%0 Conference Paper
%A Sarlan, A.
%A Nadam, C.
%A Basri, S.
%D 2014
%F scholars:4540
%I Institute of Electrical and Electronics Engineers Inc.
%K Application programs; Computer operating systems; Data mining; Sales; Social networking (online), Customer perspectives; Language processing; Market place; Natural language processing; Natural languages; Opinion mining; Sentiment; Sentiment analysis; Social media; Twitter, Sentiment analysis
%P 212-216
%R 10.1109/ICIMU.2014.7066632
%T Twitter sentiment analysis
%U https://khub.utp.edu.my/scholars/4540/
%X 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.
%Z cited By 85; Conference of 6th International Conference on Information Technology and Multimedia, ICIMU 2014 ; Conference Date: 18 November 2014 Through 20 November 2014; Conference Code:111721