From User Reviews to Theory Building: An Inductive Approach to Construct Identification Using Text Mining

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Description

Presented at the 2017 International Conference on Knowledge Management. This poster demonstrates the utility of text analytic for theory building and validation in information science.

Physical Description

1 poster : ill. ; 20 x 27 cm.

Creation Information

Nguyen, Quynh N. & Sidorova, Anna October 25, 2017.

Context

This poster is part of the collection entitled: International Conference on Knowledge Management (ICKM), 2017 and one other and was provided by UNT Libraries to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 96 times , with 10 in the last month . More information about this poster can be viewed below.

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Description

Presented at the 2017 International Conference on Knowledge Management. This poster demonstrates the utility of text analytic for theory building and validation in information science.

Physical Description

1 poster : ill. ; 20 x 27 cm.

Source

  • 13th International Conference on Knowledge Management, October 25-26, 2017. Dallas, Texas.

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  • "From users Reviews to Theory Building: An Inductive Approach to Construct Identification Using Text Mining," ark:/67531/metadc1036586

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International Conference on Knowledge Management (ICKM), 2017

The 13th International Conference on Knowledge Management (ICKM) met October 25-26 in Dallas, Texas. Serving as digital proceedings, this collection includes papers, posters, and slides from invited talks as well as practitioner and sponsor presentations.

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From user reviews to theory building: an inductive approach to construct identification using text mining (Paper)

From user reviews to theory building: an inductive approach to construct identification using text mining

Poster paper for the 2017 International Conference on Knowledge Management. This paper demonstrates the utility of text analytic for theory building and validation in information science.

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"From users Reviews to Theory Building: An Inductive Approach to Construct Identification Using Text Mining," ark:/67531/metadc1036586

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Creation Date

  • October 25, 2017

Added to The UNT Digital Library

  • Nov. 15, 2017, 11:13 a.m.

Description Last Updated

  • Nov. 15, 2017, 4:50 p.m.

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Past 30 days: 10
Total Uses: 96

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Nguyen, Quynh N. & Sidorova, Anna. From User Reviews to Theory Building: An Inductive Approach to Construct Identification Using Text Mining, poster, October 25, 2017; (digital.library.unt.edu/ark:/67531/metadc1040518/: accessed November 18, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .