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An Efficient Aspect based Sentiment Analysis Model by the Hybrid Fusion of Speech and Text Aspects
2021
International Journal of Advanced Computer Science and Applications
Aspect-based Sentiment Analysis (ABSA) is treated to be a challenging task in the domain of speech, as it needs the fusion of acoustic features and Linguistic features for information retrieval and decision making. The existing studies in speech are limited to speech and emotion recognition. The main objective of this work is to combine acoustic features in speech with linguistic features in text for ABSA. A deep learning and language model is implemented for acoustic feature extraction in
doi:10.14569/ijacsa.2021.0120920
fatcat:6opcy2s2qfaf7axzn5rieujvqq