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Social Media Mining : Sentiment Analysis

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Social Media Mining: Sentiment Analysis Gloria Ngo Daniel Cano Hueros Andrew Gribben Cyril Jacob April 28, 2016 Table of Contents Table of Contents……………………………………………………………………………...1 Introduction…………………………………………………………………………………....2 Relating Social Media Mining to DSS Methodology…………………………………………2 Analysis………………………………………………………………………………………..3 Logical Design………………………………………………………………………………...4 Lessons Learned……………………………………………………………………………….8 References……………………………………………………………………………………10 Introduction Text and web mining has been around for a long time, and like any other technology, has evolved. Originally assigned only to text and web mining, Team One began focusing on older ways of text and web mining …show more content…

With hundreds of millions of people sending countless hours on social media to share, communicate, connect, interact, and create user-generated data at an unprecedented rate, social media has become one unique source of big data.” The focus of the research problem under Social Media mining will be the sentimental analysis/political trends because of the sheer amount of data available on social media sites with people posting about politics. Relating Social Media Mining to DSS Methodology Relating social media text and web mining to decision support systems could have a huge impact on how businesses make strategic plans, how social wellness programs conduct outreach exercises, or even how the news reports political predictions. Tapping into social media via web and text mining could unlock many doors with regards to the public masses and gauging their opinions, state of minds, or political standing. Social media has become a way of life for the millennial generation and has even caught on with generation X and the baby boomer generation making it ingrained in the daily lives of many Americans. Social media by nature is meant to be a way for people to express

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