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Leveraging fine-grained sentiment analysis for competitivity

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F18%3A63519456" target="_blank" >RIV/70883521:28120/18:63519456 - isvavai.cz</a>

  • Alternative codes found

    RIV/70883521:28140/18:63519456

  • Result on the web

    <a href="http://dx.doi.org/10.1142/S0219649218500181" target="_blank" >http://dx.doi.org/10.1142/S0219649218500181</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1142/S0219649218500181" target="_blank" >10.1142/S0219649218500181</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Leveraging fine-grained sentiment analysis for competitivity

  • Original language description

    The surge in the use of social media tools by most businesses and corporate society for varied purposes cannot be over emphasised. The two top social media sites heavily patronised by businesses are Facebook and Twitter. For companies to harness the business potential of social media to increase competitive advantage, sentiments behind textual data of their customers, fans and competitors must be monitored and analysed with keen interest. This paper demonstrates how companies in the Telecommunication industry can understand consumer opinions, frustrations and satisfaction through opinion mining analyses and interpret customers&apos; textual data to enhance competitiveness. Sentiment analysis that classifies positive, negative and neutral sentiments of customers of the top three telecommunication companies in Ghana (MTN, Vodafone and Tigo) is studied. The proposed method extracts &quot;intelligence&quot; from the classified customers&apos; comments and compares it with responses from the companies. The results show how customer sentiments can be harnessed into successful online advertising projects. Companies can use the results to enhance their responsiveness to customer-centred, improve on the quality of their service, integrate social sentiments into PR plan, develop a strategy for social media marketing and leverage on the advantages of online advertising.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Information and Knowledge Management

  • ISSN

    0219-6492

  • e-ISSN

  • Volume of the periodical

    17

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    SG - SINGAPORE

  • Number of pages

    4

  • Pages from-to

  • UT code for WoS article

    000434477400007

  • EID of the result in the Scopus database

    2-s2.0-85044767396