A rule dynamics approach to event detection in Twitter with its application to sports and politics

Mariam Adedoyin-Olowe; Mohamed Medhat Gaber; Carlos M. Dancausa; Frederic Stahl; João Bártolo Gomes

doi:10.1016/j.eswa.2016.02.028

A rule dynamics approach to event detection in Twitter with its application to sports and politics

Mariam Adedoyin-Olowe
, Mohamed Medhat Gaber^*
, Carlos M. Dancausa
, Frederic Stahl
, João Bártolo Gomes

^*Corresponding author for this work

Robert Gordon University
University of Reading
DataRobot Inc.

Research output: Contribution to journal › Article › peer-review

72 Citations (SciVal)

Original language	English
Pages (from-to)	351-360
Number of pages	10
Journal	Expert Systems with Applications
Volume	55
DOIs	https://doi.org/10.1016/j.eswa.2016.02.028
Publication status	Published (VoR) - 15 Aug 2016

Keywords

Associations rules
Hashtags
Rule mapping
Rule matching
Twitter

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10.1016/j.eswa.2016.02.028

Cite this

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keywords = "Associations rules, Hashtags, Rule mapping, Rule matching, Twitter",

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AU - Dancausa, Carlos M.

AU - Stahl, Frederic

AU - Gomes, João Bártolo

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KW - Hashtags

KW - Rule mapping

KW - Rule matching

KW - Twitter

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EP - 360

JO - Expert Systems with Applications

JF - Expert Systems with Applications

ER -

A rule dynamics approach to event detection in Twitter with its application to sports and politics

Keywords

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