AdaDC / Text-Analysis-with-R

This project was for a local non-profit. It downloads and summarizes a large .pdf document, and uses an unsupervised algorithm to quickly generate data visualizations.

Text-Analysis-with-R

The auto_summarize program downloads a large .pdf document (College Park 2017 Community Survey Report of Results), scrapes the text, and generates a summary for each section of the document. Summary.rmd creates a word document with the results of this program.

Next, visualize_suggestions uses a heirarchical cluster analysis to quickly summarize the resident's suggestions. These suggestions are visualized with several different tree diagrams.