Abstract
Event detection in twitter is the process of discovering popular events using messages generated by the twitter users. Event detection is an interesting research topic. Tweets are focused and may contain short forms. The tweets are noisy because there may be personal messages by the user also. In this paper we propose an algorithm to find top k popular events using keywords contained in the tweets. This paper classifies the popular events into different categories and the timeline is provided for every event. The timeline is useful to check when the event was popular. Geotagging is also done to find where the event was popular. We have implemented the algorithm using 14,558 users and 5, 27,548 tweets over a period of 10 months (22 June, 2015 to 25 April, 2016). The results are quite promising.
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The Authors thanks the anonymous reviewers for their valuable suggestions that have helped in improving the paper.
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Kanwar, S., Niyogi, R., Milani, A. (2016). Discovering Popular Events on Twitter. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2016. ICCSA 2016. Lecture Notes in Computer Science(), vol 9790. Springer, Cham. https://doi.org/10.1007/978-3-319-42092-9_1
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DOI: https://doi.org/10.1007/978-3-319-42092-9_1
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