Twitter sentiment analysis

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 anal...

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Bibliographic Details
Published inProceedings of the 6th International Conference on Information Technology and Multimedia pp. 212 - 216
Main Authors Sarlan, Aliza, Nadam, Chayanit, Basri, Shuib
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2014
Subjects
Business
Computers
Data mining
Media
natural language processing
opinion mining
sentiment
Sentiment analysis
social media
Twitter
Online AccessGet full text
DOI10.1109/ICIMU.2014.7066632

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Summary: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.
DOI:10.1109/ICIMU.2014.7066632