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TEAM

Sentiment Analysis and Recommender Systems on NYT dataset

Ravi Tripathi, Touseef Haider, Ping Wan, Schinella D'Souza, Alessandro Malusà, Craig Franze

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The project proposes to study the following dataset of The New York Times articles from Kaggle(updated daily):
https://www.kaggle.com/datasets/aryansingh0909/nyt-articles-21m-2000-present/data?select=nyt-metadata.csv

We plan to do the following:
1) Draw insightful visuals to highlight popular trends
2) Do a sentiment analysis on the articles
3) Create a recommender system to tailor article recommendations based on users preferences

These are just a beginning set of ideas. With inputs from team members and others, we will modify our goals to improve the scope of the project.

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github URL
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