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dc.contributor.authorRomano, Nicholas C.
dc.contributor.authorBauer, Christina
dc.contributor.authorChen, Hsinchun
dc.contributor.authorNunamaker, Jay F.
dc.date.accessioned2004-08-22T00:00:01Z
dc.date.available2010-06-18T23:26:28Z
dc.date.issued2000en_US
dc.date.submitted2004-08-22en_US
dc.identifier.citationThe MindMine Comment Analysis Tool for Collaborative Attitude Solicitation, Analysis, Sense-Making and Visualization 2000,en_US
dc.identifier.urihttp://hdl.handle.net/10150/105501
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractThis paper describes a study to explore the integration of Group Support Systems (GSS) and Artificial Intelligence (AI) technology to provide solicitation, analytical, visualization and sense-making support for attitudes from large distributed marketing focus groups. The paper describes two experiments and the concomitant evolutionary design and development of an attitude analysis process and the MindMine Comment Analysis Tool. The analysis process circumvents many of the problems associated with traditional data gathering via closed-ended questionnaires and potentially biased interviews by providing support for online free response evaluative comments. MindMine allows teams of raters to analyze comments from any source, including electronic meetings, discussion groups or surveys, whether they are Web-based or same-place. The analysis results are then displayed as visualizations that enable the team quickly to make sense of attitudes reflected in the comment set, which we believe provide richer information and a more detailed understanding of attitudes.
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherHICSSen_US
dc.subjectVirtual Communitiesen_US
dc.subjectArtificial Intelligenceen_US
dc.subject.otherNational Science Digital Libraryen_US
dc.subject.otherNSDLen_US
dc.subject.otherArtificial Intelligence laben_US
dc.subject.otherAI laben_US
dc.subject.otherMindMine comment analysis toolen_US
dc.titleThe MindMine Comment Analysis Tool for Collaborative Attitude Solicitation, Analysis, Sense-Making and Visualizationen_US
dc.typeConference Paperen_US
refterms.dateFOA2018-06-22T22:11:08Z
html.description.abstractThis paper describes a study to explore the integration of Group Support Systems (GSS) and Artificial Intelligence (AI) technology to provide solicitation, analytical, visualization and sense-making support for attitudes from large distributed marketing focus groups. The paper describes two experiments and the concomitant evolutionary design and development of an attitude analysis process and the MindMine Comment Analysis Tool. The analysis process circumvents many of the problems associated with traditional data gathering via closed-ended questionnaires and potentially biased interviews by providing support for online free response evaluative comments. MindMine allows teams of raters to analyze comments from any source, including electronic meetings, discussion groups or surveys, whether they are Web-based or same-place. The analysis results are then displayed as visualizations that enable the team quickly to make sense of attitudes reflected in the comment set, which we believe provide richer information and a more detailed understanding of attitudes.


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