WHAT DO INDONESIAN NETIZENS THINK ABOUT THE EMONEY? : A SENTIMENT ANALYSIS WITH MACHINE LEARNING
نویسندگان
چکیده
This study aims to identify the most popular topics and words in conversations cyberspace with issue of E-Money. In addition, research find out how netizens feel about E-Money help Machine Learning. uses a quantitative method sentiment analysis approach using Learning program, namely Orange Data Mining. The data used are tweets originating from Twitter that were crawled April 5, 2023, 12, 2023. Researchers keywords E-Money," "Electronic Money," Money" get total 800 tweets. results showed "Money," "Deposit," "Tools" three appear frequently discussions on Twitter, which is registration procedure for first time. widely discussed form Quizzes or giveaways, so these tweets, E-money as medium transferring funds. Overall, shown by positive, emotions dominated feelings joy surprise towards On other hand, tiny number still shows negatively, especially when experiencing technical problems E-Money, concerns arise security their money personal data. Then this can be issuers evaluation material continue improving system users safe satisfied will use an extended period.
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ژورنال
عنوان ژورنال: Jurnal riset akuntansi dan bisnis Airlangga
سال: 2023
ISSN: ['2548-4346', '2548-1401']
DOI: https://doi.org/10.20473/jraba.v8i1.44940