Detection of Bloggers' Interests: Using Textual, Temporal, and Interactive Features

Abstract

As the blogs have become pervasive media in these years, the number of bloggers has increased at an exponential rate. Mining the bloggers' characteristics, such as age, gender, emotions, etc., has attracted much attention recently. In this paper, we describe our work on the detection of bloggers' interest from three kinds of important features containing in blogs. Textual features include the interest-related words. Temporal features are used to analyze bloggers' posting frequency in order to model the strength of bloggers' interest. Interactive features are represented by the comments posted by bloggers to identify the bloggers' interactivity in blogsphere. By incorporating textual, temporal, and interactive features, our system can be able to automatically identify the interest of bloggers. Experimental results in several topics show that these features work well in the detection of bloggers' interest