Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/2556
Title: Social Media Content Analysis: Machine Learning
Authors: Vijayakumar, D Sudaroli
Senbagavalli, M
Thangaraju, Jesudas
Sathiyamoorthi, V
Keywords: Social media
Social media content analysis
Machine learning
Data
Algorithms
Issue Date: 2020
Publisher: IGI Global
Citation: Chapter 9; pp. 156-174
Abstract: Today's wealth and value are data. Data, used sensibly, are making wonders to make wise decisions for individuals, corporates, etc. The era of spending time with an individual to understand them better is gone. Individual's interests, requirements are identified easily by observing the activities an individual performs in social media. Social media, started as a tool for interaction, has grown as a platform to make and promote business. Social media content is unavoidable as the data that are going to be dealt with is huge in volume, variety, and velocity. The demand for using machine learning in analysing social media content is increasing at a faster pace in identifying influencers, demands of individuals. However, the real complexity lies in making the data from social media suitable for analysis. The type of data from social media content may be audio, video, image. The chapter attempts to give a comprehensive overview of the various pre-processing methods involved in dealing the social media content and the usage of right algorithms at the right time with suitable case examples. © 2022, IGI Global.
URI: https://doi.org/10.4018/978-1-7998-2566-1.ch009
http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/2556
ISBN: 9781799825685
9781799825661
Appears in Collections:Book/ Book Chapters

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