A Semantic BI Process for Detecting and Analyzing Mentions of Interest for a Domain in Tweets-Reference-Cited by-同舟云学术

A Semantic BI Process for Detecting and Analyzing Mentions of Interest for a Domain in Tweets

Published:2018-10-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 24th Brazilian Symposium on Multimedia and the Web
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Author:

Pereira Vilmar César¹,Fileto Renato¹,de Souza Willian Santos¹,Wittwer Matthias²,Reinhold Olaf²,Alt Rainer²

Affiliation:

1. Federal University of Santa Catarina, Florianópolis, SC, Brazil

2. University of Leipzig, Leipzig, Saxony, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3243082.3243100

Reference28 articles.

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2. A Survey of Techniques for Event Detection in Twitter

3. Kalina Bontcheva and Dominic Rout. 2012. Making sense of social media streams through semantics: A survey. Semantic Web (2012). Kalina Bontcheva and Dominic Rout. 2012. Making sense of social media streams through semantics: A survey. Semantic Web (2012).

4. Using Social Media for Actionable Disease Surveillance and Outbreak Management: A Systematic Literature Review

5. Towards OLAP Analysis of Multidimensional Tweet Streams

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