Skip to content
1. Select 6-8 products/brands that directly compete with each other. Download 300-500 tweets related to each product/brand. Clean the data. Build a dendrogram showing the lexical similarity among the brands. Identify the top 10 words associated with each brand (after cleaning the data). 15 pts. 2. Select 2 hotels that are located closely geograp…
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
.gitignore
Assignment 6-2.ipynb
LICENSE
README.md

README.md

Assignment-6

Select 2 hotels that are located closely geographically and have at least 300 varied reviews/ratings on TripAdvisor. Build naïve Bayes and decision tree models using the data for the first hotel to predict the hotel rating. Calculate precision, recall and the F1 score for each model and identify the better performing model. 15 pts. 3. Evaluate the knowledge transferability of the better performing model using the data for the second hotel. 10 pts. Submit the python notebooks (.ipynb) file and a PDF showing the answers.

You can’t perform that action at this time.