[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.7236/IJIBC.2022.1.142

A Study on Explainable Artificial Intelligence-based Sentimental Analysis System Model

Song, Mi-Hwa (School of Smart IT, Semyung University)

Publication Information

International Journal of Internet, Broadcasting and Communication / v.14, no.1, 2022 , pp. 142-151 More about this Journal

Abstract

In this paper, a model combined with explanatory artificial intelligence (xAI) models was presented to secure the reliability of machine learning-based sentiment analysis and prediction. The applicability of the proposed model was tested and described using the IMDB dataset. This approach has an advantage in that it can explain how the data affects the prediction results of the model from various perspectives. In various applications of sentiment analysis such as recommendation system, emotion analysis through facial expression recognition, and opinion analysis, it is possible to gain trust from users of the system by presenting more specific and evidence-based analysis results to users.

Keywords

Explainable Artificial Intelligence; LIME; Sentimental Analysis; Model Interpretability;

Citations & Related Records

Reference

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