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Enhanced Event Detection in Twitter Through Feature Analysis

Enhanced Event Detection in Twitter Through Feature Analysis

Dharini Ramachandran., Parvathi R.
Copyright: © 2019 |Volume: 14 |Issue: 3 |Pages: 15
ISSN: 1554-1045|EISSN: 1554-1053|EISBN13: 9781522564508|DOI: 10.4018/IJITWE.2019070101
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MLA

Dharini Ramachandran., and Parvathi R. "Enhanced Event Detection in Twitter Through Feature Analysis." IJITWE vol.14, no.3 2019: pp.1-15. https://doi.org/10.4018/IJITWE.2019070101

APA

Dharini Ramachandran. & Parvathi R. (2019). Enhanced Event Detection in Twitter Through Feature Analysis. International Journal of Information Technology and Web Engineering (IJITWE), 14(3), 1-15. https://doi.org/10.4018/IJITWE.2019070101

Chicago

Dharini Ramachandran., and Parvathi R. "Enhanced Event Detection in Twitter Through Feature Analysis," International Journal of Information Technology and Web Engineering (IJITWE) 14, no.3: 1-15. https://doi.org/10.4018/IJITWE.2019070101

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Abstract

The Digital era has the benefits in unearthing a large amount of imperative material. One such digital document is social media data, which when processed can give rise to information which can be helpful to our society. One of the many things that we can unearth from social media is events. Twitter is a very popular microblog that encompasses fruitful and rich information on real world events and popular topics. Event detection in view of situational awareness for crisis response is an important need of the current world. The identification of tweets comprising information that may assist in help and rescue operation is crucial. Most pertinent features for this process of identification are studied and the inferences are given in this article. The efficiency and practicality of the features are discussed here. This article also presents the results of experimentation carried out to assess the most relevant combination of features for improved performance in event detection from Twitter.

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