SENTIMENT ANALYSIS ON TWEETS ABOUT THE ELECTION CANDIDATES ISING TEXTBLOB
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Date
2023
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
СДУ хабаршысы - 2023
Abstract
Abstract. 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.
Description
Keywords
Sensual analysis, presidential election, TextBlob, СДУ хабаршысы - 2023, №1
Citation
M. Tlepova / SENTIMENT ANALYSIS ON TWEETS ABOUT THE ELECTION CANDIDATES ISING TEXTBLOB / СДУ хабаршысы - 2023