NLP Topic Modeling on Hotel Reviews (Project 4)
+ Recommender on Hotel Reviews
This week I completed Project 4 on Topic Modeling for Hotel Reviews. I threw in a Hotel Recommender Algorithm to spice it up. I must have spend countless times writing and rewriting my code until my tired eyes are having double vision.
Importing libraries for this Notebook
Overview of the Entire Process
After reading the data, cleaning and taking 5000 samples, I did a simple Geographical Sort using Kmeans.
Using T-sne to plot the Topic Words found in the reviews
Using LDAvis to visualise the Topic Words
The results after applying NLP LDA model is a list of topic words which is up to us to interpret.
The above LDAvis interactive html page can be accessed here. For this project, I fitted as many features to showcase what I have learnt the Data Scientist BoopCamp. I gave it my all. It is accessible here.
Now, I can rest my tired eyes and get my sight back. Onward to the Final Push, Project №5. Hurrah!!!
