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[R] Νeed help changing my approach to my BSc thesis (Deep Learning, NLP, classification)

Hello,

I want to get involved with whichever task of classification (sentiment analysis, hate speech, etc.) regarding text data, by using deep learning for my bachelor thesis.

I am confused about what should be the aim of the dissertation. I mean, I am not capable to come with something ground breaking or fancy (eg. A new complicated architecture). Beyond building some architectures from papers and testing data on them, what can I do in order to make the thesis more interesting?

Something I have thought of, is to create a pipeline that will retrieve tweets from the Twitter API from different locations and then pass them to a trained model in order to perform some kind of classification and then create a visualization of the world map regarding the topic (eg. brexit-preferences of each country). However, this doesn’t make a lot of sense since that procedure could be done more naively by counting specific hashtags on a geographical location. Also, how the dataset could be created and labeled?

Can you help me reconstruct my idea or guide me to a better direction?

submitted by /u/the_parallax_II
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.