Abstract

Sentiment analysis or opinion mining is the computational study of people’s opinions, sentiments, attitudes, and emotions expressed in written language.This study presents an aspect-based novel approach for sentiment analysis of customer reviews for OYO hotels.The sentiment analysis conducted in this study is founded on the primary amenities individuals consider when making their final decisions regarding hotels. These key factors include the quality of food offerings, the attributes of the rooms, and the service provided by the staff. By analyzing sentiments expressed in relation to these crucial aspects, we aim to gain valuable insights into the preferences and perceptions of hotel guests.This analysis holds the potential to offer significant benefits not only to customers but also to hotels themselves.It enables the identification of areas of strength and areas requiring improvement. By leveraging sentiment analysis techniques, hotels can gain valuable insights into the specific aspects of their operations that excel and those that necessitate enhancement, thus facilitating targeted efforts to elevate the overall guest experience. This analytical approach serves as a valuable tool for guiding hotels in their quest for continuous improvement and aligning their strategic initiatives with customer preferences and satisfaction.

Keywords:
Sentiment analysis Computer science Relation (database) Service (business) Data science Identification (biology) Quality (philosophy) Perception Customer satisfaction Key (lock) Customer service Knowledge management Marketing Artificial intelligence Business Data mining Psychology

Metrics

2
Cited By
0.51
FWCI (Field Weighted Citation Impact)
10
Refs
0.68
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Sentiment Analysis and Opinion Mining
Physical Sciences →  Computer Science →  Artificial Intelligence
Digital Marketing and Social Media
Social Sciences →  Social Sciences →  Sociology and Political Science
Wine Industry and Tourism
Social Sciences →  Business, Management and Accounting →  Tourism, Leisure and Hospitality Management
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