How to evaluate urban emotions using twitter social media
Bibliographic Data
| ID | 11454792 |
|---|---|
| Authors | Ehsan Dorostkar (0000-0003-2090-7059, University of Guilan, corresponding author), Mahsa Najarsadeghi (0000-0001-5185-2914) |
| Year | 2022 |
| Volume | 127 |
| Pages | 103713 |
| Publication date | 2022-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cities (JOURNAL) |
| Journal identifiers | ISSN: 0264-2751 • E-ISSN: 1873-6084 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.cities.2022.103713 |
| OpenAlex | W4281685442 |
| Language | EN |
| Citations received | 13 |
| References cited | 25 |
Affect (linguistics · Coronavirus disease 2019 (COVID-19 · Data science · Emotion detection · Emotion recognition · Sentiment analysis · Social media · Sociology · World Wide Web · Communication · Complex Network Analysis Techniques · Computer Science · Human Mobility and Location-Based Analysis · Medicine · Psychology · Sentiment Analysis and Opinion Mining · Artificial Intelligence
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| Unique citing works | 13 |
|---|---|
| Citations per year | 3,25 |
| Citation span | 2022 - 2025 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 13 |