A web app created as an Insight Data Science Fellow that can provide a list of tools commonly used in ‘how-to’ home repair YouTube videos, even when they aren’t mentioned in the video or listed in the description.

1. Mark Rojas
Insight Data Science Fellow
Find The right tool to get the job done right!

2. Great Video, But What Tool Did They Use?
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3. Here is how it looks!
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http://toolupapp.online/

4. YouTube and Auto-Generated Captions
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Collection of 1,591 Common DIY / Home Repair Videos
● “How to build a deck” -- 296
● “How to install Laminate Flooring” -- 303
● “How to install Carpet Flooring” -- 275
● “Repair a Wood Fence” -- 308
● “How to repair a drywall hole” -- 409
Including: Comments for each Video
Classes

5. Algorithm to make ToolUp! Happen
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No Topics
Videos
Topic
Modeling
Latent Dirichlet
Allocation (LDA)
With Topics
Videos
Classify
Videos
TF-IDF with
Multinomial Naive Bayes
Videos
Classified
Model Selection
Negative Log Loss with 5-fold CV

6. Algorithm to make ToolUp! Happen
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No Topics
Videos
Topic
Modeling
Latent Dirichlet
Allocation (LDA)
With Topics
Videos
Classify
Videos
TF-IDF with
Multinomial Naive Bayes
Videos
Classified
Confusion Matrix for
Video Classification

7. Algorithm to make ToolUp! Happen
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Identify
Tools
Keyword & Phrase
Matching using SpaCy
Summarize
Comments
Gensim + SpaCY
NLTK
No Topics
Videos
Topic
Modeling
Latent Dirichlet
Allocation (LDA)
With Topics
Videos
Classify
Videos
TF-IDF with
Multinomial Naive Bayes
Videos
Classified

8. Summary
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Summaries average read time reduced by 87%
Custom list of tools used to complete repair

9. Thank You!
Any questions?
Mark Rojas, Ph.D.
In Computer Science
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