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Now showing items 1-10 of 12
An AI Robot-Analyst System for Investment Analysis
(2022-12-20)
Financial analysts have long been performing stock price forecasts. These
analysts, being human, are limited by heuristics and biases which impact their forecast
accuracy. Recent advances in machine learning research ...
Issue2vec: Legal Issue Embeddings Using Citegrams
(2022-01-20)
Most case law decisions are divided into discrete sections that address specific legal issues. But even though those sections are generally independent from one another, unrefined machine learning and natural language ...
Developing A Board Power Algorithm and Stock Performance Correlation
(2022-11-22)
This Master’s Thesis analyzes the relationships among public company board members, inspecting how these relationships correlate with longer-term stock price performance. The Thesis inspects the depth and breadth of these ...
IndoLib: A Natural Language Processing Toolkit for Low-Resource South Asian Languages
(2022-10-11)
Out of 7,151 living languages, 665 languages (9.299%) are spoken by nearly 2 billion people across Southern Asia. Of these, 37.74% (251 languages) are endangered, while the vast majority remain underrepresented in language ...
Simple Score Follower: A Contextual Switching Approach to Polyphonic Score Following on the Web using Deep-Learning Pitch Detection
(2022-01-20)
In this thesis we propose a contextual switching approach that combines modern deep-learning-based pitch detection technology with chroma-based chord recognition methods for the purpose of real-time, polyphonic score ...
Natural Language Processing for Health System Messages: Deep Transfer Learning Approach to Aspect-Based Sentiment Analysis of COVID-19 Content
(2022-02-07)
Recent efforts in clinical natural language processing research have focused on mining social media data and other user-generated data relevant to COVID-19. An increasing number of machine learning tools have been developed ...
Sports Analytics with Natural Language Processing: Using Crowd Sentiment to Help Pick Winners in Fantasy Football
(2022-05-12)
We develop a method for maximizing potential in the sports analytics picking winners problem. We do so by: i) leveraging BERT-based, large-scale sentiment anal- ysis of tweets about players. ii) statistical modeling ...
Extending the Tillinghast Reflector Echelle Spectrograph (TRES) Pipeline and Analysis Tools
(2022-05-12)
This thesis further develops a suite of tools designed for calculating stellar parameters and measuring radial velocities using spectra obtained with the Tillinghast Reflector Echelle Spectrograph (TRES). The standard ...
Image Classification with Evolved Convolutional Neural Networks
(2022-02-07)
Convolutional neural networks (CNNs) are a well-established technique for
image classification problems. While the topology of a CNN strongly affects the
performance of that CNN, designing a CNN’s topology remains a difficult ...
Hebrew Transformed: Machine Translation of Hebrew Using the Transformer Architecture
(2022-02-07)
This thesis presents the first known end-to-end application to Hebrew language of Google’s state-of-the-art Transformer architecture for natural language processing (NLP). The state of the art in machine translation (MT) ...