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Mining the Web to Monitor the Political Consensus

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Counterterrorism and Open Source Intelligence

Part of the book series: Lecture Notes in Social Networks ((LNSN))

Abstract

Communication is becoming more and more crucial in the competitive political arena: politicians can monitor electors’ suggestions or claims, or the perception they might have about leaders’ statements, by analyzing blogs, newsgroups and newspapers. They try to take account of the complexity of public views in order to design populist measures and increase dramatically their consensus. The Web sources are more accessible, ubiquitous, and valuable than ever before. But the most valuable information is often hidden and encoded in blog posts or pages, which are often neither structured, nor classified, being free textual. The process of accessing all these raw data, heterogeneous in terms of source and lexicon, and transforming them into information is therefore strongly linked to automatic textual analysis and conceptual synthesis. This paper describes a Sentiment Mining study performed on over 1,000 news articles or forum/blog posts, concerning the Italian Prime Minister Silvio Berlusconi, involved in the escorts’ scandal.

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Correspondence to Federico Neri .

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Neri, F., Aliprandi, C., Camillo, F. (2011). Mining the Web to Monitor the Political Consensus. In: Wiil, U.K. (eds) Counterterrorism and Open Source Intelligence. Lecture Notes in Social Networks. Springer, Vienna. https://doi.org/10.1007/978-3-7091-0388-3_19

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  • DOI: https://doi.org/10.1007/978-3-7091-0388-3_19

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