DocumentCode :
2967450
Title :
Tweets mining for French Presidential Election
Author :
Wegrzyn-Wolska, Katarzyna ; Bougueroua, Lamine
Author_Institution :
ESIGETEL, Fontainebleau-Avon, France
fYear :
2012
fDate :
21-23 Nov. 2012
Firstpage :
138
Lastpage :
143
Abstract :
This paper describes a system which surveys the French Presidential Election trends from Twitter´s discussions. This system carries out the automatic collection, evaluation and rating of tweets for evaluating the trends. The objective of this paper is to discuss the variety of issues and challenges surrounding the perspectives regarding the use of Social Network Analyses and Text Mining methods for applications in politics. The article will first present a review of the literature in Social Media and Text Mining analysis for political purposes and then describe the work done for our system for collecting and manipulating Twitter´s data.
Keywords :
data mining; politics; social networking (online); text analysis; French Presidential Election; Twitter data collection; Twitter data manipulation; automatic tweets collection; automatic tweets evaluation; automatic tweets rating; politics; social media; social network analysis; text mining methods; trend evaluation; tweets mining; Market research; Media; Nominations and elections; Semantics; Text mining; Twitter; Data Mining; Social Media; Social Network Analysis; Text Mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Aspects of Social Networks (CASoN), 2012 Fourth International Conference on
Conference_Location :
Sao Carlos
Print_ISBN :
978-1-4673-4793-8
Type :
conf
DOI :
10.1109/CASoN.2012.6412392
Filename :
6412392
Link To Document :
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