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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References
Grishman, R., Sundheim, B.: Message Understanding Conference – 6: A Brief History. In: Proceedings of the 16th International Conference on Computational Linguistics (COLING), I, Kopenhagen, 1996, pp. 466–471 (1996)
Hearst, M.: Untangling text data mining. In: ACL’99, pp. 20–26. University of Maryland, June 1999
Miller, H.J., Han, J.: Geographic Data Mining and Knowledge Discovery, CRC Press (2001)
Wei, L., Keogh, E.: Semi-Supervised Time Series Classification. SIGKDD 2006 (2006)
Carreras, X., Marquez, L.: Introduction to the CoNLL-2005 Shared Task: Semantic Role Labeling. In: CoNLL-2005. Ann Arbor, MI USA (2005)
Vossen, P., Agirre, E., Bond, F., Bosma, W., Fellbaum, C., Hicks, A., Hsieh, S., Isahara, H., Huang, Ch., Kanzaki, K., Marchetti, A., Rigau, G., Ronzano, F., Segers, R., Tesconi, M. (fc.): KYOTO: a Wiki for establishing semantic interoperability for knowledge sharing across languages and cultures. In: Handbook of Research on Culturally-Aware Information Technology: Perspectives and Models. Ed. Dr. E. Blanchard (Mc Gill University (Canada) and Dr. D. Allard (Dalhousie University), IGI Global USA
Dorr, B.J., Jordan, P.W., Benoit, J.W.: Surveys of current Paradigms in Machine Translation. Technical Report: LAMP-TR-027, UMIACS-TR-98-72, CS-TR-3961, University of Maryland, College Park (1998)
Bruderer, H.E.: The Present State of Machine and Machine-Assisted Translation. Commission of the European Communities, Third European Congress on Information Systems and Networks: Overcoming the Language Barrier. vol. 1. Verlag Dokumentation, Munich: 529–556 (1977)
Hutchins, W.J.: Progress in Documentation: Machine Translation and Machine-Aided Translation. J. Chem. Doc., 34(2), 119–159 (1978)
Hutchins, W.J.: The Evolution of Machine Translation Systems. In Lawson 1982, pp. 21–37 (1982)
King, M.: EUROTRA: An Attempt to Achieve Multilingual MT. In Lawson 1982: 139–147 (1982)
Johnson, R.L.: Parsing – an MT Perspective. In: Jones, K.S., Wilks, Y. (eds.) Automatic Natural Language Parsing. Ellis Horwood, Ltd., Chichester, Great Britain (1983)
King, M.: Design Characteristics of a Machine Translation System. In: Proceedings of the Seventh IJCAL Vol. 1, Vancouver, B.C., Canada: 43–46 (1981)
Loh, S.-C.: Machine Translation: Past, Present, and Future. ALLC Bulletin. 4(2), 105–114 (1976)
Mori, R.: Advances in Machine Translation Research in IBM. In: MT Summit III, Washington, D.C., 1–4 July (1991)
Baldini, N., Bini, M.: Focuseek searchbox for digital content gathering. In: AXMEDIS 2005 – 1st International Conference on Automated Production of Cross Media Content for Multi-channel Distribution. Proceedings Workshop and Industrial, pp. 24–28. (2005)
Diligenti, M., Coetzee, F. M., Lawrence, S., Giles, C. L., Gori, M.: Focused Crawling Using Context Graphs, In: Proceedings of 26th International Conference on Very Large Databases, VLDB, pp. 527–534, 10/9 – 12/9 (2000)
Neri, F., Raffaelli, R.: Text Mining applied to Multilingual Corpora, Knowledge Mining: In: Proceedings of the NEMIS 2004 Final Conference, Springer Verlag Pub., Spiros Sirmakessis Ed., ISBN-13: 978-3540250708 (2004)
McCord, M.C.: Slot Grammar: A System for Simpler Construction of Practical Natural Language Grammars. Natural Language and Logic 1989: 118–145 (1989)
McCord, M.C.: Slot grammars. Am. J. Comput. Linguist. 6(1), 31–43 (1980)
Cascini, G., Neri, F.: Natural language processing for patents analysis and classification. In: ETRIA World Conference, TRIZ Future 2004, Florence, Italy, Proceedings, Cascini Ed., pp. 199–212, Firenze (IT), 03-05/11/2004
Baldini, N., Neri, F., Pettoni, M.: A multilanguage platform for open source intelligence, data mining and information engineering 2007. In: 8th International Conference on Data, Text and Web Mining and their Business Applications, The New Forest (UK), Proceedings, ISBN: 978-184564-081-1, WIT Transactions on Information and Communication Technologies, vol. 38, 18–20 June 2007
Neri, F., Pettoni, M.: Stalker, a multilanguage platform for open source intelligence, open source intelligence and web mining symposium. In: 12th International Conference on Information Visualization, Proceedings, ISBN:978-0-7695-3268-4, pp. 314–320, IEEE Computer Society, LSBU, London (UK), 8–11 July 2008
Neri, F., Geraci, P.: Mining Textual Data to boost Information Access in OSINT, Open Source Intelligence and Web Mining Symposium, 13th International Conference on Information Visualization, IV09, Proceedings, ISBN: 978-0-7695-3733-7, pp. 427–432, IEEE Computer Society, Barcelona (ES), 16-17/07/2009
Neri, F., Geraci, P.: Overcoming Linguistic Barriers in Open Source Intelligence, Governmental Sidebar, Semantic Conference, San Jose (CA), USA, 17/06/2009
Camillo, F., Neri, F.: Sentiment Mining: Automatic linguistic analysis and natural language understanding in an e-CRM systems. In: Mola, F., et al. (eds.) EURISBIS 2009, Proceedings, TILAPIA, p. 136, Cagliari (IT), 01/06/2009
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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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