Insights

Insights Subteam

Team Leads: Linnea May (CS '21) and Max Chen (CS '21)
Advisor: Prof. Jeff Rzeszotarski

About Us

The Insights team is one of the three subteams in Cornell Data Science, a student led undergraduate project team at Cornell University. Our goal is to provide insight into complex systems through a combination of data science and visual interfaces. Our work is interdisciplinary and unique - our projects range from visualizing neural network training to applying natural language processing and deep learning towards detecting fake news.

Current Projects

Fake News

Analyzing and visualizing methods to identify fake news.

Members: Danny Yang, Linnea May, Eric Sun, Kathy JaYoung Byun

Spotify Recommendations

Creating a new, more intuititve interface for recommending songs on Spotify.

Members: Brandon Truong, James Chen, Max Chen, Shalin Mehta

Knowledge Graphs

Compiling and visualizing a knowledge graph of academic articles.

Members: Ziwei Gu, Jenny Chen, Kevin Ngo, Tushar Khan

Comment Toxicity

Identifying and visualizing the presence of toxic comments online.

Members: Deb Bhattacharya, Nikhil Saggi, Ruchika Dongre

Past Projects

Neural Network

Fall 2018

Building a tool to visualize the training progress of advanced neural networks architecture.

Members: Linnea May, Jenny Chen

Wikinsights

Fall 2018

Visualizing the hierarchial structure of knowledge using Wikipedia articles.

Members: Nikhil Saggi, Xinqi Lyu, Ziwei Gu, Eric Sun, Deb Bhattacharya, Ellen Chen

Social Tribes

Spring 2018

Analyzing the cluster of political journalists in Twitter through different unsupervised learning algorithms. Our final project is available here.
Members: Danny Yang, Max Chen, Shalin Mehta, Sam Kitterman, Kevin Ngo

CornellDataScience/Insights