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Sentiment Analysis and Recommender Systems on NYT dataset

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


The project proposes to study the following dataset of The New York Times articles from Kaggle(updated daily):

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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