SCS Undergraduate Thesis Topics

2014-2015
Student Advisor Thesis Topic
Sabih Bin Wasi Oflazer/Rose/Cheek SIRTAS: State-of-the-art, Interactive, Real-time Twitter Sentiment Analysis System

Twitter has been the centre of social media analysis in recent years, especially when it comes to brand performance. However, the task of understanding public sentimentsb about a brand using their online engagement has been challenging and still unsolved. Through this research, I plan to continue my ongoing work in developing a system that can learn the sentiments of a tweet using Machine Learning. Further, this research would involve creating a Visualization Layer on top of our system that can enable nontechnical brand analysts to analyze processed tweets across the dimensions of time, location and consumer profile.


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