Analyzing public sentiment in Iranian presidential elections on Twitter using large language models
Bibliographic Data
| ID | 7158759 |
|---|---|
| Authors | Mojgan Askarizade (Yazd University), Ensieh Davoodijam (0000-0002-2297-9921, Arak University, corresponding author) |
| Year | 2025 |
| Volume | 8 |
| Issue | 4 |
| Publication date | 2025-11-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Computational Social Science (JOURNAL) |
| Journal identifiers | ISSN: 2432-2725 • E-ISSN: 2432-2717 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s42001-025-00431-6 |
| OpenAlex | W4415275123 |
| Language | EN |
| References cited | 59 |
Language model · Politics · Presidential election · Presidential system · Public opinion · Sentiment analysis · Unavailability · Advanced Text Analysis Techniques · Sentiment Analysis and Opinion Mining · Topic Modeling
A survey on sentiment analysis methods, applications, and challenges
Social Media and the Arab Spring
Studying political microblogging
Mind games
Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis
Seizing the moment
Mediatization and Media Interventionism
Is Social Media Changing How We Understand Political Engagement? An Analysis of Facebook and the 2008 Presidential Election
Social media discourse and voting decisions influence
| Highly cited | No |
|---|