This work investigates summarizing the conversations that occur in the comments section of
the UK newspaper the Guardian. In the comment summarization task comments are …

Readers of a news article often read its comments contributed by other readers. By reading
comments, readers obtain not only complementary information about this news article but …

Automatic summarization of reader comments in on-line news is an extremely challenging
task and a capability for which there is a clear need. Work to date has focussed on …

We present a method for summarizing the collection of tweets related to a business. Our
procedure aggregates tweets into subtopic clusters which are then ranked and summarized …

We present a supervised approach to automat-ically labelling topic clusters of reader com-
ments to online news. We use a feature set that includes both features capturing proper-ties …

Comments left by readers on Web documents contain valuable information that can be
utilized in different information retrieval tasks including document search, visualization, and …

Popular microblogging services, such as Twitter, are engaging millions of users who
constantly post and share information about news and current events each day, resulting in …

Event detection and tracking using social media and user-generated content has received a
lot of attention from the research community in recent years, since such sources can …

Many on-line services allow users to describe their opinions about a product or a service
through a review. In order to help other users to find out the major opinion about a given …

This paper provides a comparative analysis of various graph based extraction methods for
automatic text summarizations using ROUGE on review dataset. We consider five …