One of the important types of information on the Web is the opinions expressed in the user generated content, e.g., customer reviews of products, forum posts, and blogs. In this paper, we focus on customer reviews of products. In particular, we study the problem of determining the semantic

Abstract — Many blog posts deal with current issues, so much attention has been paid to identifying topic trends in blogs. This paper suggests a new metric of selecting topic words. We empirically tested the accuracy and the performance of the metric with a massive blog corpus. First, we created

From the point of view of information access, the blogspace offers many natural opportunities beyond traditional search facilities, such as trend detection, topic tracking, link tracking, feed generation, etc. But there is more. Many blog authoring environments allow bloggers to tag their entries

In the last decade, blogs have exploded in number, popularity and scope. However, many commentators and researchers speculate that blogs isolate readers in echo chambers, cutting them off from dissenting opinions. Our empirical paper tests this hypothesis. Using a hand-coded sample of over 1

The rise of blogging as a new grassroots publishing medium and the many interesting peculiarities that characterise blogs compared to other genres of documents opened up several new interesting research areas in the information retrieval field. The Blog track was introduced in 2006 as part

In many real-world probabilistic reasoning problems, one of the questions we want to answer is: how many objects are out there? Examples of such problems range from multitarget tracking to extracting information from text documents. However, most probabilistic modeling formalisms — even firstorder

The increasing availability of digitized text presents enormous opportunities for social scientists. Yet hand coding many blogs, speeches, government records, newspapers, or other sources of unstructured text is infeasible. Although computer scientists have methods for automated content analysis

Evaluative texts on the Web have become a valuable source of opinions on products, services, events, individuals, etc. Recently, many researchers have studied such opinion sources as product reviews, forum posts, and blogs. However, existing research has been focused on classification

We perform a survey into the scope and utility of opinion mining in legal Weblogs (a.k.a. blawgs). The number of ‘blogs ’ in the legal domain is growing at a rapid pace and many potential applications for opinion detection and monitoring are arising as a result. We summarize current approaches

Blogs are becoming an increasingly popular target for spammers. The existence of multiple vectors for spam injection, the potential of reaching many eyeballs with a single spam, and limited deployment of anti-spam technologies has led to a sustained increase in the volume and sophistication