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Báo cáo khoa học: "Why Are They Excited? Identifying and Explaining Spikes in Blog Mood Levels"

We describe a method for discovering irregularities in temporal mood patterns appearing in a large corpus of blog posts, and labeling them with a natural language explanation. Simple techniques based on comparing corpus frequencies, coupled with large quantities of data, are shown to be effective for identifying the events underlying changes in global moods. | Why Are They Excited Identifying and Explaining Spikes in Blog Mood Levels Krisztian Balog Gilad Mishne Maarten de Rijke ISLA University of Amsterdam Kruislaan 403 1098 SJ Amsterdam kbalog gilad mdr@science.uva.nl Abstract We describe a method for discovering irregularities in temporal mood patterns appearing in a large corpus of blog posts and labeling them with a natural language explanation. Simple techniques based on comparing corpus frequencies coupled with large quantities of data are shown to be effective for identifying the events underlying changes in global moods. 1 Introduction Blogs diary-like web pages containing highly opinionated personal commentary are becoming increasingly popular. This new type of media offers a unique look into people s reactions and feelings towards current events for a number of reasons. First blogs are frequently updated and like other forms of diaries are typically closely linked to ongoing events in the blogger s life. Second the blog contents tend to be unmoderated and subjective more so than mainstream media expressing opinions thoughts and feeling. Finally the large amount of blogs enables aggregation of thousands of opinions expressed every minute this aggregation allows abstractions of the data cleaning out noise and focusing on the main issues. Many blog authoring environments allow bloggers to tag their entries with highly individual and personal features. Users of LiveJournal one of the largest weblog communities have the option of reporting their mood at the time of the post users can either select a mood from a predefined list of common moods such as amused or angry or enter free-text. A large percentage of LiveJournal users tag their postings with a mood. This results in a stream of hundreds of weblog posts tagged with mood information per minute from hundreds of thousands of users across the globe. The collection of such mood reports from many bloggers gives an aggregate mood of the blogosphere for each point in