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Twitter is a globally used micro-blogging platformwith hundreds of millions of tweets sent every day. Manyresearchers have explored Twitter analytics across a wide rangeof areas such as topic modeling, sentiment analysis, eventdetection, as well as the application of Twitter for a variety ofdomain-specific application areas, e.g. disaster management. Onearea that has not been explored is how changes...
Social networking platforms such as Twitter have become a global phenomenon. Net citizens use such services as part of their daily lives. Given this, the opportunities to mine such data resources is of considerable interest to researchers, businesses and government alike. Many researchers have explored the analysis of such resources to support sentiment analysis and event detection amongst many other...
Social media resources such as Twitter provide global services for citizens to express opinions on people, products, events or even themselves. Often this data captures the mood (sentiment) of the tweeter. Accurate and timely extraction of sentiment from such big data can be used for many population-wide business and research scenarios. Whilst a range of sentiment analysis approaches has been taken,...
Social media is of great significance in modern society and the analysis of Twitter data has shown an increasing trend towards supporting different research efforts, from understanding society to marketing and analysis of organizations. The ubiquity of Twitter with over 2.9million Tweeters in Australia alone means that it can be used for many (potentially unforeseen) activities. In this paper we consider...
Twitter, the popular microblogging platform, has more than five hundred million registered users (Tweeters). These Tweeters generate a large amount of information every day. A big challenge and opportunity that is explored in this paper is to use this information to analyse health events -- ideally in real-time. Such real time information is essential for outbreaks of disease and identifying where...
Twitter, the popular microblogging platform, has more than five hundred million registered users -- so called Tweeters. These Tweeters generate a large amount of information every day. This information, whilst noisy and diverse is so voluminous that it can provide a key source of information that can support a range of research activities. Transport and traffic accidents are the examples chosen here...
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