Sentiment Analysis on Twitter Posts: An analysis of Positive or Negative Opinion on GoJek

Windasari, Ike Pertiwi and Satoto, Kodrat Iman and Uzzi, Fajar Nurul Sentiment Analysis on Twitter Posts: An analysis of Positive or Negative Opinion on GoJek. 2017 4th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE) . ISSN 978-1-5386-3947-4

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Official URL: https://ieeexplore.ieee.org/document/8257715

Abstract

Online transportation, such as GoJek, is preferred by many users especially in areas where public transport is difficult to access or when there is a traffic jam. Twitter is a popular social networking site in Indonesia that can generate informations from users’ tweets. In this study, we proposed a system that detect public sentiments based on Twitter post about online transportation services especially GoJek. The system will collect tweets, analyze the tweets sentiments using SVM, and group them into positive and negative sentiment. Keywords— Support Vector Machine (SVM), GoJek, Tweets

Item Type:Article
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Faculty of Engineering > Department of Computer System
Faculty of Engineering > Department of Computer System
ID Code:68712
Deposited By:Mr. Siskom Admin
Deposited On:15 Jan 2019 09:33
Last Modified:30 Apr 2019 10:40

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