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Sentiment Analysis on Social Media

Neri, F., Aliprandi, C., Capeci, F., Cuadros, M., By, T.·2012·2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

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.

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Metadata

Authors
Neri, F., Aliprandi, C., Capeci, F., Cuadros, M., & By, T.
Venue
2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Publisher
IEEE
Published
2012-08
Pages
919-926
OpenAlex
W2148122886
Cited by
232
References
1
FWCI
3.45
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Sentiment Analysis on Social Media. https://app.cochat.ai/papers/10.1109/asonam.2012.164
The paper
Neri, F., Aliprandi, C., Capeci, F., Cuadros, M., & By, T. (2012). Sentiment Analysis on Social Media. 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. https://doi.org/10.1109/asonam.2012.164

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