relation: https://khub.utp.edu.my/scholars/4540/
title: Twitter sentiment analysis
creator: Sarlan, A.
creator: Nadam, C.
creator: Basri, S.
description: Social media have received more attention nowadays. Public and private opinion about a wide variety of subjects are expressed and spread continually via numerous social media. Twitter is one of the social media that is gaining popularity. Twitter offers organizations a fast and effective way to analyze customers' perspectives toward the critical to success in the market place. Developing a program for sentiment analysis is an approach to be used to computationally measure customers' perceptions. This paper reports on the design of a sentiment analysis, extracting a vast amount of tweets. Prototyping is used in this development. Results classify customers' perspective via tweets into positive and negative, which is represented in a pie chart and html page. However, the program has planned to develop on a web application system, but due to limitation of Django which can be worked on a Linux server or LAMP, for further this approach need to be done. © 2014 IEEE.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2014
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Sarlan, A. and Nadam, C. and Basri, S.  (2014) Twitter sentiment analysis.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937485143&doi=10.1109%2fICIMU.2014.7066632&partnerID=40&md5=8e309c5e50fab09f271fd4bb07531a01
relation: 10.1109/ICIMU.2014.7066632
identifier: 10.1109/ICIMU.2014.7066632