Many sentiment analysis methods rely on sentiment lexicons, containing words and their
associated sentiment, and are tailored to one specific language. Yet, the ever-growing …

Multi-document summarization is used to extract the main ideas of the documents and put
them into a short summary. In multi-document summarization, it is important to reduce …

Geosocial networks like Yelp and Foursquare have been rapidly growing and accumulating
plenty of data such as social links between users, user check-ins to venues, venue …

The essence of social networks is that they can influence people's public opinions and
group behaviors form quickly. Negative group behavior influences societal stability …

The exploitation of structural aspects of content is becoming increasingly popular in rule-
based polarity classification systems. Such systems typically weight the sentiment conveyed …

Sentiment analysis tools often rely on counts of sentiment-carrying words, ignoring structural
aspects of content. Natural Language Processing has been fruitfully exploited in text mining …

Topic modeling has become a widely used tool for document management. However, there
are few topic models distinguishing the importance of documents on different topics. In this …

Online social media have aroused much research interest in recent years. In contrast to
previous work that focused on the detection of emerging topics, this article undertakes the …

In this paper, an approach is proposed to evaluate and rearrange web pages, based on the
query-related web context. The contexts we focus on are the terms co-occurring with queries …

China's public safety and emergency management have received more and more attention
since the outbreak of SARS in 2003. The General Office of the State Council has set up a …