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Consumer Sentiment Analysis Using Twitter

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Rashid, Rumana
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Consumer Sentiment Analysis Using Twitter (1.060Mb)
Abstract
Sentiment analysis is the task of finding people’s opinions about specific objects/matters. Ordinary people’s opinions affect the decision-making process. Today, there is a massive explosion of “sentiments” available on social media, e.g. Twitter. Twitter is one of the most popular worldwide social-networking services. Twitter is a widely-used way to get people’s opinion about some topics when you read their posts. In this study, a model was coded in R environment and implemented and tested using a large dataset to estimate people’s opinions concerning specific topics that can be used for implementing better decision in market research. To achieve this goal, a large set of Twitter data along with a reference to a specific business was captured and fed to two models namely, Naïve Bayes and Support Vector Machine (SVM) to classify them. Then, I obtained the result at identifying percentage of positive and negative opinions towards the specific business.
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http://hdl.handle.net/10365/25984
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  • Computer Science Masters Papers

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Student Focused, Land Grant, Research Institution

  • Campus Map
    • Campus Map (pdf)
    • Building list
    • Campus Offices
  • Equity
  • Employment
  • Phone/Email Directory
  • Online Services
    • Blackboard
    • One Stop
    • Campus Connection
    • IT Help Desk
    • Libraries
    • Email
    • Student Success Collaborative
  • Registration And Records
    • Course Schedule
    • Dates and Deadlines
North Dakota State University - Libraries
Circulation: (701) 231-8888 | Reference: (701) 231-8886
Administration: (701) 231-8753
Main Library address: 1201 Albrecht Boulevard
Mailing address: Dept #2080 PO Box 6050, Fargo, ND 58108-6050
Site manager: Site manager
Contact Us |