Using text classification to improve annotation quality by improving annotator consistency-Reference-Cited by-同舟云学术

Using text classification to improve annotation quality by improving annotator consistency

Published:2020-10 Issue:1 Volume:57 Page:
ISSN:2373-9231
Container-title:Proceedings of the Association for Information Science and Technology
language:en
Short-container-title:Proc Assoc Inf Sci Technol

Author:

Ishita Emi¹,Fukuda Satoshi¹,Tomiura Yoichi¹,Oard Douglas W.²

Affiliation:

1. Kyushu University Fukuoka Japan

2. University of Maryland College Park Maryland USA

Publisher

Wiley

Subject

Library and Information Sciences,General Computer Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pra2.301

Reference7 articles.

1. A Coefficient of Agreement for Nominal Scales

2. Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts

3. Ishita E. Fukuda S. Oga T. Oard D.W. Fleischmann K.R. Tomiura Y. &Cheng A‐S.(2019). Toward three‐stage automation of annotation for human values.Proceedings of 14th iConference 2019 pp. 188–199.

4. JUMAN. (n.d.). JUMAN a user‐extensible morphological analyzer for Japanese.http://nlp.ist.i.kyoto-u.ac.jp/EN/index.php?JUMAN. (last accessed June 14 2020).

5. Computational grounded theory: A methodological framework;Nelson L. K.;Sociological Methods & Research,2017

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