Social Media Mining : Sentiment Analysis

Instagram, Facebook, Snapchat, and Twitter; some of the most popular forms of social media. All of which give people the ability to express their feelings, show off things they have accomplished and family vacations they went on or simply snap a quick picture to a friend. Just when being able to text someone messages through a phone was extraordinary, after the invention of a cordless cell phone, millennials step it up yet again with social media as a new form of communication and connecting with people all over the world. Today in society almost everyone has some form of social media, especially within millennials. Having this easy way to show everyone on the internet, even strangers, what you are doing has really put a negative impact on millennials. They are spending too much time looking at their phones rather than actual human interactions, they also have allowed for intrusion into their private lives, and the creation of another form of peer pressure. As a result of these negative justifications, they have set them aside from older generations and their way of communicating and interacting socially.

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

Social media has emerged as the most powerful form of communication these days. The ability to voice an opinion from anywhere over anything has coined and popularized the term ‘Global Citizen. Many social platforms available these days provide the avenues for the companies and organization to make a brand for themselves by directly engaging with their customers. If you don’t like some brand you bought or a movie you just watched, login on Twitter or Facebook and tell the world. These platforms provide an access into what is currently trending or making the stir at the moment. Thus, there is a huge repository of opinionated data that if harnessed strategically can help to solve problems ranging from what product to invest into complex business

The almost omnipresent Internet transforms our lives, connecting us to family, friends, and the world in ways inconceivable only a few years ago. Through social media, we actively participate in creating, editing, and consuming a never-ending stream of data. Private corporations and protagonists of political or social change all vie to reach and engage highly targeted

Recently, people are now discussing how social media changes our life, whether it is good or bad. Some of them think that social media is a kind of fad because of its rapid development. Others think that it is really useful and makes our life easier than before.

With the rapid rise of social media, the vast majority of data generated could be used to build intelligent systems tailored to individual needs at the same time could also be used to help the society as a whole. EMBERS is one the prime examples of social media mining being used to forecast societal events such as civil unrests and help society. Since the data mined from social media are mostly unstructured and noisy, new methods and techniques are needed to extract knowledge; Thus presenting with new challenges to solve. Equipped with the Data Mining Fundamentals and Programming proficiency during my undergraduate tenure, I would like to embark upon the challenges posed and develop novel Data Mining techniques and scalable computational

These results did not assess the content of the tweet; however the researchers pointed out that whether the tweets expressed positive or negative opinions about the candidate, the results still indicated a positive relationship between tweets and votes, indicating that more tweets does equal more votes, regardless of content. The research found that there was a statistically significant correlation between the percentages of Twitter shares and the candidates’ share of votes. This indicates that statistics on tweets and other social media posts relating to candidates could be used as a predictor of the share of votes a congressional candidate may receive, and there for a predictor of potential election results. The research found similar results over two separate elections, and there for over two time periods, indicating that the findings indicating a positive relationship between tweets and votes were not an isolated event.

Social media plays a gigantic role in the population of the 21st century. People of all ages use apps or websites such as Twitter,

This author does not mean to lead the reader into thinking this is the only type of data mining that is happening every day, this is just one of the most widely recognized types. There are many types happening how it is happening, where it is happening, and how it is used depends on how the information in compiled and interpreted. The use of Twitter, Facebook, or who is reading what newspaper can lead to a great many compilations of data and what they mean. So the next time you hit that “buy” button on your favorite shopping website, or when you post a comment or play a game on Facebook, or even post a comment on Twitter, you should think to yourself “Who is watching, learning, or getting to know

The article review is for the research paper named Organizational Adoption of Social Media in the USA: A Mixed Method Approach, written by Ivan Alfaro, Siddhartha Bhattacharyya and Mary Beth Watson from the department of Information and Decision Sciences at the University of Illinois at Chicago. The literature reviews that the authors have referenced have mainly focused on how organizations are using social media technologies to interact with its customers and other stakeholders. The paper focuses on the in-depth and different functional areas business organizations use social media tools to take their competitive advantage a step further. The adoption of Information Technology techniques should bring IT value to the organizations. Organizations should adopt a new technology to support key activities in the firm’s value chain. Organizations need to maintain an adequate IT infrastructure. This includes supporting the current technological platform, as well as proactively searching for ways to embrace new IT innovations or exploit existing IT resources to create new business opportunities. The firm should develop a clear strategic vision for the role that the adopted technology will play on the organization. The research uses a Mixed Method Approach that combines data mining, context analysis techniques and text mining algorithms to examine the adoption of social media across multiple industries. The research paper is unique, as it not only focuses on how businesses

According to Wikipedia Social Media Mining is the process of representing, analyzing and extracting actionable patterns from social media data. The extensive use of Social media like Facebook, twitter, Google plus, Instagram, LinkedIn and Twitter have been generating massive amounts of social media and big user-generated data. The world’s social networks contains enormous customer details that helps in understanding human behavior and conduct research on social science. In order to successfully mine the social data, Social Network Analysis is the most important task. A number of visualization tools are available to analyze these social networks. Even, many corporations has their goal set to tap into social media data in order to develop their business. Through social media, it is easy to find a lot of information about a celebrity and her whereabouts but finding the real-time information like energy consumption is very difficult. Also, social media mining faces a dilemma to find out the useful information as it lacks data or have little or thin data about those we are interested in knowing more about. In this paper, we are going to discuss more on how social media is mined, how analysis is performed on social networks and ways to overcome hurdles with Social Media Mining.

Social media has brought differences with the communication form of the millennials compared with the previous generation. The previous generation used to talk to others face to face before the invention of social media. They didn't have lots of Internet "friends" compared to the Millennials, so they spent most of the time talking to their family members. My mother is a member of the previous generation. She told me that she and her friends who lived on the same street would meet once a week sharing stories and work experiences. My mother concluded her time was fun and gratifying. As Kate Gale expressed in "Life before email and social media", people

Opinion mining and sentiment analysis is discussed in chapter 7 of Amy Van Looy’s Social Media Management; Technologies and Strategies for Creating Business Value (pp.133-147) “Opinion mining and sentiment analysis can be defined as processing “a set of search results for a given item,

Social media’s have been around for quite some time now. The first social media ever known to be created was in 1997, named “SixDegrees.com”. Friendster was next, then Myspace, and so on. Social media’s were originally created to connect with friends and family, share thoughts, and photos. Now, teens, young adults, even grandparents are spending more time on social media’s then

Sentiment analysis or opinion mining is an emerging area of research, because, the impact of the web is increasing at a very fast rate, now most of the people would like to share their opinions, feelings and experiences on the web.. Now people commonly use blogs, forums, e-news, reviews channels and the social networking platforms such as