INTRODUCTION CHAPTER 1 1.1PROJECT

Nguyen et al \cite{Micro:Ng} generates a summarized version of micro-reviews generated by various users through various social media sites about any

In the paper Nguyen et al \cite{Micro:Ng}, the model makes use of the Micro-reviews\cite{Micro:Ng} generated by the users through various social media sites about any particular entity. Micro-Reviews \cite{Micro:Ng} are the reviews that are not too long , easy to comprehend and also considered as the most appropriate feedback of the customer. But it is starting to get complicated as the number of Micro-Reviews \cite{Micro:Ng} are increasing and is hard to go through several thousands of the user reviews to find the best review suitable to the user preferences. In order to overcome this, these reviews are categorised in to either positive or negative feedbacks. Then this Micro-Reviews \cite{Micro:Ng} are associated and

Social media: new platform for intelligence, help business identify customer’s view about performance and customer relationship of business in the market.

In order for a business to maintain a competitive edge, they need to be able to understand in real time the needs of their customer base. With the advancement of social media, information that once was a trickle has now become a flood and businesses who want to remain competitive must be able to capitalize on information quickly. By analyzing data, businesses are better able to directly focus their marketing efforts and prices to gain their customers notice and stay ahead of their competitors (Savitz, 2012).

Twitter one of the most popular social networking sites. Both personal and corporate users enjoy twittering to engage in information-sharing. It has social as well as commercial utility. However, as is also the case with Facebook, Twitter is still striving to make its business model profitable as well as generate user traffic. Advertisers and marketers are interested in Twitter's ability to provide data about potential customers as well as its ability to expose users to advertising. However, there have been a number of concerns regarding the monetization of Twitter. Twitter's potential for 'data-mining' is alarming to many users. "By virtue of having a large number of users, Twitter also possessed such a database of personal information, as well as a large archive of personal messages" (Privacy issues and monetizing Twitter, 2011, Richard Ivey School of Business: 6).

Social media is one of the viral methods of spreading the news and information about anything in this world. If the company uses better strategies and make few investments in advertising themselves on social media, it will be a wide way for them to grab customer’s attention. Using the data analysis tools available in the market, the company can also perform social media analysis to identify what kind of products, yarn or fabric are grabbing

Twitter is used for staying connected with followers and promoting products, news, and corporate blog posts. They also use it to share content. One use of twitter is to share the current news in the industry. Along with this, they also post news that links users who click on it back to their website and to their blog. Pepperl+Fuchs uses their blog on their website as their main source of promoting products and dealing with customers. Another use for twitter is linking them with their partnering companies and helping promote them as well. For example, one tweet was, “Intertek collaborates with Pepperl+Fuchs on first hazardous locations panel shop project.” This linked users to a page on the Internet that talked about the partnership created and the project that was on hand. This example also ties into the idea of Pepperl+Fuchs using Twitter to share news. Overall, they use twitter to welcome new followers and create a community to share ideas and news about Pepperl+Fuchs, but their tweets mainly consists with links that take the user back to their blog or to articles on their

Proclaimed as the hottest company since Google and Facebook, Twitter introduced a revolutionary micro-blogging service in 2006 that allowed users to spread and share short messages of 140 characters (“tweets”) with friends and strangers subscribing to follow their communication flow (as so called “followers”) in order to find out what is happening right now from any point of the globe.

To the average technologically advanced American, Twitter is one of the most visited social media sites. From a popularity contest standpoint, Twitter would be amongst the top winners; however, when evaluating Twitter from a business analytical aspect it might not be a lucrative business venture. The attractive attribute to Twitter Inc. is the fact the sites does not make any of its users pay. Twitter is designed to allow users to voice multiple thoughts, ideas, or share different information amongst the site’s visitor. Unlike Facebook, Twitters does not have multi-million dollar corporations using the site on a regular basis to market more potential users. Therefore, with a low revenue base and poor strategic development implementation

Twitter; a social media platform which connects millions of people together, is one of many

The posts that are tweeted in the platform can be predicted through the use of machine learning technique. In context, the aforementioned works on the scale of predicting a tweet given the content of the tweet, the tweeter and more especially the retweeted. The above factors are instrumental in developing a detailed and analyzed strategy of acquiring information through Twitter. Notable also is the fact that the popularity of a user does not depend on the number of followers that one has or the count of the tweets. However, the count of the retweets and the number of users who took part in the process act as the appraisal of popularity and how quick the information will be propagated in the network. The factors that limit the propagation of the information in Twitter is the limit of the word character which is only 140. As such, there is a need to have a predefined terse message that will enhance the spread of the information. There is also need to authenticate information in Twitter so as to hamper rumors and

Both tools have been useful in allowing us to get a lot out of Twitter, comb through the network as a way to find out what relevant political news is happening in our target states, and to see if any of our bills/public policy positions are being mentioned within a state’s political “Twitter-verse”. Yet, we are looking at other new tools and services that demonstrate detailed social analytics and social listening features. The social listening element is important to our exploration of new tools because a service with a strong social listening component would potentially expand our ability to gain political knowledge of a state from social media and provide more insight into potential future target states for the

As in our study, LDA topics has improved accuracy of finding the keywords for different topics.In this work we examine the social aspects of food tweeting behavior, and provide some support to the social affinity that is not local in geographic sense. There have been several recent studies that probe the viability of public health surveillance by measuring relevant textual signals in social media.Prier, K.W.Smith, M.S.Giraud-Carrier, C. L. Hanson[5] examine all words people use in online reviews, and draw insights on correlating terms and concepts that may not seem immediately relevant to the hygiene status of restaurants. The work draws from the rich body of research that studies online reviews for sentiment analysis based on few research papers.

The term ‘social media’ has become a broad-term to describe a large number of online systems that serve as a platform for the generation, and distribution of user-generated content. Social media creates a virtual social space, where a large number of users come together and interact with one another. These interactions can be either structured, such as responses that are moderated on blogs, semi-structured, such as a discussion between an extended network on Facebook, or unstructured, such as the anarchial functioning of Twitter.

TWITTER IS THE NUMBER ONE MEDIUM FOR PEOPLE TO SHARE OPINIONS AND THOUGHTS ABOUT THEIR