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ZENODO
Dataset . 2021
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
Data sources: Datacite
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Features for the classification of Spanish American 19th century novels by subgenre (part of data-nh)

Authors: , Henny-Krahmer;

Features for the classification of Spanish American 19th century novels by subgenre (part of data-nh)

Abstract

This dataset contains feature sets that were prepared for the classification of Spanish American 19th century novels by subgenre. There are two main types of features sets: MFW-based features, and topic features. The MFW-based features include basic MFW, word n-grams, and character n-grams with different numbers of MFW and tf, tf-idf, or z-score normalization. The topic features are derived from topic models created with different parameters (number of topics, optimization intervals). These feature sets were used in a classification analysis as a part of the dissertation "Genre Analysis and Corpus Design: 19th Century Spanish American Novels (1830-1910)" by Ulrike Henny-Krahmer. The dataset is part of "data-nh" (see https://github.com/cligs/data-nh), which is the whole collection of research data accompanying the above-mentioned dissertation.

Keywords

Spanish, novels, genre, 19th century, features, classification, mfw, topics

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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