By Mohamed Medhat Gaber, Mihaela Cocea, Nirmalie Wiratunga, Ayse Goker
This quantity offers a suite of rigorously chosen contributions within the zone of social media research.
Each bankruptcy opens up a few study instructions that experience the capability to be taken on extra during this swiftly turning out to be sector of analysis.
The chapters are assorted sufficient to serve a few instructions of analysis with Sentiment research because the dominant subject within the book.
The authors have supplied a wide diversity of analysis achievements from multimodal sentiment id to emotion detection in a chinese language microblogging website.
The e-book should be precious to investigate scholars, lecturers and practitioners within the region of social media research.
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Extra resources for Advances in Social Media Analysis
IEEE Trans. Multimedia 15(6), 1268–1282 (2013). 2265080 3. 0 streams. In: Proceedings of the 2011 International Conference on Management of Data, pp. 1271–1274. ACM (2011) 4. : Beyond trending topics: real-world event identification on Twitter. In: Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM11) (2011) 5. : Streaming trend detection in Twitter. National Science Foundation REU for Artificial Intelligence, Natural Language Processing and Information Retrieval, University of Colarado (2010) 6.
This means that a user interface displaying these topics could be updated every 1–2 min to show the current top-10 (or top-m) stories. To generate the sets of Tweets used in the evaluation, we crawled Twitter during the events using appropriate sets of filter keywords, such as the names of the participants. For timetabled events, such as elections and sports fixtures, such keywords are easy to define in advance and help to ensure that the topics discovered are newsworthy. For less predictable breaking news stories, such as natural disasters, other approaches may be more appropriate.
In: Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, vol. 3, pp. 120–123 (2010) 35. : Detecting a multi-level content similarity from microblogs based on community structures and named entities. J. Emerg. Technol. Web Intell. 3(1), 11–19 (2011) 36. : Detecting and tracking political abuse in social media. In: Proceedings of the International Conference on Weblogs and Social Media (ICWSM) (2011) 37. : Event detection and tracking in social streams.