| Item type |
会議発表論文 / Conference Paper(1) |
| 公開日 |
2018-12-06 |
| タイトル |
|
|
タイトル |
An automatic coding system with a three-grade confidence level corresponding to the national/international occupation and industry standard: Open to the public on the web |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
言語 |
ja |
|
主題Scheme |
Other |
|
主題 |
コーディング自動化システム |
| キーワード |
|
|
言語 |
ja |
|
主題Scheme |
Other |
|
主題 |
自由回答 |
| キーワード |
|
|
言語 |
ja |
|
主題Scheme |
Other |
|
主題 |
自然言語処理 |
| キーワード |
|
|
言語 |
ja |
|
主題Scheme |
Other |
|
主題 |
機械学習 |
| キーワード |
|
|
言語 |
ja |
|
主題Scheme |
Other |
|
主題 |
確信度レベル |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Automatic coding system |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Answers to open-ended question |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Natural language processing |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Machine learning |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Confidence level |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
|
資源タイプ |
conference paper |
| 著者 |
Takahashi, Kazuko
Taki, Hirofumi
Tanabe, Shunsuke
Li, Wei
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
We develop a new automatic coding system with a three-grade confidence level corresponding to each of the national/international standard code sets for answers to open-ended questions regarding to respondent’s occupation and industry in social surveys including a national census. The “occupation and industry coding” is a necessary task for statistical processing. However, this task requires a great deal of labor and time-consuming. In addition, inconsistent results occur if the coders are not experts of coding. In formal research, various automatic coding systems have been developed, which are incomplete and generally unfriendly to a non-developer user. Our new system assigns three candidate codes to an answer for coders by SVMs (Support Vector Machines), and attaches a three-grade confidence level to the first-ranked predicted code by using classification scores to support a manual check of the results. The system is now open to the public through the Website of the Social Science Japan Data Archive (SSJDA). After the submitted data file which followed the specified format is approved, the users can obtain files of codes for up to four kinds with a three-grade confidence level. In this paper, we describe our system and evaluate it. |
| 書誌情報 |
en : KEOD 2014 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development
p. 369-375,
発行日 2014
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| 出版者 |
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|
出版者 |
SCITEPRESS |
| ISBN |
|
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|
識別子タイプ |
ISBN |
|
|
関連識別子 |
9789897580499 |
| 著者版フラグ |
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|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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