TY - GEN
T1 - Sentiment analysis data by shopeepaylater twitter’s opinion using naïve bayes classifier
AU - Indriani, Fauzillah
AU - Wibowo, Wahyu
N1 - Publisher Copyright:
© 2022 American Institute of Physics Inc.. All rights reserved.
PY - 2022/10/11
Y1 - 2022/10/11
N2 - The Covid-19 pandemic effect on online shopping transactions rather than offline in order to prevent the spread of the Covid-19 virus. The paylater service help Indonesian become more easier to shop by taking out a loan. Shopee is one of the marketplaces that has a paylater service, namely Shopee PayLater, which is one of the payment methods on the Shopee platform that allows Shopee users to shop and only pay at a later date when it is due. Every new ShopeePayLater user want to know how the previous user responded as a form of testimony after using this feature via Twitter in the form of tweets. So it is necessary to conduct a sentiment analysis to find out public opinion with the existence of ShopeepayLater using the Naïve Bayes Classifier method so that it can provide useful information for Shopee and the public regarding ShopeePayLater services. Calculation of classification accuracy is carried out using G-Mean and AUC, because the sentiment of the tweets data is included in the imbalancedata category resulting in a G-Mean value of 64,79% and AUC of 66,12%.
AB - The Covid-19 pandemic effect on online shopping transactions rather than offline in order to prevent the spread of the Covid-19 virus. The paylater service help Indonesian become more easier to shop by taking out a loan. Shopee is one of the marketplaces that has a paylater service, namely Shopee PayLater, which is one of the payment methods on the Shopee platform that allows Shopee users to shop and only pay at a later date when it is due. Every new ShopeePayLater user want to know how the previous user responded as a form of testimony after using this feature via Twitter in the form of tweets. So it is necessary to conduct a sentiment analysis to find out public opinion with the existence of ShopeepayLater using the Naïve Bayes Classifier method so that it can provide useful information for Shopee and the public regarding ShopeePayLater services. Calculation of classification accuracy is carried out using G-Mean and AUC, because the sentiment of the tweets data is included in the imbalancedata category resulting in a G-Mean value of 64,79% and AUC of 66,12%.
UR - http://www.scopus.com/inward/record.url?scp=85140266782&partnerID=8YFLogxK
U2 - 10.1063/5.0111732
DO - 10.1063/5.0111732
M3 - Conference contribution
AN - SCOPUS:85140266782
T3 - AIP Conference Proceedings
BT - 3rd International Conference on Mathematics and Sciences, ICMSc 2021
A2 - Nugroho, Rudy Agung
A2 - Allo, Veliyana Londong
A2 - Siringoringo, Meiliyani
A2 - Prangga, Surya
A2 - Wahidah, null
A2 - Munir, Rahmiati
A2 - Hiyahara, Irfan Ashari
PB - American Institute of Physics Inc.
T2 - 3rd International Conference on Mathematics and Sciences 2021: A Brighter Future with Tropical Innovation in the Application of Industry 4.0, ICMSc 2021
Y2 - 12 October 2021 through 13 October 2021
ER -