Corrigendum to “Sentiment analysis in multilingual context: Comparative analysis of machine learning and hybrid deep learning models” [Heliyon Volume 9, Issue 9, September 2023, Article e20281]
Rajesh Kumar Das, Mirajul Islam, Md Mahmudul Hasan, Sultana Razia, Mocksidul Hassan, Sharun Akter Khushbu
Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsSentiment Analysis and Opinion Mining
In this article, references [1] and [2] were included in error:
[1] S. Kaur Chatrath, G.S. Batra, Y. Chaba, Handling consumer vulnerability in e-commerce product images using machine learning, Heliyon 8 (9) (2022), https://doi.org/10.1016/j.heliyon.2022.e10743 .
[2] V. Balakrishnan et al., A deep learning approach in predicting products’ sentiment ratings: a comparative analysis, J. Supercomput. 78 (5) (2021) 7206, https://doi.org/10.1007/s11227-021-04169-6.–7226 .
The correct version should be as below:
[1] Al Tamer M. The advantages and limitations of e-commerce to both customers & businesses. BAU Journal-Creative Sustainable Development. 2021; 2(2):6.
[2] Jílková P, Králová P. Digital consumer behaviour and ecommerce trends during the COVID-19 crisis. International Advances in Economic Research. 2021 Feb; 27(1):83–85.
The authors apologize for the errors.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.