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Sentiment Analysis Meets Explainable Artificial Intelligence: A Survey on Explainable Sentiment Analysis by Arwa Diwali; Kawther Saeedi; Kia Dashtipour; Mandar Gogate; Erik Cambria; Amir Hussain is a Psychology article available to read on EtoBox.
What is Sentiment Analysis Meets Explainable Artificial Intelligence: A Survey on Explainable Sentiment Analysis about?
Sentiment analysis can be used to derive knowledge that is connected to emotions and opinions from textual data generated by people. As computer power has grown, and the availability of benchmark datasets has increased, deep learning models based on deep neural networks have emerged as the dominant approach for sentiment analysis. While these models offer significant advantages, their lack of interpretability poses a major challenge in comprehending the rationale behind their reasoning and prediction processes, leading to complications in the models' explainability. Further, only limited research has been carried out into developing deep learning models that describe their internal functionality and behaviors. In this timely study, we carry out a first of its kind overview of key sentiment analysis techniques and explainable artificial intelligence (AI) methodologies that are currently in use. Furthermore, we provide a comprehensive review of sentiment analysis explainability.
Who reads Sentiment Analysis Meets Explainable Artificial Intelligence: A Survey on Explainable Sentiment Analysis?
It is typically read by researchers, students, and practitioners in Psychology.
- Author
- Arwa Diwali; Kawther Saeedi; Kia Dashtipour; Mandar Gogate; Erik Cambria; Amir Hussain
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Published
- 2024
- Language
- EN
- Field
- Psychology (Social Sciences)