Predicting the ideological orientation during the Spanish 24M elections in Twitter using machine learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Human-Computer Interaction,Philosophy
Link
http://link.springer.com/content/pdf/10.1007/s00146-017-0761-0.pdf
Reference44 articles.
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3. Barberá P, Rivero G (2014) Understanding the political representativeness of Twitter Users. Soc Sci Comput Rev. doi: 10.1177/0894439314558836
4. Batrinka B, Treleaven PC (2015) Social media analytics: a survey of techniques, tools and platforms. AI Soc. doi: 10.1007/s00146-014-0549-4
5. Bird S et al (2009) Natural language processing with Python. O′Reilly Media, Boston
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