Endorsements and rebuttals in blog distillation

Berardi G., Esuli A., Sebastiani F., Silvestri F.

Sentiment analysis  Computer Science Applications  Random walks  Artificial Intelligence  Theoretical Computer Science  Software  Blog search  Information Systems and Management  Control and Systems Engineering 

In this paper we test a new approach to blog distillation, defined as the task in which, given a user query, the system ranks the blogs in descending order of relevance to the query topic. Our approach is based on the idea of adding a link analysis phase to the standard retrieval-by-topicality phase. However, differently from other link analysis methods, we check whether a given hyperlink is a citation with a positive or a negative nature, i.e., if it expresses approval or disapproval of the hyperlinked page by the hyperlinking page. This allows us to test the hypothesis that distinguishing approval from disapproval brings about benefits in the blog distillation task. We have tested our method on the Blogs08 collection used in the last two editions (2009 and 2010) of the TREC Blog Track, a collection consisting of more than one million blogs and more than 28 million blog posts. Unfortunately, the experimental results seem to disconfirm the above hypothesis, due to the low level of connectivity of the collection which severely limits the impact of a link analysis phase (and, a fortiori, of the attempt to distinguish endorsements from rebuttals). Application contexts other than the blogosphere (such as, e.g., the domain of eBay transactions) are probably more suited to such an approach.

Source: Information sciences 249 (2013): 47. doi:10.1016/j.ins.2013.05.037

Publisher: Elsevier [etc.], Boston [etc.], Paesi Bassi

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