Utilizing NLP/nltk to build a simple vegas hotel recommendation app using guest reviews' sentiments
####Folder structure:
- static
- contains .json, .csv, .css and .js files used to create the web app. * vegas.json json file of hotels' website and thumbnail urls
-
final.json
json file of all attributes used in building the recommender system. This includes the hotel category or topic (e.g. rooms, amenities, location, etc), sentiment score per topic, hotel id in tripadvisor, image url from tripadvisor, hotel name and average room rate. -
hotels.csv
csv version of some attributes in final.json -
jquery.nstSlider.css
css file for the slider element used in the app -
jquery.nstSlider.js
js file of slider element used in the app -
fletcher.css
css file for the app -
fletcher.js
js file containing functions used in the app - vegas.html
- Vegas hotel recommender app prototype
- vegas.py
- Flask server that runs vegas.html