Focused Crawling Using Context Graphs
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Slot Grammar: A System for Simpler Construction of Practical Natural Language Grammars
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Computational Linguistics
Movie Review Mining: a Comparison between Supervised and Unsupervised Classification Approaches
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 4 - Volume 04
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Stalker, A Multilingual Text Mining Search Engine for Open Source Intelligence
IV '08 Proceedings of the 2008 12th International Conference Information Visualisation
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Mining Textual Data to Boost Information Access in OSINT
IV '09 Proceedings of the 2009 13th International Conference Information Visualisation
Monitoring the Web Sentiment, The Italian Prime Minister's Case
ASONAM '10 Proceedings of the 2010 International Conference on Advances in Social Networks Analysis and Mining
Lexicon-based methods for sentiment analysis
Computational Linguistics
Semi-supervised recursive autoencoders for predicting sentiment distributions
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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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, availbale to public domain.