Eni Mustafaraj

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Using social media for political discourse is becoming common practice, especially around election time. One interesting aspect of this trend is the possibility of pulsing the public’s opinion about the elections, and that has attracted the interest of many researchers and the press. Allegedly, predicting electoral outcomes from social media data can be(More)
Using social media for political discourse is increasingly becoming common practice, especially around election time. Arguably, one of the most interesting aspects of this trend is the possibility of ''pulsing'' the public's opinion in near real-time and, thus, it has attracted the interest of many researchers as well as news organizations. Recently, it has(More)
In recent years several researchers have reported that the volume of Google Trends and Twitter chat over time can be used to predict several kinds of social and consumer metrics. From the success of new movies before their release to the marketability of consumer goods to the prediction of voting results in the recent 2009 German elections, Google Trends(More)
Social media today provide an impressive amount of data about users and their societal interactions, thereby offering computer and social scientists, economists, and statisticians – among others– many new opportunities for research exploration. Arguably, one of the most interesting lines of work is that of predicting future events and developments based on(More)
Research examining the predictive power of social media (especially Twitter) displays conflicting results, particularly in the domain of political elections. This paper applies methods used in studies that have shown a direct correlation between volume/sentiment of Twitter chatter and future electoral results in a new dataset about political elections. We(More)
Social networks such as Facebook and Twitter have become the favorite places on the Web where people discuss real-time events. In fact, search engines such as Google and Bing have special agreements, which allow them to include into their search results public conversations happening in real-time in these social networks. However, for anyone who only reads(More)
Social networks such as Face book and Twitter have become the favorite places on the Web where people discuss real-time events. In fact, search engines such as Google and Bing have special agreements, which allow them to include into their search results public conversations happening in real-time in these social networks. However, for anyone who only reads(More)
Recently, all major search engines introduced a new feature: real-time search results, embedded in the first page of organic search results. The content appearing in these results is pulled within minutes of its generation from the so-called “real-time Web” such as Twitter, blogs, and news websites. In this paper, we argue that in the context of political(More)
Several tasks approached by using text mining techniques, like text categoriza-tion, document clustering, or information retrieval, operate on the document level, making use of the so called bag-of-words model. Other tasks, like document summarization, information extraction, or question answering, have to operate on the sentence level, in order to fulfill(More)