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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)
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 pub-lic'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)
Electoral prediction from Twitter data is an appealing research topic. It seems relatively straightforward and the prevailing view is overly optimistic. This is problematic because while simple approaches are assumed to be good enough, core problems are not addressed. Thus, this paper aims to (1) provide a balanced and critical review of the state of the(More)
Predicting X from Twitter is a popular fad within the Twitter research subculture. It seems both appealing and relatively easy. Among such kind of studies, electoral prediction is maybe the most attractive, and at this moment there is a growing body of literature on such a topic. This is not only an interesting research problem but, above all, it is(More)
A fter losing the presidential elections in Iran in 2009, candidate Mir-Hossein Mousavi and his supporters claimed electoral fraud and confronted the regime forces in bloody clashes. In January 2011, president Zine El Abidine Ben Ali (in office since 1987) fled Tunisia after massive demonstrations spread through the country. After that, a number of Arab(More)
Twitter is among the commonest sources of data employed in social media research mainly because of its convenient APIs to collect tweets. However , most researchers do not have access to the expensive Firehose and Twitter Historical Archive, and they must rely on data collected with free APIs whose representativeness has been questioned. In 2010 the Library(More)
Search engine logs store detailed information on Web users interactions. Thus, as more and more people use search engines on a daily basis, important trails of users common knowledge are being recorded in those files. Previous research has shown that it is possible to extract concept taxonomies from full text documents, while other scholars have proposed(More)
The Query Intent classification using semi-supervised learning about ti find a better away to search the web precision that result surfer want to search is 99. 8% matched, but due to search engine know what type of query user want to search and logs that are residing in the server of search engine. Which are put in data warehouse of vendor search engine for(More)
Usually time series are controlled by generative processes which display changes over time. On many occasions, two or more generative processes may switch forcing the abrupt replacement of a fitted time series model by another one. We claim that the incorporation of past data can be useful in the presence of concept shift. We believe that history tends to(More)