# Application of bidirectional LSTM deep learning technique for sentiment analysis of COVID-19 tweets: post-COVID vaccination era

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/application-of-bidirectional-lstm-deep-learning-technique-for-sentiment-analysis/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Akande Noah Oluwatobi,Morolake Oladayo Lawrence,Peter Ogedebe |
| Citations | 12 |
| DOI | 10.1186/s43067-023-00118-w |
| Fields | Computer Science,Social Sciences |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://jesit.springeropen.com/counter/pdf/10.1186/s43067-023-00118-w |
| OpenAlex ID | https://openalex.org/W4388398831 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Morolake Oladayo Lawrence](https://scholariq.org/researchers/morolake-oladayo-lawrence/)

## Paper journal

- [Journal of Electrical Systems and Information Technology](https://scholariq.org/journals/journal-of-electrical-systems-and-information-technology/)

## Paper primary topic

- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)

## Paper topics

- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)
- [Misinformation and Its Impacts](https://scholariq.org/topics/misinformation-and-its-impacts/)
- [Hate Speech and Cyberbullying Detection](https://scholariq.org/topics/hate-speech-and-cyberbullying-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.