A performant deep learning model for sentiment analysis of climate change
Bibliographic Data
| ID | 4661609 |
|---|---|
| Authors | Mustapha Lydiri (0000-0003-3913-4690, Université Sultan Moulay Slimane, corresponding author), Yousef El Mourabit (Université Sultan Moulay Slimane), Youssef El Habouz (Centre National de la Recherche Scientifique), Mohamed Fakir (0000-0002-6740-9594, Université Sultan Moulay Slimane) |
| Year | 2022 |
| Volume | 13 |
| Issue | 1 |
| Publication date | 2022-12-15 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Network Analysis and Mining (JOURNAL) |
| Journal identifiers | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-022-01014-3 |
| OpenAlex | W4311773717 |
| Language | EN |
| Citations received | 3 |
| References cited | 43 |
Big data · Business · Climate change · Convolutional neural network · Corporate governance · Data mining · Data science · Deep learning · Machine learning · Climate Change Communication and Perception · Computer Science · Media Influence and Health · Public Relations and Crisis Communication · Artificial Intelligence
Sentiment Analysis and Opinion Mining
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
Twitter public sentiment dynamics on cruise tourism during the Covid-19 pandemic
Perceptions of climate change and willingness to save energy related to flood experience
Examining the Relationship Between Physical Vulnerability and Public Perceptions of Global Climate Change in the United States
Understanding demographic and socioeconomic biases of geotagged Twitter users at the county level
Climate on Cable
Topic modeling and sentiment analysis of global climate change tweets
| Unique citing works | 3 |
|---|---|
| Citations per year | 1 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |