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Choi et al., 2022 - Google Patents

Does active learning reduce human coding?: A systematic comparison of neural network with nCoder

Choi et al., 2022

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Document ID
15100978680940597572
Author
Choi J
Ruis A
Cai Z
Eagan B
Shaffer D
Publication year
Publication venue
International Conference on Quantitative Ethnography

External Links

Snippet

In quantitative ethnography (QE) studies which often involve large datasets that cannot be entirely hand-coded by human raters, researchers have used supervised machine learning approaches to develop automated classifiers. However, QE researchers are rightly …
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Classifications

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    • G06F17/2765—Recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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