UNT Graduate Student Works - 8 Matching Results

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open access

Crisis and Culture

Description: The research seeks to know if the COVID-19 pandemic has created culture change by measuring the criteria of work outputs and actions of organization members. As a part of this research, a survey was developed to identify how and to what extent workplace culture has been impacted. 111 professional services staff from a North Texas business were surveyed. We identified three factors for criteria of work outputs and behavior that indicates the current level of change of the culture. The three fact… more
Date: December 2020
Creator: Beaver, Zachery R.
Item Type: Refine your search to only Paper
Partner: UNT College of Information

Data Rescue Denton

Description: Presented at the 2017 International Conference on Knowledge Management during the panel session on Big Data, Ethics and Public Engagement. This presentation discusses the Data Rescue Denton 2017 event.
Date: October 26, 2017
Creator: Caldwell, Deborah
Item Type: Refine your search to only Presentation
Partner: UNT Libraries
open access

An Interactive Web-Based Dashboard to Examine Trending Topics: Application to Financial Journals

Description: Understanding trends is helpful to identify future behaviors in the field, and the roles of people, places, and institutions in setting those trends. Although traditional clustering strategies can group articles into topics, these techniques do not focus on topics over limited timescales; additionally, even when articles are grouped, the generated results are extensive and difficult to navigate. To address these concerns, we create an interactive dashboard that helps an expert in the field to b… more
Date: June 2022
Creator: Phan, Ngoc; Madali, Nayana Pampapura; Behpour, Sahar & Xiao, Ting
Item Type: Refine your search to only Text
Partner: UNT College of Information

Knowledge Discovery Through Text Mining in the United States Data Science

Description: Presented at the 2017 International Conference on Knowledge Management. This presentation examines uses knowledge discovery and text mining to identify patterns and trends in the data science discipline by examining core course titles of the Data Science curriculum offered in the United States.
Date: October 25, 2017
Creator: Khan, Hammad
Item Type: Refine your search to only Presentation
Partner: UNT Libraries
open access

Research Teams: Fostering Scholarship and Practice

Description: This workshop is presented by members of a University of North Texas research team. First, the team will overview their experience as members of the research team and share experience in areas such as trust formation, team roles, productivity, work-life balance, faculty-students interaction, peer and faculty mentorship, dissertation preparation, and job seeking. Second, the workshop will discuss and brainstorm how this format can be implemented for organizations both with faculty-student teams … more
Date: June 2022
Creator: Allen, Jeff M., 1968-; Khader, Malak; Njeri, Millicent & Rosellini, Amy
Item Type: Refine your search to only Text
Partner: UNT College of Information
open access

Social Media and People Perception of Global Warming During Critical Environmental Events: the Impact of Misinformation through the Lens of Social Noise

Description: Global warming is the term used to describe critical environmental issues and concerns. Social media such as Twitter provides a platform for people to share information, exchange ideas, and express their opinions about current and timely issues. This study utilized contextual analysis to analyze data collected from Twitter for the hashtag "global warming" during the period 2010 & 2011. Using sentiment analysis and topic modeling, the study aimed first at assessing people's perception towards gl… more
Date: June 2022
Creator: Madali, Nayana Pampapura; Alsaid, Manar & Hawamdeh, Suliman M.
Item Type: Refine your search to only Text
Partner: UNT College of Information
open access

Stock2Vec: An Embedding to Improve Predictive Models for Companies

Description: Building predictive models for companies often relies on inference using historical data of companies in the same industry sector. However, companies are similar across a variety of dimensions that should be leveraged in relevant prediction problems. This is particularly true for large, complex organizations which may not be well defined by a single industry and have no clear peers. To enable prediction using company information across a variety of dimensions, we create an embedding of company … more
Date: June 2022
Creator: Yi, Ziruo; Xiao, Ting; Kaz-Onyeakazi, Ijeoma; Ratnam, Cheran; Medeiros, Theophilus; Nelson, Phillip et al.
Item Type: Refine your search to only Text
Partner: UNT College of Information
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