IDS-703-Final-Project

This repository contains code files and reference for the final project in text analysis. The objective of this project was two fold:

Can we predict the popularity of a Ted Talk just using the content from a transcript?
Can we use a Neural Net to for a basic transcript for a Ted Talk?

The Kaggle notebook to run the model for the first question can be viewed from here.

Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
data		data
.Rhistory		.Rhistory
.gitignore		.gitignore
LICENSE		LICENSE
Label Clustering.ipynb		Label Clustering.ipynb
README.md		README.md
Tedtalk Text Analysis - Christy.ipynb		Tedtalk Text Analysis - Christy.ipynb
Tedtalks data project_ss1078.ipynb		Tedtalks data project_ss1078.ipynb
Text Analysis Final Presentation - Group6.pptx		Text Analysis Final Presentation - Group6.pptx
Tokenizing the transcripts - Aaron.ipynb		Tokenizing the transcripts - Aaron.ipynb
altamash_text_analysis.ipynb		altamash_text_analysis.ipynb
chris_stuff.Rmd		chris_stuff.Rmd
create_expanded.ipynb		create_expanded.ipynb
merge_original_files.Rmd		merge_original_files.Rmd
views_scraping.Rmd		views_scraping.Rmd
word2vec.model		word2vec.model

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