Abstract: The study of prediction models, sentiment analysis, and recommendation systems has gained prominence in business and application research. It is essential to streamline the suggestion process based on customer needs as internet reviews of restaurants gain traction. This study analyses the emotional tone of online reviews using sentiment analysis and recommendation systems, and provides restaurants with insightful information about how well their products are received by customers. The key features of the study include deriving the factors that led to the model prediction, sentimental tone analysis using the explainable AI tool LIME, and SHAP. This will provide detailed insight into the key features that define the model and the driving forces behind its output.
Keywords: prediction; sentiment analysis; recommendation; LIME; SHAP.
Title: PREDICTION MODEL, SENTIMENT ANALYSIS AND RECOMMENDATION SYSTEM ON ZOMATO BANGALORE DATASET WITH XAI TOOLS LIME AND SHAP
Author: Mekhala Vinod Purohit, Dr. Shantha Rangaswamy
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
Vol. 12, Issue 1, January 2024 - March 2024
Page No: 7-15
Research Publish Journals
Website: www.researchpublish.com
Published Date: 29-February-2024
