Twitter sentiment around the Earnings Announcement events

Author:

Gabrovšek Peter,Aleksovski Darko,Mozetič IgorORCID,Grčar Miha

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference28 articles.

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2. Bollen J, Mao H, Pepe A. Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena. In: Proc. 5th Intl. AAAI Conf. on Weblogs and Social Media. vol. 11. AAAI; 2011. p. 450–453.

3. Mao H, Counts S, Bollen J. Predicting financial markets: Comparing survey, news, Twitter and search engine data. arXiv preprint. 2011;Available from: http://arxiv.org/abs/1112.1051.

4. Complex dynamics of our economic life on different scales: insights from search engine query data;T Preis;Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences,2010

5. Can Google trends search queries contribute to risk diversification?;L Kristoufek;Scientific reports,2013

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