A New Approach to Blog Post Summarization Using Fast Features
Shuang Sun, Liang He, Zhao Lv, Junzhong Gu · 2008
Blog post summarization using fast features facilitates users' quick browsing through blog search results. Much existing research on blogs ignores blog tags and text structure. In this paper, we re-formalize the blog post summarization problem as a sentence extraction and sentence ranking problem. Three fast features, important sentences, blog tags and blog comments, are proposed to calculate salience scores of representative words. Then we propose an average-summation-based sentence selection method called ASS to select sentences based on the salience scores of content words in sentences. As been used to evaluate on human-labeled sentences, ASS showed anticipated results.