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Flag This Row	Text Mining Contemporary Popular Fiction: Natural Language Processing-Derived Themes Across over 1,000 New York Times Bestsellers and Genre Fiction Novels. Lundy, Morgan Master's Thesis, University of South Carolina, 2020. 77 p. (MAI 82(1)(E).) Subjects: CHARACTERIZATION; GENRES; MYSTERY GENRE; POPULAR LITERATURE; ROMANCE GENRE; SCIENCE FICTION; SETTING; TEXT MINING OR DATA MINING; THEMES; YOUNG ADULT LITERATURE Options: Download this record ; E-mail this record
Flag This Row	Text mining of online book reviews for non-trivial clustering of books and users. Lin, Eric Master's Thesis, Purdue University, 2012. 65 p. (MAI 56(1M)(E).) Subjects: BOOK REVIEWS AND REVIEWING; FANTASTIC FICTION; FANTASY; GOODREADS (WEB SITE); SCIENCE FICTION; TEXT MINING OR DATA MINING Options: Download this record ; E-mail this record
Flag This Row	Viewers’ Experiences of Watching the Environmental Science-fiction Film Avatar the Way of Water: Text Mining Analysis of Human Nature Connection Talk. Heuvel, I.M. van den Master's Thesis, University of Twente (Netherlands), 2024. 74 p. https://purl.utwente.nl/essays/100822 (1.0 Mb) Subjects: AUDIENCES; AVATAR: THE WAY OF WATER (2022) (FILM); NATURE; TEXT MINING OR DATA MINING Options: Download this record ; E-mail this record

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Text Mining Contemporary Popular Fiction: Natural Language Processing-Derived Themes Across over 1,000 New York Times Bestsellers and Genre Fiction Novels.

Lundy, Morgan

Master's Thesis, University of South Carolina, 2020. 77 p. (MAI 82(1)(E).)

Subjects: CHARACTERIZATION; GENRES; MYSTERY GENRE; POPULAR LITERATURE; ROMANCE GENRE; SCIENCE FICTION; SETTING; TEXT MINING OR DATA MINING; THEMES; YOUNG ADULT LITERATURE

Options: Download this record ; E-mail this record

Text mining of online book reviews for non-trivial clustering of books and users.

Lin, Eric

Master's Thesis, Purdue University, 2012. 65 p. (MAI 56(1M)(E).)

Subjects: BOOK REVIEWS AND REVIEWING; FANTASTIC FICTION; FANTASY; GOODREADS (WEB SITE); SCIENCE FICTION; TEXT MINING OR DATA MINING

Options: Download this record ; E-mail this record

Viewers’ Experiences of Watching the Environmental Science-fiction Film Avatar the Way of Water: Text Mining Analysis of Human Nature Connection Talk.

Heuvel, I.M. van den

Master's Thesis, University of Twente (Netherlands), 2024. 74 p. https://purl.utwente.nl/essays/100822 (1.0 Mb)

Subjects: AUDIENCES; AVATAR: THE WAY OF WATER (2022) (FILM); NATURE; TEXT MINING OR DATA MINING

Options: Download this record ; E-mail this record

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