TY  - CONF
N1  - 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
N2  - 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.
TI  - Twitter sentiment analysis
ID  - scholars4540
SP  - 212
KW  - Application programs; Computer operating systems; Data mining; Sales; Social networking (online)
KW  -  Customer perspectives; Language processing; Market place; Natural language processing; Natural languages; Opinion mining; Sentiment; Sentiment analysis; Social media; Twitter
KW  -  Sentiment analysis
AV  - none
A1  - Sarlan, A.
A1  - Nadam, C.
A1  - Basri, S.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937485143&doi=10.1109%2fICIMU.2014.7066632&partnerID=40&md5=8e309c5e50fab09f271fd4bb07531a01
EP  - 216
Y1  - 2014///
PB  - Institute of Electrical and Electronics Engineers Inc.
SN  - 9781479954230
ER  -