Knowbase : International Journal of Knowledge in Database
Vol. 2 No. 2 (2022): December 2022

Implementation of the Support Vector Machine Method for Sentiment Analysis Using Twitter Data

Wahyuni, Widya (Unknown)



Article Info

Publish Date
28 Dec 2022

Abstract

The development of feminism, which is centered on women all over the world who want to be free of male pressure, oppression, and inequality, has continued to the present day. Various public opinions about feminism are now being expressed on various social media platforms. There has been a long debate about feminism's critics and supporters in terms of equalizing women's intellectual and the role of women in making decisions. Not only that, but the desire to end acts of violence and injustice against women is a form of feminism that is often taken for granted, even in the legal realm. The purpose of this study was to examine public sentiment based on opinions shared on social media. Hashtags related to feminism from social media are the main data that will be used to analyze public opinion sentiments about feminism. In this study, 500 tweets were used, and the data was later separated into positive, negative, and neutral opinions before being analyzed using the Support Vector Machine (SVM) method. The results of this study obtained an accuracy of 72%, indicating that the use of SVM to perform sentiment analysis on Twitter data is quite good.

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Journal Info

Abbrev

ijokid

Publisher

Subject

Computer Science & IT

Description

Knowbase : International Journal of Knowledge in Database is a peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia to ...