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Full-Text Articles in Computer Sciences
Don't Take This Personally: Sentiment Analysis For Identification Of "Subtweeting" On Twitter, Noah L. Segal-Gould
Don't Take This Personally: Sentiment Analysis For Identification Of "Subtweeting" On Twitter, Noah L. Segal-Gould
Senior Projects Spring 2018
The purpose of this project is to identify subtweets. The Oxford English Dictionary defines "subtweet" as a "[Twitter post] that refers to a particular user without directly mentioning them, typically as a form of furtive mockery or criticism." This paper details a process for gathering a labeled ground truth dataset, training a classifier, and creating a Twitter bot which interacts with subtweets in real time. The Naive Bayes classifier trained in this project classifies tweets as subtweets and non-subtweets with an average F1 score of 72%.
A Study Of Neural Networks For The Quantum Many-Body Problem, Liam B. Schramm
A Study Of Neural Networks For The Quantum Many-Body Problem, Liam B. Schramm
Senior Projects Spring 2018
One of the fundamental problems in analytically approaching the quantum many-body problem is that the amount of information needed to describe a quantum state. As the number of particles in a system grows, the amount of information needed for a full description of the system increases exponentially. A great deal of work then has gone into finding efficient approximate representations of these systems. Among the most popular techniques are Tensor Networks and Quantum Monte Carlo methods. However, one new method with a number of promising theoretical guarantees is the Neural Quantum State. This method is an adaptation of the Restricted …