Public Opinion Toward Social Business from a Social Media Perspective

Shen, Chien Wen; Ho, Jung tsung

doi:10.1007/978-3-319-93803-5_52

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…Studies have done on predicting the political preferences of users of twitter networks by their online actions [7]. Apart from political issues public opinion mining tasks have been done for several other purposese.g.decision making for business strategy [17][18],Kimet. al.have shown how reviews of social media can be a determinant of improvement of restaurants' performance [19].…”

Section: 1analyzing Public Perspective From Socialmediamentioning

confidence: 99%

Predicting Election Outcome from Social Media Data

Das¹,

Anwar²

2020

IJNLC

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In this era of technology, enormous Online Social Networking Sites (OSNs) have arisen as a medium of expressing any opinions, thoughts to wards anything even support their status against any social or political matter at the same time. Nowadays , people connected to those networks are more likely to prefer to employ themselves utilizing these online platforms to exhibit their standings upon any political organizations participating in the election throughout the whole election period. The aim of this paper is to predict the outcome of the election by engaging the tweets posted on Twitter pertaining to the Australian federal election-2019 held on May 18, 2019. We aggregated two efficacious techniques in order to extract the information from the tweet data to count a virtual vote for each corresponding political group. The original results of the election closely match the finding so four investigation, published by the Australian Electoral Commission.

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Section: 1analyzing Public Perspective From Socialmediamentioning

confidence: 99%