Persistent Link:
http://hdl.handle.net/10150/222894
Title:
Stakeholder and Sentiment Analysis in Web Forums
Author:
Zimbra, David
Issue Date:
2012
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:
Web forums offer open and interactive social communication platforms for numerous participants to share information and offer perspectives on a variety of business and social issues with audiences around the world. In addition to facilitating widespread communication, these web forums contain massive amounts of data and represent rich sources of information that can be utilized to advance the understanding of participants and society. In particular, web forums pertaining to firms and their customers, employees, and investors, represent valuable resources for the acquisition of business intelligence. However, web forums represent a complex analytic landscape requiring the development of automated, intelligent, and scalable analytic approaches. The dissertation follows the design science paradigm in management information systems research, and aims to develop and refine approaches to the analysis of web forums, and to apply these analytic approaches to firm-related web forums to derive information that may explain and predict firm stock behavior. The designs of the devised approaches to web forum analysis are informed by the stakeholder theory of the firm, and systemic functional linguistic theory. We introduce and advance a stakeholder approach to the analysis of firm-related web forums, and improve existing approaches to sentiment analysis in web forums. In Chapter 2 we develop and deploy a stakeholder framework to analyze a popular firm-related finance web forum and apply the extracted measures to explain firm stock return, volatility, and trading volume. In Chapter 3 we advance the stakeholder framework and perform dynamic analyses of web forums over time, and compare several feature representations of stakeholders and approaches to sentiment analysis. We deploy the stakeholder framework to analyze several firm-related web forums, and apply the derived measures to predict firm stock return and perform simulated trading of firm stock over a one year period to determine the economic value of the extracted information. Finally, in Chapter 4 we develop approaches to improve the scalability of sentiment analysis across multiple web forums in a collection. Overall the dissertation contributes to the literature on the analysis of web forums, and demonstrates the value of firm-related web forums as sources of business intelligence.
Type:
text; Electronic Dissertation
Keywords:
Management Information Systems
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Graduate College; Management Information Systems
Degree Grantor:
University of Arizona
Advisor:
Nunamaker, Jay F. Jr.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleStakeholder and Sentiment Analysis in Web Forumsen_US
dc.creatorZimbra, Daviden_US
dc.contributor.authorZimbra, Daviden_US
dc.date.issued2012-
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © 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.en_US
dc.description.abstractWeb forums offer open and interactive social communication platforms for numerous participants to share information and offer perspectives on a variety of business and social issues with audiences around the world. In addition to facilitating widespread communication, these web forums contain massive amounts of data and represent rich sources of information that can be utilized to advance the understanding of participants and society. In particular, web forums pertaining to firms and their customers, employees, and investors, represent valuable resources for the acquisition of business intelligence. However, web forums represent a complex analytic landscape requiring the development of automated, intelligent, and scalable analytic approaches. The dissertation follows the design science paradigm in management information systems research, and aims to develop and refine approaches to the analysis of web forums, and to apply these analytic approaches to firm-related web forums to derive information that may explain and predict firm stock behavior. The designs of the devised approaches to web forum analysis are informed by the stakeholder theory of the firm, and systemic functional linguistic theory. We introduce and advance a stakeholder approach to the analysis of firm-related web forums, and improve existing approaches to sentiment analysis in web forums. In Chapter 2 we develop and deploy a stakeholder framework to analyze a popular firm-related finance web forum and apply the extracted measures to explain firm stock return, volatility, and trading volume. In Chapter 3 we advance the stakeholder framework and perform dynamic analyses of web forums over time, and compare several feature representations of stakeholders and approaches to sentiment analysis. We deploy the stakeholder framework to analyze several firm-related web forums, and apply the derived measures to predict firm stock return and perform simulated trading of firm stock over a one year period to determine the economic value of the extracted information. Finally, in Chapter 4 we develop approaches to improve the scalability of sentiment analysis across multiple web forums in a collection. Overall the dissertation contributes to the literature on the analysis of web forums, and demonstrates the value of firm-related web forums as sources of business intelligence.en_US
dc.typetexten_US
dc.typeElectronic Dissertationen_US
dc.subjectManagement Information Systemsen_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineManagement Information Systemsen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorNunamaker, Jay F. Jr.en_US
dc.contributor.committeememberLusch, Roberten_US
dc.contributor.committeememberLin, Mingfengen_US
dc.contributor.committeememberNunamaker, Jay F. Jr.en_US
dc.contributor.committeememberChen, Hsinchunen_US
All Items in UA Campus Repository are protected by copyright, with all rights reserved, unless otherwise indicated.