Python | SpaCy | NLP | Scattertext to visualize characteristic words based on category | Video 1/2
In this video, we will use Python,Scattertext package and visualize what words and phrases are more characteristic of a category than others.
We will use UFO Sightings dataset from TIdytuesday R Repository
scattertext:
https://github.com/JasonKessler/scatt...
spaCy
https://spacy.io/usage
NLTK (Natural Language Toolkit
https://www.nltk.org/
Dataset
https://github.com/rfordatascience/ti...
Project Files:
https://drive.google.com/drive/folder...
More datasets @Tidytuesday R
https://github.com/rfordatascience/ti...
TIMESTAMPS
00:00 About the Python Package 'Scattertext'
01:53 About the Python Package 'SpaCy'
03:48 Run the first few code cell in the Jupyter Notebook
04:12 About the datsource: Tidytuesday R
07:08 Copy the url and then paste it into the pd.read_csv()
07:25 Using Jupyter Notebook,step by step coding
18:00 View the created html file and understand the components of this scattertext visual
21:25 Recap and conclusion
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