Open franyang6 opened 2 years ago
Based on your proposal, you will be understanding the clothes trend based on apparels sold by e-commerce sites. The datasets you have taken are the set of apparels sold by these companies. The question to ask is: 1) how can you claim that if an e-commerce is selling a type of clothing, that is a trend during that time? Is there any data to support that? 2) how are you sure that you can realize the sentiment for a particular category of clothing just by scrapping Twitter Data and not say Instagram where you might find more fashion trends? Is there any data to support that?
Just to add my two cents to this one: be careful when quantifying colors, especially if they're color words, since these are often difficult to categorize. If it were me, I'd want to automatically extract the color of a product from its image, using, e.g., color-thief.py. That way, you're not beholden to the categories or descriptors in the dataset.
@QMSS-G5063-2022/teaching_team SHA: 57350c4b6fa26b5936416f90d7fa2cac4f73a250