Jurnal Aplikasi Pelayaran dan Kepelabuhanan
Vol 14 No 2 (2024): bulan Maret

Sentiment Analysis of Bali Hai Cruises Reviews Using Support Vector Machine Algorithm

Akhmad, Ekka Pujo Ariesanto (Unknown)
Purwiyanto, Didik (Unknown)

Article Info

Publish Date
01 Mar 2024

Abstract

This paper presents sentiment analysis in online reviews using Support Vector Machine (SVM) algorithm. This research aims to classify the sentiment of online reviews into positive or negative by utilizing the SVM algorithm. The dataset used in this research consists of online reviews from May 2020 to April 2024 from www.tripadvisor.com. The results show the effectiveness of the SVM algorithm in accurately categorizing sentiment in online reviews, with a high level of precision and recall. The findings of this study have important implications for understanding and analyzing sentiment in online content, and can be utilized in various applications such as market research, customer feedback analysis, and opinion gathering.

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Journal Info
Jurnal Aplikasi Pelayaran dan Kepelabuhanan
Website

Abbrev

jurnal

Publisher

Universitas Hang Tuah

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Social Sciences Transportation

Description

The Jurnal Aplikasi Pelayaran dan Kepelabuhanan contains scientific writings in the fields of shipping, ship machinery, port management, and transportation, all of which are the result of research or literature ...