Coletto, Mauro and Lucchese, Claudio and Orlando, Salvatore and Perego, Raffaele Electoral predictions with Twitter: a machine-learning approach. In: 6th Italian Information Retrieval Workshop, 25-26 May 2015, Cagliari, Italy (2015)
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Abstract
Several studies have shown how to approximately predict public opinion, such as in political elections, by analyzing user activities in blogging platforms and on-line social networks. The task is challenging for several reasons. Sample bias and automatic understanding of textual content are two of several non trivial issues. In this work we study how Twitter can provide some interesting insights concerning the primary elections of an Italian political party. State-of-the-art approaches rely on indicators based on tweet and user volumes, often including sentiment analysis. We investigate how to exploit and improve those indicators in order to reduce the bias of the Twitter users sample. We propose novel indicators and a novel content-based method. Furthermore, we study how a machine learning approach can learn correction factors for those indicators. Experimental results on Twitter data support the validity of the proposed methods and their improvement over the state of the art.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Published in "Proceedings of the 6th Italian Information Retrieval Workshop" |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Research Area: | Computer Science and Applications |
| Depositing User: | Ms T. Iannizzi |
| Date Deposited: | 23 May 2016 09:52 |
| Last Modified: | 23 May 2016 09:52 |
| URI: | http://eprints.imtlucca.it/id/eprint/3489 |
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