Application of bidirectional LSTM deep learning technique for sentiment analysis of COVID-19 tweets: post-COVID vaccination era
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Application of bidirectional LSTM deep learning technique for sentiment analysis of COVID-19 tweets: post-COVID vaccination era ; volume:10 ; number:1 ; day:6 ; month:11 ; year:2023 ; pages:1-17 ; date:12.2023
Journal of electrical systems and information technology ; 10, Heft 1 (6.11.2023), 1-17, 12.2023
- Creator
-
Akande, Oluwatobi Noah
Lawrence, Morolake Oladayo
Ogedebe, Peter
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s43067-023-00118-w
- URN
-
urn:nbn:de:101:1-2024012309243004712831
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:40 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Akande, Oluwatobi Noah
- Lawrence, Morolake Oladayo
- Ogedebe, Peter
- SpringerLink (Online service)
Other Objects (12)
Emotion classification of Indonesian Tweets using Bidirectional LSTM
A novel bidirectional LSTM deep learning approach for COVID-19 forecasting
Predicting COVID-19 cases using bidirectional LSTM on multivariate time series
Post-COVID-19 encephalomyelitis
Stacked-CNN-BiLSTM-COVID: an effective stacked ensemble deep learning framework for sentiment analysis of Arabic COVID-19 tweets
The post-covid monetary hangover
Addressing standardized definitions of post-COVID and long-COVID
Post-COVID : Selbsthilfe bei postviralen Beschwerden
Russia's growth potential post-COVID-19
Post-COVID : Selbsthilfe bei postviralen Beschwerden
Post-COVID : Spätfolgen einer Corona-Infektion
Post-COVID-19-Invasive Pulmonary Mycosis
Emotion classification of Indonesian Tweets using Bidirectional LSTM
A novel bidirectional LSTM deep learning approach for COVID-19 forecasting
Predicting COVID-19 cases using bidirectional LSTM on multivariate time series
Post-COVID-19 encephalomyelitis
Stacked-CNN-BiLSTM-COVID: an effective stacked ensemble deep learning framework for sentiment analysis of Arabic COVID-19 tweets
The post-covid monetary hangover
Addressing standardized definitions of post-COVID and long-COVID
Post-COVID : Selbsthilfe bei postviralen Beschwerden
Russia's growth potential post-COVID-19
Post-COVID : Selbsthilfe bei postviralen Beschwerden
Post-COVID : Spätfolgen einer Corona-Infektion
Post-COVID-19-Invasive Pulmonary Mycosis
Emotion classification of Indonesian Tweets using Bidirectional LSTM
A novel bidirectional LSTM deep learning approach for COVID-19 forecasting
Predicting COVID-19 cases using bidirectional LSTM on multivariate time series
Post-COVID-19 encephalomyelitis
Stacked-CNN-BiLSTM-COVID: an effective stacked ensemble deep learning framework for sentiment analysis of Arabic COVID-19 tweets
The post-covid monetary hangover
Addressing standardized definitions of post-COVID and long-COVID
Post-COVID : Selbsthilfe bei postviralen Beschwerden
Russia's growth potential post-COVID-19
Post-COVID : Selbsthilfe bei postviralen Beschwerden
Post-COVID : Spätfolgen einer Corona-Infektion