eprintid: 19843
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/98/43
datestamp: 2024-06-04 14:19:34
lastmod: 2024-06-04 14:19:34
status_changed: 2024-06-04 14:16:00
type: article
metadata_visibility: show
creators_name: Ariff, M.I.M.
creators_name: Salim, R.M.Z.R.
creators_name: Azizan, A.
creators_name: Ahmad, S.
creators_name: Arshad, N.I.
creators_name: Abdullah, M.N.
title: Exploring public sentiments towards courier services in Malaysia through Twitter: a sentiment analysis approach
ispublished: pub
note: cited By 0
abstract: This study delves into the sentiment analysis of courier services in Malaysia through the lens of tweets. With the escalating reliance on courier services for daily parcel deliveries, understanding public sentiment becomes imperative. Through a systematic methodology encompassing data gathering, preparation, alteration, analysis, modeling, and deployment, this study aims to furnish valuable insights and recommendations. A dynamic graphical representation of sentiment scores is presented for intuitive interpretation and informed decision-making. The study's significance lies in empowering Malaysians to make judicious choices regarding courier services, thereby fostering transparency in the industry. The study proposes several avenues for future enhancements, including the integration of autocorrect features, diversifying data sources and languages, incorporating deep learning techniques, and developing a user-friendly interface for enhanced visualization. This study serves as a guiding resource, illuminating sentiments surrounding courier services in Malaysia and paving the way for future advancements in sentiment analysis within this domain. © 2024 Institute of Advanced Engineering and Science. All rights reserved.
date: 2024
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185599034&doi=10.11591%2fijeecs.v33.i3.pp1966-1973&partnerID=40&md5=aad5c6a34a4a62710ba2a22faa10f313
id_number: 10.11591/ijeecs.v33.i3.pp1966-1973
full_text_status: none
publication: Indonesian Journal of Electrical Engineering and Computer Science
volume: 33
number: 3
pagerange: 1966-1973
refereed: TRUE
citation:   Ariff, M.I.M. and Salim, R.M.Z.R. and Azizan, A. and Ahmad, S. and Arshad, N.I. and Abdullah, M.N.  (2024) Exploring public sentiments towards courier services in Malaysia through Twitter: a sentiment analysis approach.  Indonesian Journal of Electrical Engineering and Computer Science, 33 (3).  pp. 1966-1973.