SCS Undergraduate Thesis Topics
|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.