Search results | J. Murrey Atkins Library

Title: Automated Classification and Mitigation of Cybersecurity Vulnerabilities
Author: Aghaei, Ehsan
Date Created: 2022
Subjects--Topical: Computer science
Description: With the widespread use of computers and networks today, cybersecurity has emerged as a crucial concern for many businesses as they fight with growing cyber threats by vulnerability exploitation. To identify and mitigate zero-day or unpatched vuln...

Title: UNDERSTANDING SOCIAL MOVEMENTS THROUGH SIMULATIONS OF ANGER CONTAGION IN SOCIAL MEDIA
Author: Bacaksizlar, Nazmiye
Date Created: 2019
Subjects--Topical: Sociology, Information technology, System theory
Description: This dissertation investigates emotional contagion in social movements within social media platforms, such as Twitter. The main research question is: How does a protest behavior spread in social networks? The following sub-questions are: (a) What ...

Title: BIOMEDICAL QUESTION ANSWERING
Author: Bhandwaldar, Abhishek
Date Created: 2017
Subjects--Topical: Computer science
Description: A Biomedical Question Answering system allows biomedical experts to use unstructured knowledge in a more effective way. Our system can index vast majority of biomedical articles and can do information retrieval to find most relevant articles to an...

Title: Deep Natural Language Generation Using BERT for Summarization
Author: Choudhury, Sourav
Date Created: 2020
Subjects--Topical: Computer science, Artificial intelligence
Description: Summarization is one of the core facets of Natural Language Processing. Text summarization is the task of producing a concise and fluent summary while holding the most essential or salient part of the content and preserving the original meaning. T...

Title: Sentiment Analysis on Verbal Data from Team Discussions As an Indicator of Individual Performance
Author: Dehbozorgi, Nasrin
Date Created: 2020
Subjects--Topical: Computer science, Education
Description: The inherently complex nature of evaluating teamwork calls for methods to measure and predict students’ performance and provide timely feedback. Analyzing students’ individual performance, particularly in low-stake teams, is a challenge since the ...

Title: HIJaX - Human Intent To JavaScript XSS Generator
Author: Frempong, Yaw
Date Created: 2022
Subjects--Topical: Computer science
Description: Websites remain popular targets for Cross-Site Scripting (XSS) attacks. Although the prevalence of XSS attacks is on the rise, many developers do not have the cybersecurity expertise to secure their web applications against these attacks. Non-secu...

Title: Granular Emotion Detection for Multi-class Sentiment Analysis in Social Media
Author: Frye, Robert
Date Created: 2022
Subjects--Topical: Computer science
Description: Sentiment analysis for text classification generally refers to assessing the polarity of the emotional context of written text, whether in a binary (e.g. positive or negative) or trinary (e.g. positive, neutral, or negative) state. Granular emotio...

Title: Empirical Methods in an Open Domain Question Answering System
Author: Gallagher, Sean
Date Created: 2015
Subjects--Topical: Computer science
Description: Answering questions effectively involves a complex interconnected set of linguistic and statistical analysis tools, which can be difficult to investigate and evaluate on their own. To evaluate any one of them, I developed two composable, recursive...

Title: Building Computational Representations of Medical Guidelines Using Large Language Models and Transfer Learning
Author: Gopalakrishnan, Seethalakshmi
Date Created: 2023
Subjects--Topical: Computer science
Description: This dissertation explores the potential of natural language models, including large language models, to extract causal relations from medical texts, specifically from Clinical Practice Guidelines. The outcomes of causality extraction from Clinica...

Title: Knowledge extraction and analysis of medical text with particular emphasis on medical guidelines
Author: Hematialam, Hossein
Date Created: 2021
Subjects--Topical: Computer science
Description: In this dissertation document, we describe the potential for Information Extraction, Information Retrieval, and Machine Learning methods to improve the process of analyzing medical texts and, in particular, Clinical Practice Guidelines (CPGs).We p...

