# Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/sentiment-analysis-of-covid-19-tweets-by-deep-learning-classifiers-a-study-to/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Koyel Chakraborty,Surbhi Bhatia,Siddhartha Bhattacharyya,Jan Platoš,Rajib Bag,Aboul Ella Hassanien |
| Citations | 383 |
| DOI | 10.1016/j.asoc.2020.106754 |
| Fields | Computer Science,Social Sciences |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/7521435 |
| OpenAlex ID | https://openalex.org/W3088352144 |
| PMID | 33013254 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Aboul Ella Hassanien](https://scholariq.org/researchers/aboul-ella-hassanien/)

## Paper primary topic

- [Misinformation and Its Impacts](https://scholariq.org/topics/misinformation-and-its-impacts/)

## Paper topics

- [Misinformation and Its Impacts](https://scholariq.org/topics/misinformation-and-its-impacts/)
- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)
- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.