Twitter Sentiment Analysis Based on US Presidential Election 2016

Somula Ramasubbareddy; K Dinesh Kumar; S. Aravindharamanan; K. Govinda

doi:10.1007/978-981-13-9282-5_34

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Twitter Sentiment Analysis Based on US Presidential Election 2016

Somula Ramasubbareddy K Dinesh Kumar S. Aravindharamanan K. Govinda

Year: 2019 Smart innovation, systems and technologies Pages: 363-373 Publisher: Springer Nature

DOI: 10.1007/978-981-13-9282-5_34

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Keywords:

Treasure Presidential election Quarter (Canadian coin) Sentiment analysis Social media Political science Advertising Presidential system World Wide Web Internet privacy Computer science Geography Business Politics Artificial intelligence Law

Metrics

Cited By

4.50

FWCI (Field Weighted Citation Impact)

Refs

0.96

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

Spam and Phishing Detection

Physical Sciences → Computer Science → Information Systems

Misinformation and Its Impacts

Social Sciences → Social Sciences → Sociology and Political Science

Twitter Sentiment Analysis Based on US Presidential Election 2016

Metrics

Citation History

Topics

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