Lightweight web article parser that extracts keywords via URL using word count, TF-IDF, TextRank, and produces word clouds and network graph visualizations.
Create a lightweight and simple web article parser that attempts to extract the most relevant keywords by providing it a URL.
Ideally we would provide some visualization for a better understanding of the importance of keywords in the article and their distribution.
The full notebook file will contain comments regarding our process, but we want to provide additional context and a visual breakdown. Where necessary, output will be provided as captions!