Zobrazeno 1 - 10
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pro vyhledávání: '"Matthew J. Lavin"'
Autor:
Matthew J. Lavin
Publikováno v:
Journal of Open Humanities Data, Vol 10, Pp 26-26 (2024)
This paper examines different methods of predicting bibliographical details (e.g. author, title, and publisher) of books under review in a corpus of approximately 1,100 historical book reviews. The dataset is comprised of book reviews from ProQuest
Externí odkaz:
https://doaj.org/article/e49053ed46e74e30af6e01d30e47e149
Autor:
Matthew J. Lavin
Publikováno v:
The Programming Historian, Vol 11 (2022)
This lesson is the second in a two-part lesson focusing on regression analysis. It provides an overview of logistic regression, how to use Python (scikit-learn) to make a logistic regression model, and a discussion of interpreting the results of such
Externí odkaz:
https://doaj.org/article/33ef077701774683a5a8d2e31250ca84
Autor:
Matthew J. Lavin
Publikováno v:
The Programming Historian, Vol 11 (2022)
This lesson is the first of a two-part lesson focusing on an indispensable set of data analysis methods, logistic and linear regression. It provides an overview of linear regression and walks through running both algorithms in Python (using scikit-le
Externí odkaz:
https://doaj.org/article/ac71c75a7a9b4cf0a5305f603fd13ef9
Autor:
Matthew J. Lavin
Publikováno v:
The Programming Historian en Français, Vol 4 (2022)
Cette leçon présente une méthode de traitement automatique des langues et de recherche d’informations nommée Term Frequency - Inverse Document Frequency (tf-idf). Elle en expose les fondations et introduit à l’occasion des questions et des c
Externí odkaz:
https://doaj.org/article/741dcb3fb491480d9c73bed2f66983ad
Autor:
Matthew J. Lavin
Publikováno v:
Journal of Cultural Analytics, Vol 5, Iss 1 (2020)
This paper focuses on book reviews at the turn-of-the century United States in order to underline fundamental compatibilities between large-scale, computational methods and book historical approaches. It analyzes a dataset of approximately 2,800 book
Externí odkaz:
https://doaj.org/article/be4302e05f8d438b99a13a6ec6d92105
Autor:
Matthew J. Lavin
Publikováno v:
The Programming Historian, Vol 8 (2019)
This lesson focuses on a foundational natural language processing and information retrieval method called Term Frequency - Inverse Document Frequency (tf-idf). This lesson explores the foundations of tf-idf, and will also introduce you to some of the
Externí odkaz:
https://doaj.org/article/2654ee7e8f4447b8b88cd6ffc93ca23c
Publikováno v:
The Journal of Electronic Publishing. 22
The Digits team (Matt Burton, Matthew J. Lavin, Jessica Otis, and Scott B. Weingart) convened around the question of how we might share, preserve, and legitimize scholarship freed from the affordances of print. For the A.W. Mellon-funded Digits Plann
Autor:
Matthew J. Lavin
Publikováno v:
a/b: Auto/Biography Studies. 31:233-260
This essay examines Willa Cather's role ghostwriting S. S. McClure's My Autobiography (1914). That Cather was the ghostwriter is not in dispute, but critics have questioned the degree to which her authorship conforms to ghostwriting conventions, as w
Publikováno v:
Digital Scholarship in the Humanities. 32:123-140
The authorship of the 1924 short story ‘The Loved Dead’ has been contested by family members of Clifford Martin Eddy, Jr. and Sunand Tryambak Joshi, a leading scholar on Howard Phillips Lovecraft. The authors of this article use stylometric metho
Autor:
Matthew J. Lavin
Publikováno v:
Studies in the Novel. 45:500-518