Inspiration
With misinformation being a growing subject through topics like COVID-19, we wanted to better understand the patterns between fake news articles and real articles.
What it does
We approached the dataset with Clustering and Sentiment Analysis. We include insights based on the different datasets, limitations, and future direction for the project.
How we built it
Jupyter Notebook
Challenges we ran into
The main issues include crashing platforms, lengthy processing times, and difficulty analyzing text data. You can view more about these issues in our Challenges and Limitations section for more insight :D
Accomplishments that we're proud of
This was our first hackathon, my first time using Python for myself, and the first time doing text analysis for my partner! :)
What we learned
We learned a lot about how to approach a hackathon, planning and time-managing, and allocating responsibilities, but also learning to have fun along the way.
What's next for Words Matter: An Analysis of Fake and Real News Articles
We hope to further expand our analysis and refine our processes and hopefully reaffirm the analysis we conducted.
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