Abstract
This paper presents the report of a social media analytics (SMA) review. The review conducted to find out the methods and tools used in social media analytics, types of social media platforms which the SMA are performed and the field which SMA has been performed. Social media contains a lot of user uploaded data in different formats like text, images, photos, video etc. These large volumes of data are converted in meaningful information which can be understood using different methods and tools which are called social media analytics. A literature review of articles published between 2010-2020 has been conducted using articles obtained from reputable databases IEEE Xplore, ACM digital, Emerald insight, Springer Link and Science direct. A number of 44 articles have been selected for review from 110 retrieved papers. The paper has been reviewed according to the study objectives. The study found that SMA tools and techniques which have been used are sentiment analysis, youtube analytics, visible intelligence, IBM Watson tool and predictive models. The social media platforms which were mostly used are twitter, facebook, youtube, trip advisor and blogs. SMA has been observed in different fields like agriculture, politics, health, social and business sector.
Highlights
Social media are web-based services which allows users to post through a profile as well as allows connections to other profiles
Most of the reviewed articles demonstrate the usage of sentiment analysis in different areas 54.54% of the articles reviewed uses sentiment analysis Su and Chen (2016), Vorvoreanu et al (2013), Chang et al (2017), Xiang et al (2016), Park et al (2016), He et al (2017), Stieglitz (2012), Udanor and Anyanwu (2019), Shang et al (2018), Dong et al (2013,), Xu et al (2019), Dahal et al (2019), Kannan et al (2018), Martinez et al(2019), Alamsyah (2017), Barrelet et al (2016), Chen (2016), Chumwatana and Wongkolkitsilp (2019), Tian et al (2019), He et al (2019), Cvijikij and Michaheliles (2011), Hu et al (2011), Wu et al (2018), Santander et al (2020) and Von Hoffen et al (2019)
First the study identifies different methods and tools used in social media analytics
Summary
Social media are web-based services which allows users to post through a profile as well as allows connections to other profiles. The increasing use of social media creates web online communities which enable people to be connected, allow communication and collaboration with each other (Das, 2015). There is an increase in the number of people who are using social media, the number of social media users was expected to be 2.77 billion in 2019 (Drus, 2019). These users of social media create a big amount of data structured and unstructured through different social media platforms. Organization needs automated tools to extract social media data and perform sentiment analysis to this huge amount of data so that to gain knowledge and insights (He et al, 2017)
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