Jurnal Mantik
Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)

Sentiment Analysis On Twitter Using The Target-Dependent Approach And The Support Vector Machine (SVM) Method: Sentiment Analysis On Twitter Using The Target-Dependent Approach And The Support Vector Machine (SVM) Method

Tansa Trisna Astono Putri (Universitas Negeri Medan)
Mhd. Dominique Mendoza (Universitas Negeri Medan)
Muhammad Fadhiel Alie (Universitas Indo Global Mandiri)



Article Info

Publish Date
01 May 2020

Abstract

Opinions or sentiments given by the public on Twitter social media have attracted attention for research. In this study, what will be done in connection with sentiment analysis on Twitter is to use a target-dependent approach. Where given a data twit or opinion relating to 3 major cities in Indonesia, namely Jakarta, Bandung and Medan, and will be classified as opinions that are positive, negative or neutral. Due to the social media used is Twitter, which can only write opinions in 140 characters, it is possible to find data on tweets or ambiguous opinions. Therefore, this study focuses on sentiment analysis with a target-dependent approach using the SVM method for classification. The target-dependent approach itself consists of 2 stages, namely determining matters relating to the topic of discussion and collecting data on tweets related to the topic. Broadly speaking, this research was carried out in 4 stages, namely preprocessing, classification with a target-dependent approach and SVM method and finally the determination of opinion classification)

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Journal Info

Abbrev

mantik

Publisher

Subject

Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

Description

Jurnal Mantik (Manajemen, Teknologi Informatika dan Komunikasi) is a scientific journal in information systems/informati containing the scientific literature on studies of pure and applied research in information systems/information technology,Comptuer Science and management science and public ...