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Predicting the popularity of tweets by analyzing public opinion and emotions in different stages of Covid-19 pandemic

  • Published:2022-04 Issue:1 Volume:2 Page:100053
  • ISSN:2667-0968
  • Container-title:International Journal of Information Management Data Insights
  • language:en
  • Short-container-title:International Journal of Information Management Data Insights

Author:

Mahdikhani Maryam

Publisher

Elsevier BV

Subject

General Medicine

Reference60 articles.

1. Top Concerns of Tweeters during the COVID-19 Pandemic: Infoveillance study;Abd-Alrazaq;Journal of Medical Internet Research,2020

2. User's action and decision making of retweet messages towards reducing misinformation spread during disaster;Abdullah;Journal of Information Processing,2015

3. Social performance and social media activity in times of pandemic: Evidence from COVID-19-related Twitter activity;Baboukardos;Corporate Governance: The International Journal of Business in Society, ahead-of-print(ahead-of-print),2021

4. A random forest guided tour;Biau;TEST,2016

5. Latent dirichlet allocation;Blei;Journal of Machine Learning Research,2003

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2. An exploration of the causal factors making an online course content popular & engaging;International Journal of Information Management Data Insights;2023-11

3. Growth of digital brand name through customer satisfaction with big data analytics in the hospitality sector after the COVID-19 crisis;International Journal of Information Management Data Insights;2023-11

4. AFRF: Angle Feature Retrieval Based Popularity Forecasting;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

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