Progressive Analysis on Twitter-Social Data Using Cloud Soumya Terala, Student of M.Tech, Specialization - Software Engineering Padmasri Dr.B.V.Raju Institute of Technology Hyderabad, India terala.soumya@gmail.com Niladri Sekhar Dey, Asst. Professor, Dept of IT Padmasri Dr.B.V.Raju Institute of Technology Hyderabad, India niladri.dey@bvrit.ac.in Sujoy Bhattacharya, Professor, Dept of IT Padmasri Dr.B.V.Raju Institute of Technology Hyderabad, India sujoy.b@bvrit.ac.in Abstract - As the rise of social networking, people started share information through different kinds of social media. Among all of them, twitter is an important resource. Twitter is a micro-blogging service that enables its users to send and read text-based messages of up to 140 characters, known as "tweets". It was created in March 2006 by Jack Dorsey and launched in July. In this project we present a novel system which collects tweets from the users. With the information gathered from the tweets we shall be able to create a trend based on information. This research proposes a method of mining on tweets and allows the analyst to query for decision making data. we use cloud services such as Amazon Simple DB to store the data of the user as it is cost efficient, provides security and the data in cloud can never be prone to crashes rather than maintain the data in a local system . Keywords- Twitter, Trend Analysis, Trend Analysis on Twitter, Simple DB Response time I. INTRODUCTION A social network is a social structure made up of a set of actors (such as individuals or organizations) and a complex set of the dyadic ties between these actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities as well as a variety of theories explaining the patterns observed in these structures. The study of these structures uses social network analysis II. MATERIALS AND METHODS to identify local and global patterns, locate influential entities, and examine network dynamics. Twitter: Twitter is an online social networking service and micro blogging service that enables its users to send and read text-based messages of up to 140 characters, known as "tweets".It was created in March 2006 by Jack Dorsey and launched that July. The service rapidly gained worldwide popularity, with over 500 million registered users as of 2012, generating over 340 million tweets daily and handling over 1.6 billion search queries per day. Since its launch, Twitter has become one of the ten most visited websites on the Internet, and has been described as "the SMS of the Internet." Unregistered users can read tweets, while registered users can post tweets through the website interface, SMS, or a range of apps Trend Analysis: Trend analysis is a form of comparative analysis that is often employed to identify current and future movements of an investment or group of investments. The process may involve comparing past and current financial ratios as they related to various institutions in order to project how long the current trend will continue. This type of information is extremely helpful to investors who wish to make the most from their investments. The process of a trend analysis begins with identifying the category of the investments that are under consideration. For example, if the investor wishes to get an idea on the potential for making a profit with pork bellies, the focus will be on the performance of pork bellies in a commodities market. The trend analysis will include more than one supplier for the commodity, in order to get a more accurate picture of the current status of pork bellies on the market. for mobile devices. Trend Analysis on Twitter: Twitter is now the third most popular social network, behind Facebook and MySpace (Compete, 2009). A year ago, it has over a million users and 200,000 active monthly users sending over 3 million updates per day(TechCrunch, 2008). Those figures have almost certainly increased since then, with the Soumya Terala et al. / International Journal of Computer Science & Engineering Technology (IJCSET) ISSN : 2229-3345 Vol. 4 No. 10 Oct 2013 1347