@inproceedings{scholars4540,
            note = {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},
            year = {2014},
             doi = {10.1109/ICIMU.2014.7066632},
         journal = {Conference Proceedings - 6th International Conference on Information Technology and Multimedia at UNITEN: Cultivating Creativity and Enabling Technology Through the Internet of Things, ICIMU 2014},
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
           title = {Twitter sentiment analysis},
           pages = {212--216},
        abstract = {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. {\^A}{\copyright} 2014 IEEE.},
        keywords = {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},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937485143&doi=10.1109\%2fICIMU.2014.7066632&partnerID=40&md5=8e309c5e50fab09f271fd4bb07531a01},
            isbn = {9781479954230},
          author = {Sarlan, A. and Nadam, C. and Basri, S.}
}