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 few examine instructions that experience the aptitude to be taken on extra during this swiftly starting to be zone of study.
The chapters are different sufficient to serve a couple of instructions of study with Sentiment research because the dominant subject within the book.
The authors have supplied a extensive variety of study achievements from multimodal sentiment identity to emotion detection in a chinese language microblogging website.
The ebook can be invaluable to analyze scholars, lecturers and practitioners within the quarter of social media research.
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Additional info for Advances in Social Media Analysis
Martin et al. as the fraction of messages in the same slot that contain both of them, so it is highly likely that the term clusters whose similarities are high represent the same topic. The clustering is repeated until the similarity between the nearest un-merged clusters falls below a fixed threshold θ , producing the final set of topic clusters for a set of tweets. 5 which means that two terms must appear in at least half of the same tweets in order to belong to the same topic. Note that this threshold implicitly defines the number of clusters that the system returns for any given set of tweets.
A manual evaluation indicated that this approach identifies which team is supported for over 90 % of the tweeters but occasionally mis-identifies neutral reporters as supporting one team. We believe this could be improved if we extended the analysis over several matches to build up more evidence for support. We chose a total of 25 events from the two matches that were reported by the mainstream media (specifically the BBC commentaries). Of these our system found around 75–90 % of the events. The variation is likely due to the different nature of the two matches considered and the volume of tweets generated.
G. Gezici · B. Yanikoglu (B) · Y. edu G. edu Y. edu D. M. Gaber et al. 1007/978-3-319-18458-6_3 45 46 G. Gezici et al. 1 Introduction Sentiment analysis aims to extract the subjectivity and strength of the opinions indicated in a given text; which together indicate its semantic orientation. For instance, a given word or sentence in a specific context, or a review about a particular product can be analyzed to determine whether it is objective or subjective, together with the polarity of the opinion.