A pragmatic and intelligent model for sarcasm detection in social media text
Bibliographic Data
| ID | 11240271 |
|---|---|
| Authors | Mayank Shrivastava (0000-0003-3024-7365, Jaypee University of Engineering and Technology), Shishir Kumar (0009-0009-3881-1718, Jaypee University of Engineering and Technology, corresponding author) |
| Year | 2021 |
| Volume | 64 |
| Pages | 101489 |
| Publication date | 2021-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technology in Society (JOURNAL) |
| Journal identifiers | ISSN: 0160-791X • E-ISSN: 1879-3274 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techsoc.2020.101489 |
| OpenAlex | W3111125993 |
| Language | EN |
| Citations received | 3 |
| References cited | 16 |
Cognitive psychology · Data science · Deception · Machine learning · PageRank · Population · Recall · Sarcasm · Social media · Sociology · Support vector machine · World Wide Web · Advanced Text Analysis Techniques · Computer Science · Psychology · Sentiment Analysis and Opinion Mining · Social Psychology · Text and Document Classification Technologies · Artificial Intelligence
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,75 |
| Citation span | 2022 - 2024 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |