SENTIMENT ANALYSIS ON TWEETS ABOUT THE ELECTION CANDIDATES ISING TEXTBLOB

dc.contributor.authorTlepova M.
dc.date.accessioned2024-01-04T03:42:31Z
dc.date.available2024-01-04T03:42:31Z
dc.date.issued2023
dc.description.abstractAbstract. Sentiment analysis is the categorization of the speaker’s, writer’s, or other subject’s perspective on a certain issue. Since Kazakhstan's presidential election in 2022 is one of the most discussed events we distinguish people’s perspectives on the election and each candidate. The possible leader of the country will be influenced by the public’s perception of a candidate. A diverse data set illustrating the current public perceptions of the candidates are gathered from the Twitter platform. The collected tweets are examined using a lexicon- based methodology TextBlob to ascertain the public’s sentiments. In this study, we analyze the collected tweets to identify the polarity and subjectivity measures that provide light on the user perception of a certain candidate.
dc.identifier.citationM. Tlepova / SENTIMENT ANALYSIS ON TWEETS ABOUT THE ELECTION CANDIDATES ISING TEXTBLOB / СДУ хабаршысы - 2023
dc.identifier.issn2709-2631
dc.identifier.urihttps://repository.sdu.edu.kz/handle/123456789/1090
dc.language.isoen
dc.publisherСДУ хабаршысы - 2023
dc.subjectSensual analysis
dc.subjectpresidential election
dc.subjectTextBlob
dc.subjectСДУ хабаршысы - 2023
dc.subject№1
dc.titleSENTIMENT ANALYSIS ON TWEETS ABOUT THE ELECTION CANDIDATES ISING TEXTBLOB
dc.typeArticle

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