Python | NLP | LDA | Gensim Topic Modelling | PyLDAvis | Video 2/2
In this video, we will use Python,Gensim package and interpret the fitted LDA Model's topics using PyLDAvis.
We will use UFO Sightings dataset from Tidytuesday R Repository
Gensim:
https://radimrehurek.com/gensim/
NLTK (Natural Language Toolkit):
https://www.nltk.org/
PyLDAvis:
https://github.com/bmabey/pyLDAvis
Dataset:
https://github.com/rfordatascience/ti...
More datasets @Tidytuesday R
https://github.com/rfordatascience/ti...
Project Files:
https://drive.google.com/drive/folder...
TIMESTAMPS
00:00 Intro to the basic concepts of Topic Modeling
02:23 About the Python Package Gensim
03:18 Over view the step by step coding process using Jupyter Notebook
04:50 About Tidytuesday R, the data source repository
06:37 Copy the csv file link and then paste it into the pd.read_csv() function
07:00 Step by Step Coding in the Jupyter Notebook
13:00 About the python package pyLDAvis
13:56 Visualize the Topic Model and interpret the topics in the model
16:25 Recap and conclusion