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Measure of the content creation score on social network using sentiment score and passion point

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10247252" target="_blank" >RIV/61989100:27240/20:10247252 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.scopus.com/sourceid/19500157321?origin=recordpage" target="_blank" >https://www.scopus.com/sourceid/19500157321?origin=recordpage</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3233/FAIA200587" target="_blank" >10.3233/FAIA200587</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Measure of the content creation score on social network using sentiment score and passion point

  • Original language description

    Social network is one of efficient tools for spreading information. The evaluation of the content creation of a user is a useful feature to improve the ability of information propagation on social network. In this paper, the measures for evaluating the user&apos;s content creation are proposed. They include the passion point of a user with a brand and the quality of the user&apos;s posts. The passion point is computed based on the sentiment score of posting and the activity of the user. The quality of the user&apos;s posts is computed through the analyzing of the post&apos;s content. Those measures are combined to analyze the interesting of posts. The proposed method has been tested and get the positive experimental results. (C) 2020 The authors and IOS Press. All rights reserved.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Frontiers in Artificial Intelligence and Applications. Volume 327

  • ISBN

    978-1-64368-114-6

  • ISSN

    0922-6389

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    425-434

  • Publisher name

    IOS Press

  • Place of publication

    Amsterdam

  • Event location

    Kitakjúšú

  • Event date

    Sep 22, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article