JINAV: Journal of Information and Visualization
Vol. 4 No. 1 (2023)

Sentiment Analysis on Twitter Social Media towards Shopee E-Commerce through Support Vector Machine (SVM) Method

Putri Samapa Hutapea (Fakultas Informatika, Universitas Telkom)
Warih Maharani (Fakultas Informatika, Universitas Telkom)

Article Info

Publish Date
26 Jan 2023

Abstract

Shopee is e-commerce widely accessed and used in this era. Many people use Shopee because the products offered are cheaper and more affordable. Despite the fact that Shopee is a well-known e-commerce, it still requires responses and suggestions from the public to maintain or improve the features required. In this study, public sentiment analysis was carried out on Twitter social media related to the Shopee marketplace. This study collected data that contained tweets from predetermined keywords and used Word2Vec and Support Vector Machine classification methods. The use of Word2Vec influenced the level of accuracy so that it increased for each SVM kernel. Meanwhile, the best hyperparameter tuning was found in the polynomial kernel, with an accuracy rate of 93.20%.

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Journal Info
JINAV: Journal of Information and Visualization
Website

Abbrev

jinav

Publisher

PT. Mattawang Mediatama Solution

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science Mathematics

Description

JINAV: Journal of Information and Visualization is an international peer-reviewed open-access journal dedicated to interchange for the results of high-quality research in all aspects of information science and technology, data, knowledge, communication, and their visualization. The journal publishes ...