학술논문

Predicting Elections: Social Media Data and Techniques
Document Type
Conference
Source
2019 International Conference on Engineering and Emerging Technologies (ICEET) Engineering and Emerging Technologies (ICEET), 2019 International Conference on. :1-6 Feb, 2019
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Twitter
Voting
Mathematical model
Facebook
Predictive models
Sentiment analysis
Election Prediction
Social Media Data
Sentiment Analysis
Politics
Language
ISSN
2409-2983
Abstract
During the last decade, the use social media has provided a virtual community where the users express their intention, opinion and communicate with others. Organizations and researchers are very much interested to investigate the polarity of the user's opinions for making predictions and planning of future plans. The use and influence of social media in politics have been recognized by many researchers and political parties in making electoral predictions and devising future campaign strategies. As the literature on making electoral predictions is increasing day by day, this study aims to give an overview of the current state of approaches being utilized, social media used for data collection and the outcomes of the proposed approaches, either succeeded in making accurate electoral predictions using social media data and approaches used or not. This study gives a quick overview and guides researchers in understanding the approaches previously adopted and data sources utilized in predicting electoral results.