The Impact of Data Augmentation on Sentiment Analysis of Translated Textual Data

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/26278

Title:	The Impact of Data Augmentation on Sentiment Analysis of Translated Textual Data
Authors:	Omran, T Sharef, B Grosan, C Li, Y
Keywords:	data augmentation;LSTM;translation-based;modern standard Arabic;Bahraini dialects
Issue Date:	8-Mar-2023
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Citation:	Omran, T. et al. (2023) 'The Impact of Data Augmentation on Sentiment Analysis of Translated Textual Data', Proceedings of the International Conference on IT Innovations and Knowledge Discovery (ITIKD 2023), Manama, Bahrain, 8-9 March, pp. [1] - [4].
URI:	https://bura.brunel.ac.uk/handle/2438/26278
Other Identifiers:	ORCID iDs: Crina Grosan https://orcid.org/0000-0003-1049-2136; Yongmin Li https://orcid.org/0000-0003-1668-2440.
Appears in Collections:	Dept of Computer Science Research Papers

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