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Using sentiment detection on tweets to form opinions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00332832" target="_blank" >RIV/68407700:21230/19:00332832 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21730/19:00332832

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using sentiment detection on tweets to form opinions

  • Original language description

    In this paper we explore the possibility of using social media to aggregate knowledge about previously unknown subject and use sentiment analysis to gauge the overall opinion on a certain topic on social media. We train different sentiment classifier models and leverage them together with TwitterAPI to form a sentiment score on a presented topic that serves as a basis for the system’s opinion.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the International Student Scientific Conference Poster – 23/2019

  • ISBN

    978-80-01-06581-5

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    196-197

  • Publisher name

    ČVUT FEL, Středisko vědecko-technických informací

  • Place of publication

    Praha

  • Event location

    ČVUT FEL, Technická 2, Praha 6

  • Event date

    May 23, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article