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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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

  • 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