Detailed Information on Publication Record
2023
Extracting Insights From Competitor's Mistakes: A Sentiment Analysis Approach Using Competitive set Online Reviews
CHALUPA, Štěpán, Martin PETŘÍČEK and Karel CHADTBasic information
Original name
Extracting Insights From Competitor's Mistakes: A Sentiment Analysis Approach Using Competitive set Online Reviews
Authors
CHALUPA, Štěpán, Martin PETŘÍČEK and Karel CHADT
Edition
TEM JOURNAL, Srbsko, UIKTEN - Association for Information Communication Technology Education and Science, 2023, 2217-8309
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Country of publisher
Serbia
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Organization unit
University College Prague – University of International Relations and Institute of Hospitality Management and Economics, Ltd.
UT WoS
001059428400058
Keywords in English
– Sentiment analysis, online reputation, user-generated content analysis, competitiveness, market competition.
Tags
International impact, Reviewed
Změněno: 4/6/2024 09:44, Ing. Štěpán Chalupa, Ph.D.
Abstract
V originále
Sentiment analysis was used to understand the key aspects of the hotel quest stay with emphasis on the drivers of positive/negative experience. Other studies evaluated the impact of the online reputation on the business performance but the minority of the studies focused on the use of online reputation analysis within the competitive strategy creation. This study uses an open-source tool to crawl and analyze 15 907 online reviews from Booking.com, TripAdvisor.com, and Google.com for selected company and its competitors. The results show strength and weaknesses of individual companies that might be used to strengthen the company’s position of the market.