Advances in Social Media Analysis by Mohamed Medhat Gaber, Mihaela Cocea, Nirmalie Wiratunga,

By Mohamed Medhat Gaber, Mihaela Cocea, Nirmalie Wiratunga, Ayse Goker

This quantity provides a set of conscientiously chosen contributions within the zone of social media research.
Each bankruptcy opens up a couple of study instructions that experience the aptitude to be taken on additional during this speedily turning out to be quarter of study.
The chapters are assorted adequate to serve a few instructions of analysis with Sentiment research because the dominant subject within the book.
The authors have supplied a wide variety of study achievements from multimodal sentiment identity to emotion detection in a chinese language microblogging website.
The e-book can be invaluable to investigate scholars, teachers and practitioners within the region of social media research.

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Extra resources for Advances in Social Media Analysis

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One option would be for them to simply identify and follow some Twitter accounts that tend to Tweet regularly about the news, such as @CNN or @BBCNews. This approach has drawbacks however. Major news organizations tend to follow similar agendas, meaning that when an event occurs, either all the accounts will send equivalent messages, flooding the user with redundant messages, or none will send messages and the consumer will never learn of the story. The summer 2013 protests in Gezi Park, Turkey, were largely ignored by the Turkish national media for example and global mainstream media reports initially lagged behind social media reports.

2014 Newshounds Newsh. 2014 RT Newsh. Rep. 1 18 Num. tweets (per 15 min. 2014 Date and time (GMT) Fig. g. retweets) is selected. Its text, is then “cleaned” (by removing redundant user mentions, URLs and abbreviations such as RT and MT) to make it more readable, and is then used as the topic title or label. The final topics are ranked by their bursty scores where each score is the maximum d f − id f t value of their constituent terms (see Sect. 3). Our assumption is that the the most popular term from each topic represents the core of the topic and diverse topics are detected by the algorithm as the collection is not event-based.

Also, the use of weighted topic-length ranking technique improves topic recall with hierarchical clustering in the political data sets. The Apriori algorithm performs quite well in combination with the weighted topic length ranking technique (note that this ranking technique was specially created for the “partial” membership clustering techniques). We see that the Apriori algorithm in combination with the maximum n-gram d f − id f t ranking technique produces slightly worse results, as this ranking technique does not produce diverse topics for the first results (from top 1 to top 10, in our case) as we mentioned earlier.

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