The number of online documents has rapidly grown, and with the expansion of the Web,
document analysis, or text analysis, has become an essential task for preparing, storing …

Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

In recent years, studies related to topic derivation in Twitter have gained a lot of interest from
businesses and academics. The interconnection between users and information has made …

We designed and implemented TAGME, a system that is able to efficiently and judiciously
augment a plain-text with pertinent hyperlinks to Wikipedia pages. The specialty of TAGME …

In microblogging services such as Twitter, the users may become overwhelmed by the raw
data. One solution to this problem is the classification of short text messages. As short texts …

The explosion of social media services presents a great opportunity to understand the
sentiment of the public via analyzing its large-scale and opinion-rich data. In social media, it …

Microblogging, like Twitter and Sina Weibo, has become a popular platform of human
expressions, through which users can easily produce content on breaking news, public …

Several recent software systems have been designed to obtain novel annotation of cross-
referencing text fragments and Wikipedia pages. Tagme is state of the art in this setting and …

Understanding the rapidly growing short text is very important. Short text is different from
traditional documents in its shortness and sparsity, which hinders the application of …

The rapid growth of online social media in the form of collaborativelycreated content
presents new opportunities and challenges to both producers and consumers of information …