J 2023

Extracting Insights From Competitor's Mistakes: A Sentiment Analysis Approach Using Competitive set Online Reviews

CHALUPA, Štěpán, Martin PETŘÍČEK and Karel CHADT

Basic 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:

URL

Organization unit

University College Prague – University of International Relations and Institute of Hospitality Management and Economics, Ltd.

DOI

http://dx.doi.org/10.18421/TEM123-58

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.
Displayed: 22/11/2024 05:15