Prosiding Seminar Nasional Rekayasa dan Teknologi (TAU SNAR- TEK)
Vol. 1 No. 1 (2019): Prosiding TAU SNAR-TEK Seminar Nasional Rekayasa dan Teknologi 2019

Analisis Sentimen Terhadap Layanan Provider Telekomunikasi Telkomsel Di Twitter Dengan Metode Naïve Bayes

Nizam Haqqizar (Tanri Abeng University)
Tika Nur Larasyanti (Tanri Abeng University)

Article Info

Publish Date
20 Jan 2020

Abstract

Opinion Data is taken from the Twitter social network based on a query in Bahasa Indonesia. This study aims to determine public sentiment on certain objects delivered on Twitter in Bahasa Indonesia, making it very useful to do market research on public opinion. The results of the study reviewed were 151 tweets with negative, neutral, positive sentiment &. Results of the 151 data processing training concluded that sentiment resulted in negative sentiment classification of 51 tweets, neutral sentiment of 51 tweets, and positive sentiments as much as 49 tweets. The accuracy rate in the category determination is 70.21% and the micro average of 70.20% in sentiment determination has a 70.11% precision rate and 70.33% return rate

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Journal Info
Prosiding Seminar Nasional Rekayasa dan Teknologi (TAU SNAR- TEK)
Website

Abbrev

snartek

Publisher

Universitas Tanri Abeng

Subject

Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering

Description

Informatika dan Elektro : Kecerdasan Buatan, Machine Learning & Deep Learning, IoT Innovation (IoT For Smart Farming, IoT For Health Care, IoT For Smart Access, etc.) Blockchain, Mobile Application, Cloud Computing, Data Mining & Web Mining, Bio-Informatics, IT Strategies, Emerging Cyber Threats in ...