Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Earthquake shakes Twitter users: real-time event detection by social sensors
Proceedings of the 19th international conference on World wide web
Emerging topic detection on Twitter based on temporal and social terms evaluation
Proceedings of the Tenth International Workshop on Multimedia Data Mining
Information credibility on twitter
Proceedings of the 20th international conference on World wide web
Clustering avatars behaviours from virtual worlds interactions
Proceedings of the 4th International Workshop on Web Intelligence & Communities
Sentiment strength detection for the social web
Journal of the American Society for Information Science and Technology
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Social networks have opened to companies and politicians' new ways to understand what the clients and citizens are looking for. That is, companies need to understand what is happening in the market in order to be competitive. And politicians need to better understand what the people are worried about if they want to comply with the wishes of their voters. Until now, a significant amount of resources were dedicated to collect a small set of consumers or citizens opinions to conduct focus groups and surveys in pursuit of consumers or social insights. With the rise of social networks, things have changed. Companies and politicians now have the ability to gather more data than ever before on a large number of users in near real time and at a much lower cost. In this paper we present the architecture we are building on top of Twitter in order to extract and analyze the mood of the users against some events. In particular, we have analyzed the impact that the "Boston Marathon" event produced in the public opinion. During the observed time frame we have observed little social iteration and a high number of retweets in the Spanish-speaker twitter community.