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Eykens et al., 2021 - Google Patents

Fine-grained classification of social science journal articles using textual data: A comparison of supervised machine learning approaches

Eykens et al., 2021

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Document ID
7702594807051967707
Author
Eykens J
Guns R
Engels T
Publication year
Publication venue
Quantitative Science Studies

External Links

Snippet

We compare two supervised machine learning algorithms—Multinomial Naïve Bayes and Gradient Boosting—to classify social science articles using textual data. The high level of granularity of the classification scheme used and the possibility that multiple categories are …
Continue reading at direct.mit.edu (PDF) (other versions)

Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/30675—Query execution
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