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Found 7 items


(Hardback)

By: James W. Cortada

ISBN: 9780313268106
Readership/Audience: Tertiary Education
Publication Date: May 1990
Publisher: Bloomsbury Publishing PLC
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(Hardback)

By: James W. Cortada

ISBN: 9780313240010
Readership/Audience: Tertiary Education
Publication Date: Jun 1983
Publisher: Bloomsbury Publishing PLC
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Product information not available.


(Hardback)

By: Mark D. West

ISBN: 9781567505047
Readership/Audience: Tertiary Education
Publication Date: May 2001
Publisher: Bloomsbury Publishing PLC
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Ten essays describe the development and current state of computer content analysis, with an emphasis on providing directions for future research and innovation. Written for graduate students and practitioners in the field, the book discusses applied text theory, intersubjective semantic meanings, th


(Paperback)

By: Mark D. West

ISBN: 9781567505054
Readership/Audience: Tertiary Education
Publication Date: May 2001
Publisher: Bloomsbury Publishing PLC
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This volume contains numerous articles illustrating the state of the art of computer content analysis. Research is presented by scholars in many different fields with the aim of providing exemplars for further research on the computer analysis and understanding of textual materials.


(Hardback)

By: James W. Cortada

ISBN: 9780313259234
Readership/Audience: Tertiary Education
Publication Date: Apr 1990
Publisher: Bloomsbury Publishing PLC
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Those interested in the history of technology, the business history of the industry, and the history of major institutions will want to consult it.


(Paperback)

By: Wendy Hui Kyong Chun

ISBN: 9780262548526
Readership/Audience: General
Publication Date: Apr 2024
UK Publication Date: 28th February 2024
Publisher: MIT Press Ltd
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"Chun investigates the centrality of race, gender, class, and sexuality to "Big Data" and network analytics"--


(Hardback)

By: Bin Yu

ISBN: 9780262049191
Readership/Audience: General
Publication Date: Nov 2024
Publisher: MIT Press Ltd
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"Veridical Data Science gives a complete and comprehensive overview of the world of data science using a problem/solution-oriented prospective"--