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Polish Information Processing Society
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Annals of Computer Science and Information Systems, Volume 8

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems

Knowledge Gained from Twitter Data

DOI: http://dx.doi.org/10.15439/2016F149

Citation: Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 8, pages 1133–1136 ()

Full text

Abstract. Social media constitute a challenging new source of information for intelligence gathering and decision making. Twitter is one of the most popular social media sites and often becomes the primary source of information. Twitter messages are short and well suited for knowledge discovery. Twitter provides both researchers and practitioners a free Application Programming Interface (API) which allows them to gather and analyse large data sets of tweets. Twitter data are not only tweet texts, as Twitter's API provides more information to perform interesting research studies. The paper briefly describes process of data gathering and the main areas of data mining, knowledge discovery and data visualisation from Twitter data.

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