TraffTrend

Jain, Arihant; Kumar, Ashok; Garg, Javesh; Patange, Utkarsh; Jalan, Prashant

doi:10.1145/2778865.2778875

Cited by 1 publication

(3 citation statements)

References 3 publications

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“…SMA in health can be applied to find insight on different matter several studies have been reviewed in health sector which comprise about 9.09%; Culotta (2010), Martinez et al (2019), Al Kubaizi et al (2015), andSaravan andPerepu (2019). The study also finds the usage of SMA in local government issues, Bukhari et al (2012) SMA also has been applied in social issues like racism and social topics discover equal 11.36% Weiler (2013), Jain et al (2015), Myaeng et al (2016), Dias et al (2018, and Udanor and Anyanwu (2019).…”

Section: The Areas Which Sma Has Been Donementioning

confidence: 99%

“…The study uses graph representation and clustering techniques was Markov chains. Another social issue application of SMA was road safety as it was studied by Jain et al (2015) they developed the system which provides real time updates of traffic trends using social media analytics performed in facebook and twitter. Machine learning models and trend analysis tools were used.…”

Section: Summary Of Reviewed Articlesmentioning

confidence: 99%

“…77.27% of the reviewed articles use twitter as the social media platform and the study found that most of the analytics performed in twitter platform was sentiment analysis; Su and Chen (2016), Vorvoreanu et al (2013), Bukhari et al (2012), Xiang et al (2016), Park et al (2016), Stieglitz (2012), Myaeng (2016, Weiler (2013), Anyanwu (2019), Shang et al (2018), Dong et al (2019), Xu et al (2019), Dahal et al (2019), Singh et al (2018), Kannan et al (2018), Culotta (2010), Martinez et al (2019), Al Kubaizi et al (2015), Saravan and Perepu (2019), Alamsyah (2017), Barrelet et al (2016), Chen (2016), Chumwatana and Wongkolkitsilp (2019), Tian et al (2019), He et al (2019), Hu et al (2011), Sachdeva andMc Caffrey (2018), Udanor et al (2016), Wu et al (2018), Santander et al (2020, Ghosh et al (2017), Araya et al (2017, Rahmani et al (2013), andVon Hoffen et al (2019). 18.18% of the reviewed articles used Facebook; Vorvoreanu et al (2013), Bukhari et al (2012), Dias et al (2018), Jain et al (2015, Saravan and Perepu (2019), Chumwatana and Wongkolkitsilp (2019), Cvijikj andMichaheliles (2011), and…”

Section: Types Of Sm Platforms Used For Smamentioning

confidence: 99%

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A Review of Usage and Applications of Social Media Analytics

Madila¹,

Dida²,

Kaijage³

2021

J INFORM SYSTEMS ENG

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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.

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