Journal of International Conference Proceedings
Vol 2, No 1 (2019): Proceedings of the 3rd International Conference of Project Management (ICPM) Bal

Sentiment Analysis of Twitter Use on Policy Institution Services using Naïve Bayes Classifier Method

Deborah Kurniawati (STMIK AKAKOM Yogyakarta)
Edy Prayitno (STMIK AKAKOM Yogyakarta)
Dini Fakta Sari (STMIK AKAKOM Yogyakarta)
Septian Narsa Putra (STMIK AKAKOM Yogyakarta)

Article Info

Publish Date
27 Apr 2019

Abstract

Twitter is one of the social media used to respond to various services of public service institutions, including the police. The research aims to determine the community's assessment of the services and performance of police institutions delivered via Twitter. This study uses the Naïve Bayes Classifier algorithm to classify topics and public sentiment towards tweets from police agencies. The results obtained were 181 positive tweets, 322 negative tweets, and 33 neutral tweets. Sentiment analysis showed 55% responded positively to police activities, 19.1% responded positively to public comments, and 91.8% responded positively to social services. It can be concluded that most people support police activities and services, but most people are still dissatisfied with police performance.

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Journal Info
Journal of International Conference Proceedings
Website

Abbrev

JICP

Publisher

AIBPM Publisher

Subject

Humanities Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

Description

JICP is proceedings series that aims to publish proceedings from conferences, in the fields of economics, business, and management research. All proceedings in this website are open access, which means the published articles are permanently free to read, download, copy, and distribute. The online ...