Twitter sentiment analysis

• Published in: Proceedings of the 6th International Conference on Information Technology and Multimedia pp. 212 - 216
• Main Authors: Sarlan, Aliza, Nadam, Chayanit, Basri, Shuib
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.11.2014
• Subjects: Business; Computers; Data mining; Media; natural language processing; opinion mining; sentiment; Sentiment analysis; social media; Twitter
• DOI: 10.1109/ICIMU.2014.7066632

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.