Search results | J. Murrey Atkins Library

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: Towards an Understanding of the Impact of Uncertainty and Emotional Content on Users' Decision-making About Misinformation
Author: Karduni, Alireza
Date Created: 2020
Subjects--Topical: Computer science, Communication, Cognitive psychology
Description: Misinformation on social media is a phenomenon with considerable impacts on our societies. To effectively mitigate its effects, we need to employ a cross-disciplinary effort to holistically address the critical elements involved in the process, in...

Title: Towards Prediction of Emerging Technologies
Author: Thombare, Shalaka
Date Created: 2018
Subjects--Topical: Artificial intelligence
Description: Predictive Analytics is an advanced branch of data analytics that deals with making future predictions that matter to the industry\cite{6}.It has wide applications in the areas of health care, fraud detection, market analysis, cross-sell. Predicti...

Title: Towards Effective Third-Party Application Dialogs: Solutions for Improved Attention and Comprehension
Author: Javed, Yousra
Date Created: 2017
Subjects--Topical: Computer science
Description: Computer security dialogs communicate important information to users. One avenue where such dialogs are presented are third-party applications, which play an important role in enhancing a user's experience and are popular in online social networks...

Title: Topological Data Analysis in Text Processing
Author: Gholizadeh, Shafie
Date Created: 2020
Subjects--Topical: Computer science
Description: Topological Data Analysis denotes the set of algorithms and methods to define and retrieve the underlying structure of the shapes in the data. Utilizing topological inference in data mining and generally data science is recent, while computational...

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: 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: Personalized Summarization with Shared Attention and Concept Spaces
Author: Mehedint, Mihai
Date Created: 2019
Subjects--Topical: Computer science
Description: The information available to users is overwhelming in today’s world. Therefore, it is essential to filter and convey only the essential information in a personalized fashion. We explored the automatic summarization of text as a means to address th...

Title: MULTIMODAL VISUALIZATION USING AUGMENTED REALITY AND LARGE DISPLAYS
Author: Butler, Erik
Date Created: 2017
Subjects--Topical: Computer science
Description: We are living in an age where technology has allowed data collection to encompass every aspect of our day to day lives. With quintillions of bits of data being created daily, we are under constant pressure to advance our supercomputers and machine...

Title: Leveraging Visual Analytics for Modeling Online User Behavior on Social Media
Author: ElTayeby, Omar
Date Created: 2020
Subjects--Topical: Computer science
Description: Analysts and domain experts in various fields rely on collecting data about their subjects to understand and predict their behavior. Characterizing and modeling human behavior requires analyzing extensive amounts of data from heterogeneous sources...

Title: Investigating the causal link between the stock market and Twitter sentiments using causality models and deep learning methods
Author: Seyeditabari, Narjessadat
Date Created: 2018
Subjects--Topical: Computer science, Artificial intelligence
Description: An investment theory called the efficient market hypothesis (EMH) claims that it is impossible to outperform the market, and therefore, stocks always trade at a fair value. An important assumption of EMH is that all investors make decisions ration...

Title: Interactive Document Retrieval
Author: Borse, Chetan
Date Created: 2017
Subjects--Topical: Computer science
Description: Traditional Information Retrieval systems present with vast, relevant information as a response to the user search query, which usually consists of different semantic groups. It is a tedious task to look through all the retrieved information, and ...

Title: In Celebration of Being Human
Author: Radnia, Noushin
Date Created: 2018
Subjects--Topical: Information technology, Architecture, Design
Description: Over time, the relationship between human and technology has been evolving. As a result of this evolution, as Donna Haraway explains in her basic thesis, it is no longer possible to tell where we end and machines begin. On the other hand, this enh...

Title: Developing a Recommender System for Pricing Contemporary Fine Art
Author: Powell, Laurel
Date Created: 2020
Subjects--Topical: Computer science
Description: The art market is a large and growing part of the global economy. However, uncertainty about prices, which can be problematic for many shareholders, can inhibit the growth of this market. This work discusses methods for the development of a knowle...

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: Deep Learning for Sentiment and Emotion Detection in Multilingual Contexts
Author: Abdullah, Malak
Date Created: 2018
Subjects--Topical: Computer science
Description: Social media is growing as a communication medium where people can express online their feelings and opinions on a variety of topics in ways they rarely do in person. Detecting sentiments and emotions in texts have gained a considerable amount of ...

Title: Combined Word and Network Embeddings: An Analysis Framework of User Opinions on Social Media
Author: Singh, Tannu
Date Created: 2020
Subjects--Topical: Computer science
Description: Online social media like Twitter, Facebook, and Gab is often used as the stage to deliver one's opinion for a particular group of people, a political party, etc. Sometimes, the opinions shared are considered as controversial by some audience, appl...

Title: Cognitive biases in decision-making under uncertainty with interactive data visualizations
Author: Wesslen, Ryan
Date Created: 2021
Subjects--Topical: Computer science, Cognitive psychology, Information science
Description: In this thesis, we hypothesize that data visualization users are subject to systematic errors, or cognitive biases, in decision-making under uncertainty. Based on research from psychology, behavioral economics, and cognitive science, we design fiv...

Title: Citation Recommendation on Graph
Author: Jia, Haofeng
Date Created: 2018
Subjects--Topical: Computer science, Artificial intelligence
Description: As science advances, the academic community has published millions of research papers. Researchers devote time and effort to search relevant manuscripts when writing a paper or simply to keep up with current research. In this dissertation, we cons...

Title: Behavioral Health Stigma: Breaking the code with Stigma Index
Author: Tokmic, Farah
Date Created: 2018
Subjects--Topical: Medical sciences, Information science
Description: Social labeling of people with behavioral health disorders falls under the umbrella of "stigma" and plays a key role in limiting the access to behavioral healthcare. Currently, the U.S. spends an estimated $201B on behavioral health disorders ever...