I want a project that does aspect based sentiment analysis on textual data regarding cars... it should use Principal Component Analysis and any word embedding. It should be able to find chief aspects from reviews, find their polarity, then categorize them according to 6 classes: Cost, Comfort, Design, Safety, Performance and Technology. Then, it should be able to find aspect category polarity detection. Finally, it should be able to input any review and output polarity of each aspect in the review.
Dataset should be combination of "Edmunds-Consumer Car Ratings and Reviews" for 10 popular cars..
URL for these datasets and ABSA code is [login to view URL] .
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i am an expert statistician and data analyst done many analysis task also completed thesis work i am perfect for your job share more details of the project i will do it as you demand.
-previous experiencein such topics; -eager to discuss a lot in this chat stream; -degree stats / maths;