Sentiment Analysis on Predicting Presidential Election: Twitter Used Case

Nedaa Baker Al Barghuthi; Huwida Said

doi:10.1007/978-3-030-43364-2_10

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Sentiment Analysis on Predicting Presidential Election: Twitter Used Case

Nedaa Baker Al Barghuthi Huwida Said

Year: 2020 Communications in computer and information science Pages: 105-117 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-43364-2_10

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Keywords:

Presidential election Social media Sentiment analysis Presidential system The Internet Politics Key (lock) Political science Opinion leadership World Wide Web Advertising Computer science Public relations Artificial intelligence Business Law Computer security

Metrics

Cited By

1.30

FWCI (Field Weighted Citation Impact)

Refs

0.82

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Sentiment Analysis and Opinion Mining

Physical Sciences → Computer Science → Artificial Intelligence

Misinformation and Its Impacts

Social Sciences → Social Sciences → Sociology and Political Science

Social Media and Politics

Social Sciences → Social Sciences → Communication

Sentiment Analysis on Predicting Presidential Election: Twitter Used Case

Metrics

Citation History

Topics

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