• Login
    View Item 
    •   Home
    • UA Graduate and Undergraduate Research
    • UA Theses and Dissertations
    • Dissertations
    • View Item
    •   Home
    • UA Graduate and Undergraduate Research
    • UA Theses and Dissertations
    • Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UA Campus RepositoryCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournal

    My Account

    LoginRegister

    About

    AboutUA Faculty PublicationsUA DissertationsUA Master's ThesesUA Honors ThesesUA PressUA YearbooksUA CatalogsUA Libraries

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Categorization, Analysis, and Visualization of Computer-Mediated Communication and Electronic Markets

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    azu_etd_2653_sip1_m.pdf
    Size:
    7.848Mb
    Format:
    PDF
    Description:
    azu_etd_2653_sip1_m.pdf
    Download
    Author
    Abbasi, Ahmed
    Issue Date
    2008
    Advisor
    Chen, Hsinchun
    Committee Chair
    Chen, Hsinchun
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    Computer mediated communication (CMC) and electronic markets have seen tremendous growth due to the fast propagation of the internet. In spite of the numerous benefits of electronic communication, it is not without its pitfalls. Two characteristics of computer mediated communication have proven to be particularly problematic: online anonymity and the enormity of data present in cyber communities.This dissertation follows the design science research paradigm in MIS, by addressing issues pertaining to the design and development of an important IT artifact capable of alleviating the two aforementioned CMC concerns. We present 8 essays related to the creation of CMC systems that can provide improved text analysis capabilities by incorporating a richer set of textual information types. Using Systemic Functional Linguistic Theory (SFLT) as a kernel theory, emphasis is placed on developing techniques for analyzing textual and ideational information. A rich set of features are used to represent textual (e.g., style, genres, social cues etc.) and ideational (topics, sentiments, affects, etc.) information. The research revolves around a core set of algorithms utilized for feature selection, categorization, analysis, and visualization of CMC text. The dissertation is arranged in three parts. The first two parts attempt to develop a set of features and techniques that can effectively represent textual and ideational information. In Chapters 2-5, we leverage information types related to the textual meta-function of SFLT for enhanced identity and institutional trust. Experiments are conducted on various CMC modes prevalent in organizational settings, including email, instant messaging, forums, program code, and websites. Chapters 6-8 consider two important information types associated with the ideational meta-function of SFLT: opinions and emotions. We assess the ability to gauge consumer sentiments and affects using machine learning techniques on various CMC modes, including product review and social discussion forums.The third part relates to the design, development, and evaluation of a visualization system that can analyze the presence of the aforementioned information types in text-based CMC archives (Chapter 9). We propose a design framework for CMC text analysis systems that is grounded in SFLT. The CyberGate system is developed as an instantiation of the design framework.
    Type
    text
    Electronic Dissertation
    Degree Name
    PhD
    Degree Level
    doctoral
    Degree Program
    Management Information Systems
    Graduate College
    Degree Grantor
    University of Arizona
    Collections
    Dissertations

    entitlement

     
    The University of Arizona Libraries | 1510 E. University Blvd. | Tucson, AZ 85721-0055
    Tel 520-621-6442 | repository@u.library.arizona.edu
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.