Twitter is among the fastest‐growing microblogging and online social networking services.
Messages posted on Twitter (tweets) have been reporting everything from daily life stories to …

Social media platforms, or social networks, have allowed millions of users to post online
content about topics related to our daily lives. Traffic is one of the many topics for which …

Social media is becoming an increasingly important data source for learning about breaking
news and for following the latest developments of ongoing news. This is in part possible …

In this paper, we present a new approach for detecting novel events from social media,
specially Twitter, at real-time. An event is usually defined by who, what, where and when …

The success of public Social Media has led to the emergence of Enterprise Social Software
(ESS), a new type of collaboration software for organizations that incorporates “social …

News articles typically drive a lot of traffic in the form of comments posted by users on a
news site. Such user-generated content tends to carry additional information such as entities …

This article presents the integration of sentiment analysis in ALCIDE, an online platform for
historical content analysis. A prior polarity approach has been applied to a corpus of Italian …

Despite their 40 year history, native executable decompilers have found very limited
practical application in commercial projects. The success of Java decompilers is well known …

With the development and penetration of information technology, the “fourth media”-the
network media is coming, and the “grievance crisis” is increasingly happening. The effective …

Event detection in a multimodal Twitter dataset is considered. We treat the hashtags in the
dataset as instances with two modes: text and geolocation features. The text feature consists …