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Ideas
Kevin Yap edited this page Oct 15, 2018
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- Trying to predict the star review that a user gave based on the review text
- Trying to predict abnormal star reviews (ie. accidental 1-star reviews for very positive reviews)-
- Trying to detect when a business is about to close permanently
- Trying to measure hype or business performance based on reviews
- Trying to spot specific words/phrases associated with positive reviews to identify qualities preferred for a given location or restaurant type.
- Trying to normalize restaurant reviews based on quality, convenience (Miku vs Togo)
- Trying to split a given review (score & text) into scores for different attributes (would need detailed reviews).
- Trying to predict the performance of a restaurant based on its location and proximity around certain businesses (restaurant near a marijuana dispensary, lol) or even planned urban development
- Clustering users together based on the types of restaurants they like to go to (ie. review)
- Predicting whether or not a review is marked as 'useful' (or cool/funny).
- Find how much money a restaurant is making
- Identifying if an image is visually appealing or not
- Classification of images of food vs. restaurant vs. menu
- Trying to find similar dishes at nearby restaurants (ie. for price comparisons, bar hopping)