DocumentCode :
3156094
Title :
Sentiment Analysis on Social Media
Author :
Neri, Ferrante ; Aliprandi, Carlo ; Capeci, F. ; Cuadros, M. ; By, T.
Author_Institution :
Synthema Semantic Intell., Pisa, Italy
fYear :
2012
fDate :
26-29 Aug. 2012
Firstpage :
919
Lastpage :
926
Abstract :
The Web is a huge virtual space where to express and share individual opinions, influencing any aspect of life, with implications for marketing and communication alike. Social Media are influencing consumersâ preferences by shaping their attitudes and behaviors. Monitoring the Social Media activities is a good way to measure customersâ loyalty, keeping a track on their sentiment towards brands or products. Social Media are the next logical marketing arena. Currently, Facebook dominates the digital marketing space, followed closely by Twitter. This paper describes a Sentiment Analysis study performed on over than 1000 Facebook posts about newscasts, comparing the sentiment for Rai - the Italian public broadcasting service - towards the emerging and more dynamic private company La7. This study maps study results with observations made by the Osservatorio di Pavia, which is an Italian institute of research specialised in media analysis at theoretical and empirical level, engaged in the analysis of political communication in the mass media. This study takes also in account the data provided by Auditel regarding newscast audience, correlating the analysis of Social Media, of Facebook in particular, with measurable data, available to public domain.
Keywords :
Internet; consumer behaviour; customer satisfaction; monitoring; public relations; social networking (online); Auditel; Facebook; Italian public broadcasting service; Osservatorio di Pavia; Twitter; World Wide Web; consumers preferences; customer loyalty; digital marketing space; logical marketing arena; mass media; media analysis; newscast audience; political communication; private company; sentiment analysis; social media activities monitoring; virtual space; Companies; Engines; Facebook; Internet; Media; Natural languages; Semantics; brand reputation; lexical analysis; semantic analysis; sentiment analysis; sentiment mining; text mining; unsupervised clustering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-2497-7
Type :
conf
DOI :
10.1109/ASONAM.2012.164
Filename :
6425642
Link To Document :
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