Introduction
Social Media Analytics, defined as “the art and science of extracting valuable hidden insights from vast amounts of semi-structured and unstructured social media data to enable informed and insightful decision making”, is to collect and analyze data from social networks then make related strategic decisions about products and companies. [1]
Also, Social Media Analytics is an interdisciplinary area involving both humanities and technologies.
Humanities
The analysis of social media uses semantic analysis and combines the of text-based social media data with visual social media information to investigate from a social semiotic perspective and track the content of social media.[2]
Technologies
Besides data mining and statistical analysis, Social Media Analytics technically more cares about developing and evaluating informatics tools and frameworks to extract and analyze plenty of data collected in diverse multilingual channels (social networks, mass media), then summarize and visualize information. [3]
Analysis Methods
There are many ways to perform reliable Social Media Analytics based on big data, including natural language processing, sentiment analysis, opinion mining algorithms, social network analysis, recommendation, etc.
Workflow
First is to identify the target problem and motivation. Then do the data collection and analytics. And present the analytic result as well as do further related work.
Application Scenarios
Among the target applications, Social Media Analytics enables developers to do the monitoring work, then extend their products’ services and differentiate themselves from competitors.
Figure 1 Social Media Analytics benefits producers [4]
Additionally, Social Media Analytics helps communication agencies and corporate users in numerous industries.
Figure 2 Social Media Analytics benefits communication agencies and corporate users [4]
Conclusion
Taken together, Social Media Analytics is to process social media data and extract useful information in order to make contribution to strategic decisions.
Reference
[1] https://en.wikipedia.org/wiki/Social_media_analytics
[2] O’Halloran K, Chua A, Podlasov A. The role of images in social media analytics: A multimodal digital humanities approach[M]//Visual communication. De Gruyter, 2014: 565-588.
[3] Stieglitz S, Mirbabaie M, Fromm J, et al. The Adoption of social media analytics for crisis management-Challenges and Opportunities[C]//ECIS. 2018: 4.
ivy's studio 
I like your layout！🤭 And I totally agree with your ‘Application Scenarios’. This section tells people the benefits of social media analytics very comprehensively, and everyone should read this section.
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Thanks for your appreciate and feel happy that my article helps you know more about social media analytics ^^
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Your blog is very nice-looking and attractive! Figure 1 and figure 2 are very helpful to support your ideas in the ‘Application Scenarios’ part by showing the target application sectors very clearly and comprehensively. Besides, I have really benefited from your introduction for humanities, which is rarely mentioned in previous specialized courses.
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Thanks for your appreciation! Happy to hear that my post helps you know more about social media analytics in humanities. And if you want more information, you could refer to the paper: “The role of images in social media analytics: A multimodal digital humanities approach”. I benefited a lot from it.
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OK! I will. Thank you very much!
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Thanks for your appreciation and following! Readers’ recognition is the biggest motivation for me publishing more high-quality posts.
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I have to say that the layout and design of this article are excellent！There are many aspects involved in the article. It can help readers quickly understand the profile of social media analysis. And the author gives some references, which increases the reliability of the article.
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Thanks for your appreciation. Besides for providing more reliability, I listed the references for hoping my readers can check for the detail of what they interesting in with ease.
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