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Vol.11, No.4, November 2022. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Exploring Sentiment Analysis on E-Commerce Business: Lazada and Shopee
Jenny Yow Bee Yin, Nor Hasliza Md Saad, Zulnaidi Yaacob
© 2022 Nor Hasliza Md Saad, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 11, Issue 4, Pages 1508-1519, ISSN 2217-8309, DOI: 10.18421/TEM114-11, November 2022.
Received: 03 July 2022. Revised: 05 September 2022.
Abstract:
TThis study examined Twitter users' attitudes regarding e-commerce businesses, Lazada and Shopee. The primary goal of this research is to determine the sentiment of Twitter users toward the ecommerce company and the topic debate among Twitter users. The results demonstrate that both companies are receiving more positive than negative sentiment, indicating that Twitter users share positive opinions about Lazada and Shopee on social media. RapidMiner was chosen as a tool to extract data from Twitter through the Twitter API, data cleaning, and perform sentiment analysis. The sentiment is classified into three sentiment classes; Positive, Negative, or Neutral. These results will help Shopee and Lazada determine how the audience perceives the experience and recommendation. The results contribute to our understanding of e-commerce business services. It provides an overview of the public's viewpoint so that e-commerce businesses may comprehend their services' strengths and weaknesses and enhance marketing strategy.
Keywords – sentiment analysis, Twitter, Lazada, Shopee, e-commerce. |
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