A rule dynamics approach to event detection in Twitter with its application to sports and politics
详细信息 查看全文
- 作者：Mariam Adedoyin-Olowea ; 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. Dancausaa ; c.j.martin-dancausa@rgu.ac.uk" class="auth_mail" title="E-mail the corresponding author ; Frederic Stahlb ; F.T.Stahl@reading.ac.uk" class="auth_mail" title="E-mail the corresponding author ; Joã ; o Bá ; rtolo Gomesc ; 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="listitem" id="list_celist0001">
- 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.