We wanted to find fake news and learn valuable skills that will be relevant throughout our lives.
What it does
The program takes in an article, and parses several keywords. It then runs a google search for those keywords, and parses the text from the top several results. Then, the articles are split into sentences, and sentiment analyses are performed on each sentence, with each sentence having a negative, neutral, and positive value. These values are then collapsed into 2 dimensions and plotted, allowing us to detect outliers.
How we built it
Challenges we ran into
Too many to name
Accomplishments that we're proud of
Built our first non-trivial program!
What we learned
Data scraping, PCA, Machine learning, sentiment analysis, html to text parsing
What's next for mailTrophyToRoncalli402
Getting it to predict fake news more accurately, run more efficiently, and parse more articles without being kicked out by google.