Cited By
View all- Cortis KDavis B(2021)Over a decade of social opinion mining: a systematic reviewArtificial Intelligence Review10.1007/s10462-021-10030-2Online publication date: 25-Jun-2021
Weighting Public Mood via Microblogging Analysis
Article No.: 45, Pages 1 - 5
Abstract
The analysis of social networks is a very challenging research area while a fundamental aspect concerns the alternations of users opinions. Accordingly, some specific users can affect their followers as they tend to be more "influential" than others. In this paper, we present a study on identifying such phenomena on Twitter and in following on determining whether specific users' posts can affect them. Furthermore, emotionally changed posts are analyzed so as to predict if they can alter public opinion towards certain events, persons and so on, when used by certain influential users. Finally, we aim in proposing a method for creating a group of selected users by combining their posts on a subject; this group will have the ability to drastically change the opinions of the rest of the users towards a specific emotional subject.
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Published In
November 2016
449 pages
ISBN:9781450347891
DOI:10.1145/3003733
Copyright © 2016 ACM.
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In-Cooperation
- Greek Com Soc: Greek Computer Society
- TEI: Technological Educational Institution of Athens
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 10 November 2016
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PCI '16
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Overall Acceptance Rate 190 of 390 submissions, 49%
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View all- Cortis KDavis B(2021)Over a decade of social opinion mining: a systematic reviewArtificial Intelligence Review10.1007/s10462-021-10030-2Online publication date: 25-Jun-2021
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