By Mohamed Medhat Gaber, Mihaela Cocea, Nirmalie Wiratunga, Ayse Goker
This quantity provides a suite of conscientiously chosen contributions within the quarter of social media research.
Each bankruptcy opens up a couple of study instructions that experience the capability to be taken on extra during this swiftly becoming quarter of study.
The chapters are different adequate to serve a couple of instructions of analysis with Sentiment research because the dominant subject within the book.
The authors have supplied a large variety of study achievements from multimodal sentiment id to emotion detection in a chinese language microblogging website.
The e-book can be worthy to investigate scholars, lecturers and practitioners within the zone of social media research.
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Extra info for Advances in Social Media Analysis
Note that this threshold implicitly defines the number of clusters that the system returns for any given set of tweets. If we use a very low threshold, then we will merge clusters that only share a few terms, which will tend to lead to a very small number of large clusters. A high threshold will conversely lead to a very large number of small clusters with very few overlapping terms. This gives a potential means to control the granularity of detected topics. Preliminary results suggest that the exact value is not critical.
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. In: Proceedings of International Conference on Weblogs and Social Media (ICWSM) (2009) 38. : Identifying and verifying news through social media. Digital Journalism (2014). 2014. 892747 Mining Newsworthy Topics from Social Media 43 39. : Peaks and persistence: modeling the shape of microblog conversations.
In a democracy, it is important that different arguments are presented and considered, and this may effect people’s opinions. Related work on automated document summarization has sometimes attempted to distinguish and summarize diverse opionions , but this is rare. In sports, fans may rarely change their allegiance to one team or another, but it is still interesting to consider the range of opinions expressed. Our work here can be seen as a step towards subjective event summarization, summarizing messages from specific, distinct points-of-view.