Predicting Box Office Success of Motion Pictures with Text Mining

Research output: Chapter in Book/Report/Conference proceedingChapter

Original languageEnglish
Title of host publicationPractical Text Mining and Statistical Analysis for Non-structured Text Data Applications
PublisherElsevier Inc.
Pages543-556
Number of pages14
ISBN (Print)9780123869791
DOIs
StatePublished - 1 Dec 2012
Externally publishedYes

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Text Mining
Motion

Cite this

Delen, D. (2012). Predicting Box Office Success of Motion Pictures with Text Mining. In Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications (pp. 543-556). Elsevier Inc.. https://doi.org/10.1016/B978-0-12-386979-1.00023-2
Delen, Dursun. / Predicting Box Office Success of Motion Pictures with Text Mining. Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications. Elsevier Inc., 2012. pp. 543-556
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Delen, D 2012, Predicting Box Office Success of Motion Pictures with Text Mining. in Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications. Elsevier Inc., pp. 543-556. https://doi.org/10.1016/B978-0-12-386979-1.00023-2

Predicting Box Office Success of Motion Pictures with Text Mining. / Delen, Dursun.

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications. Elsevier Inc., 2012. p. 543-556.

Research output: Chapter in Book/Report/Conference proceedingChapter

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Delen D. Predicting Box Office Success of Motion Pictures with Text Mining. In Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications. Elsevier Inc. 2012. p. 543-556 https://doi.org/10.1016/B978-0-12-386979-1.00023-2