Sentiment based Analysis of Tweets during the US Presidential Elections-Reference-Cited by-同舟云学术

Sentiment based Analysis of Tweets during the US Presidential Elections

Published:2017-06-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 18th Annual International Conference on Digital Government Research
language:
Short-container-title:

Author:

Yaqub Ussama¹,Chun Soon Ae²,Atluri Vijayalakshmi¹,Vaidya Jaideep¹

Affiliation:

1. Rutgers Business School, Newark, NJ

2. IS & Informatics, CSI City University of New York, Staten Island, NY, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3085228.3085285

Reference38 articles.

1. SentiStrength. http://sentistrength.wlv.ac.uk/ SentiStrength. http://sentistrength.wlv.ac.uk/

2. Calderon Nadya A. et al. "Mixed-initiative social media analytics at the World Bank: Observations of citizen sentiment in Twitter data to explore" trust" of political actors and state institutions and its relationship to social protest." In Big Data (Big Data) 2015 IEEE International Conference on pp. 1678--1687. IEEE 2015 10.1109/BigData.2015.7363939 Calderon Nadya A. et al. "Mixed-initiative social media analytics at the World Bank: Observations of citizen sentiment in Twitter data to explore" trust" of political actors and state institutions and its relationship to social protest." In Big Data (Big Data) 2015 IEEE International Conference on pp. 1678--1687. IEEE 2015 10.1109/BigData.2015.7363939

3. Measuring Emotional Contagion in Social Media

4. Quantifying the effect of sentiment on information diffusion in social media

5. An In-Depth Look at the Most Active Twitter User Data. © 2007-2017 SYSOMOS. https://sysomos.com/inside-twitter/most-active-twitter-user-data An In-Depth Look at the Most Active Twitter User Data. © 2007-2017 SYSOMOS. https://sysomos.com/inside-twitter/most-active-twitter-user-data

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning for Stock Market Prediction Using Sentiment and Technical Analysis;SN Computer Science;2024-04-18

2. Time Series Analysis of Sentiment: A Comparison of the US and UK Coronavirus Subreddits;International Journal of Information Technology & Decision Making;2023-04-06

3. Public opinion monitoring through collective semantic analysis of tweets;Social Network Analysis and Mining;2022-07-26

4. Sentiment and Emotions Analysis of Tweets During the Second Round of 2021 Ecuadorian Presidential Election;Proceedings of the 7th Brazilian Technology Symposium (BTSym’21);2022-07-20

5. A large-scale sentiment analysis of tweets pertaining to the 2020 US presidential election;Journal of Big Data;2022-06-16