Saptarshi Sengupta defense, Thur April 23, 2:00 pm CDT

[Ted Pedersen]

Hi all,

Saptarshi will be having his defense this Thursday on Zoom. Please
feel free to join us! 2:00 pm Duluth time (CDT).

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Saptarshi Sengupta
Thursday, April 23, 2:00 - 3:00 pm
https://umn.zoom.us/j/918154931

Hyperpartisan News Detection using Logistic Regression and
Convolutional Neural Network

This project developed a hyperpartisan news detector, which
participated in SemEval–2019 Task 4. Hyperpartisan news is highly
polarized and takes a very biased or one–sided view of a particular
story. We developed two variants of our system, the more successful
was a Logistic Regression classifier based on unigram features. This
was our official entry in the task, and it placed 23rd of 42
participating teams. Our second variant was a Convolutional Neural
Network that did not perform as well. The results of this project are
described in a published paper
(https://www.aclweb.org/anthology/S19-2162.pdf) and the code is
available via github
(https://github.com/saptarshi059/SemEval2k19-Task4-UMD).

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Ted Pedersen
http://www.d.umn.edu/~tpederse