Title: Data-driven Analytics for Extracting and Inferring Threat Actions and Attack Patterns from the Unstructured Text of Cyber Threat Intelligence
Author: Husari, Ghaith
Date Created: 2019
Subjects--Topical: Computer science
Description: With the rapid increase of the cyber-attacks, threat information sharing has become essential to understand and defend against cyber-attack in a timely and cost-effective manner. Cyber Threat Information (CTI) and threat information reports remain...

Title: Understanding the plight of Covid-19 Long Haulers through Computational Analysis of YouTube Content
Author: Jordan, Alexis
Date Created: 2022
Subjects--Topical: Computer science
Description: The coronavirus pandemic is a pervasive event that has had a drastic impact on countries globally. In the United States alone there have been over 98 million Covid-19 cases and over 1 million deaths. One consequence of Covid-19 infection has been ...

Title: Computational Models of Novelty Based on Topic Modeling
Author: Mohseni, Maryam
Date Created: 2023
Subjects--Topical: Computer science
Description: Novelty modeling in unstructured text data has been one of the research concentrations within the Natural Language Processing (NLP) community over the past few years. Effective novelty models can play a key role in providing relevant and interesti...

Title: Examining Untempered Social Media: Information Mutation on GAB.ai
Author: Muppalla, Sai Eshwar Prasad
Date Created: 2018
Subjects--Topical: Computer science
Description: Online social media often mirrors the social phenomenon of "Chinese Whispers" where information mutates during dissemination.Many a time, Twitter and Facebook in conjunction with smaller "fringe" communities like Gab.ai, often echo perspectives to...

Title: Sequence Prediction Applied to BIM Log Data, An Approach to Develop a Command Recommender System for BIM Software Application
Author: Radnia, Ashkan
Date Created: 2021
Subjects--Topical: Computer science, Information technology, Architecture
Description: Building Information Modeling has become an industry standard for designing, documenting, and collaborating within the architecture, engineering, and construction industry. Architects spend most of their time developing projects from the feasibili...

Title: PREPARATION OF UNITED STATES’ STATE COURT CASES DATASET AND DERIVING AN EFFICIENT EMBEDDING FOR CASES
Author: Ravi, Karthik
Date Created: 2019
Subjects--Topical: Computer science, Political science
Description: Data mining techniques gained acceptance as a clear means of finding information in data. In the past, these techniques have been effectively applied to discover patterns, find correlations, extract information from unstructured data. Often overlo...

Title: Detecting Discrete Emotions in Text Using Neural Networks
Author: Seyeditabari, Seyed Armin
Date Created: 2020
Subjects--Topical: Computer science, Artificial intelligence
Description: In recent years, emotion detection in text has become increasingly popular because of its many potential applications in a range of areas, such as marketing, political science, psychology, human-computer interaction, artificial intelligence. Acces...

Title: DIRECTING VIRTUAL HUMANS USING PLAY-SCRIPTS AND SPATIO-TEMPORAL REASONING
Author: Talbot, Christine
Date Created: 2018
Subjects--Topical: Computer science, Artificial intelligence
Description: Historically, most virtual human character research focuses on realism/emotions, interaction with humans, and discourse. The majority of the spatial positioning of characters has focused on one-on-one conversations with humans or placing virtual c...

Title: Customer Loyalty Improvement Recommender System (CLIRS)
Author: Tarnowska, Katarzyna
Date Created: 2018
Subjects--Topical: Computer science
Description: This dissertation presents a novel data-driven approach to solve the problem of improving customer loyalty and customer retention. The data mining concepts of action rules and meta actions are used to extract actionable knowledge from customer sur...

Title: Nutritive Knowledge Based Discovery: Enhancing Precision Nutrition Hypothesis Generation
Author: Trautman, Aaron
Date Created: 2022
Subjects--Topical: Bioinformatics, Nutrition, Information science
Description: Diet-related diseases like obesity and type-2 diabetes are on the rise. Precision nutrition, a way to tailor dietary requirements for each individual, is heralded as a solution to these problems. However, nutritional research is held within sparse...