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Counterterrorism and Open Source Intelligence: Models, Tools, Techniques, and Case Studies Read chapter Read first chapter

2011 | OriginalPaper | Chapter

Mining the Web to Monitor the Political Consensus

Authors : Federico Neri, Carlo Aliprandi, Furio Camillo

Published in: Counterterrorism and Open Source Intelligence

Publisher: Springer Vienna

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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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Metadata
Title
Mining the Web to Monitor the Political Consensus
Authors
Federico Neri
Carlo Aliprandi
Furio Camillo
Copyright Year
2011
Publisher
Springer Vienna
Book
Counterterrorism and Open Source Intelligence

Print ISBN: 978-3-7091-0387-6

Electronic ISBN: 978-3-7091-0388-3

Copyright Year: 2011

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

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