Vote Bank Forecast Based on Social Media Sentiment Analysis-Reference-Cited by-同舟云学术

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Vote Bank Forecast Based on Social Media Sentiment Analysis

Published:2023-12-20 Issue: Volume:11 Page:1-8
ISSN:
Container-title:2023 17th International Conference on Open Source Systems and Technologies (ICOSST)
language:
Short-container-title:

Author:

Zaland Zubair¹,Bazai Sibghat Ullah²,Ghafoor Muhammad Imran³,Akram Saira²,Waseem Muhammad¹,Qaseem Muhammad¹

Affiliation:

1. Balochistan University of Information Technology, Engineering, and Management Sciences, (BUITEMS),Dept. of Software Engineering,Quetta,Pakistan

2. Balochistan University of Information, Technology, Engineering, and Management Sciences, (BUITEMS),Dept.of Computer Engineering,Quetta,Pakistan

3. Pakistan Television Corporation Lahore Pakistan,Dept. of Engineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10414190/10414192/10414249.pdf?arnumber=10414249

Reference35 articles.

1. Result prediction for political parties using Twitter sentiment analysis;Rao;International Journal of Computer Engineering and Technology,2020

2. Can We Forecast Presidential Election Using Twitter Data? An Integrative Modelling Approach

3. Sentiment analysis to predict election results using Python

4. Politics and Big Data

5. Election Prediction Based on Sentiment Analysis using Twitter Data

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