Extracting Insights From Competitor's Mistakes: A Sentiment Analysis Approach Using Competitive set Online Reviews
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25619161%3A_____%2F23%3AN0000002" target="_blank" >RIV/25619161:_____/23:N0000002 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.18421/TEM123-58" target="_blank" >http://dx.doi.org/10.18421/TEM123-58</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18421/TEM123-58" target="_blank" >10.18421/TEM123-58</a>
Alternative languages
Result language
angličtina
Original language name
Extracting Insights From Competitor's Mistakes: A Sentiment Analysis Approach Using Competitive set Online Reviews
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
—
Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
TEM JOURNAL
ISSN
2217-8309
e-ISSN
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Volume of the periodical
12
Issue of the periodical within the volume
3
Country of publishing house
RS - THE REPUBLIC OF SERBIA
Number of pages
8
Pages from-to
1754-1761
UT code for WoS article
001059428400058
EID of the result in the Scopus database
2-s2.0-85171482839