not only evaluates the topic opinion impacts of the single web forum, but also cooperatively schedules the opinion information of hot topics among different network domains. TOAM monitors the topics opinion of each web forum and generates the hot topics of local network domain periodically. Through scheduling the local hot topics between different network domains, the model effectively improves the ability of topic spreading analysis and optimizes the local topics information database. To validate the performance, the experiments on the data corpus about “Campus Alert Network Culture” demonstrate that TOAM has higher application validity and practicality of hot topic detection for web forums in distributed environment.