This repository contains the files I used to lead a workshop about a Natural Language Processing model called "Topic Modelling" at the Marista University (Mexico City). The objective of this model is to find relevant topics out of a bunch of comments, opinions, etc.
Follow these steps to understand the model:

1. Get the data: The script Tripadvisor_webScraping.ipynb will allow you to download reviews about "Paseo de la Reforma" ( A place in Mexico), it may take considerable time since it iterates through 459 trip advisor pages, downloads about 1300 reviews and stores them in the file "reviews.csv".
2. If you want to skip the previous step and go ahead to the topic modeling model there's no problem because the repository already contains the "reviews.csv" file.
3. Topic Modeling: The file "Trip_Advisor_TopicModelling.ipynb" will guide you through the steps to perform the topic modeling on the data obtained in step 1.