An analysis of correlation between tags and keywords was used to decide which terms would be included in the model.

A correlation cutoff of .05 was used for inclusion in the model unless the authors strongly believed the keyword would be useful in the model despite low correlation (e.g., high quality, food poisoning, and employees, selected for relation to food quality, foodborne illness, and employee behavior). A liberal cut off point was used to include as many predictors as possible. Correlation is specific to pilot study training data which excluded all but Chinese restaurants.

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Identity

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Field Value
PID https://www.doi.org/10.1371/journal.pone.0152117.t002
URL http://dx.doi.org/10.1371/journal.pone.0152117.t002
URL https://figshare.com/articles/An_analysis_of_correlation_between_tags_and_keywords_was_used_to_decide_which_terms_would_be_included_in_the_model_/3152221
Access Modality

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Access Right Open Access
Attribution

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Author P. Schomberg, John
Author L. Haimson, Oliver
Author R. Hayes, Gillian
Author Anton-Culver, Hoda
Publishing

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Collected From figshare
Hosted By figshare
Publication Date 2016-01-01
Publisher Figshare
Additional Info
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Language UNKNOWN
Resource Type Dataset
system:type dataset
Management Info
Field Value
Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=r37980778c78::7378b0ea6f18c20fa0a3514f8611fdf9
Author jsonws_user
Last Updated 1 January 2021, 09:50 (CET)
Created 1 January 2021, 09:50 (CET)