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YouTube-Transcript-Data-Analysis

Read more about project

https://medium.com/@kakarvardaan/1339df454a47

Set up Account with YouTube API Client

https://developers.google.com/youtube/v3/quickstart/python

Requirements for data cleaning and analysis:

  • nltk
  • matplotlib
  • pandas
  • google_auth_oauthlib
  • googleapiclient
  • youtube_transcript_api
  • umap
  • hdbscan
  • plotly
  • scikit-learn
  • gensim
  • spacy

I have used multiple libraries where I could have used just a single one for learning purposes, feel free to play with the modules and explore.

Open up fetch_transcripts.ipynb and edit CSV_NAME and YOUTUBE_CHANNEL_ID to be the ID of the YouTube channel you want to download the captions for, then run the cells.

This will open up a popup asking you to authorise the app to fetch data. Accept the terms and give the permissions.

Once it runs, it should generate a .csv with a bunch of details for each video entry. If there is an existing .csv with the same name as CSV_NAME (I have provided 'mkbhd.csv' as a start), it will just fetch data from the .csv and not fetch fresh details.

Ideally, order of execution of files:

fetch_transcripts.ipynb

review.ipynb

plot.ipynb

grouping.ipynb