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

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

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作者：Mariam Adedoyin-Olowe^a ; ^{m.a.adedoyin-olowe@rgu.ac.uk" class="auth_mail" title="E-mail the corresponding author} ; Mohamed Medhat Gaber ; ^a ; ^{m.gaber1@rgu.ac.uk" class="auth_mail" title="E-mail the corresponding author} ; Carlos M. Dancausa^a ; ^{c.j.martin-dancausa@rgu.ac.uk" class="auth_mail" title="E-mail the corresponding author} ; Frederic Stahl^b ; ^{F.T.Stahl@reading.ac.uk" class="auth_mail" title="E-mail the corresponding author} ; Joã ; o Bá ; rtolo Gomes^c ; ^{joao@datarobot.com" class="auth_mail" title="E-mail the corresponding author}
关键词：Twitter ; Hashtags ; Associations rules ; Rule matching ; Rule mapping
刊名：Expert Systems with Applications
出版年：2016
出版时间：15 August 2016
年：2016
卷：55
期：Complete
页码：351-360
全文大小：799 K

文摘

class="label">•: We applied Association Rule Mining on tweets hashtags.
class="label">•: We used hashtag keywords for Topic Detection & Tracking on Twitter.
class="label">•: We performed our experiments on datasets from sports and political domains.

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