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Computer-assigned codes from verbal responses

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Robert T. O'ReaganAuthors Info & Claims

Communications of the ACM, Volume 15, Issue 6

Pages 455 - 459

https://doi.org/10.1145/361405.361419

Published: 01 June 1972 Publication History

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Abstract

It is often desirable to convert verbal responses to multidigit codes. This conversion is generally accomplished by clerk-coders. A study was conducted to test the feasibility of translating verbal descriptions to numerical codes in a computer program. Primary emphasis was placed on computerized construction of a reference file of verbal descriptions for use by the program. The results of the study clearly show that such procedures are feasible.

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Schierholz MSchonlau M(2020)Machine Learning for Occupation Coding—A Comparison StudyJournal of Survey Statistics and Methodology10.1093/jssam/smaa0239:5(1013-1034)Online publication date: 3-Nov-2020
https://doi.org/10.1093/jssam/smaa023
Gweon HSchonlau MKaczmirek LBlohm MSteiner S(2017)Three Methods for Occupation Coding Based on Statistical LearningJournal of Official Statistics10.1515/jos-2017-000633:1(101-122)Online publication date: 21-Feb-2017
https://doi.org/10.1515/jos-2017-0006
Campanelli PThomson KMoon NStaples T(2012)The Quality of Occupational Coding in the United KingdomSurvey Measurement and Process Quality10.1002/9781118490013.ch19(437-453)Online publication date: 29-Aug-2012
https://doi.org/10.1002/9781118490013.ch19
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Published In

Communications of the ACM Volume 15, Issue 6

June 1972

69 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/361405

Editor:
M. Stuart Lynn
Rice Univ., Houston, TX

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 1972

Published in CACM Volume 15, Issue 6

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Schierholz MSchonlau M(2020)Machine Learning for Occupation Coding—A Comparison StudyJournal of Survey Statistics and Methodology10.1093/jssam/smaa0239:5(1013-1034)Online publication date: 3-Nov-2020
https://doi.org/10.1093/jssam/smaa023
Gweon HSchonlau MKaczmirek LBlohm MSteiner S(2017)Three Methods for Occupation Coding Based on Statistical LearningJournal of Official Statistics10.1515/jos-2017-000633:1(101-122)Online publication date: 21-Feb-2017
https://doi.org/10.1515/jos-2017-0006
Campanelli PThomson KMoon NStaples T(2012)The Quality of Occupational Coding in the United KingdomSurvey Measurement and Process Quality10.1002/9781118490013.ch19(437-453)Online publication date: 29-Aug-2012
https://doi.org/10.1002/9781118490013.ch19
Conrad F(2012)Using Expert Systems to Model and Improve Survey Classification ProcessesSurvey Measurement and Process Quality10.1002/9781118490013.ch17(393-414)Online publication date: 29-Aug-2012
https://doi.org/10.1002/9781118490013.ch17
Creecy RMasand BSmith SWaltz D(1992)Trading MIPS and memory for knowledge engineeringCommunications of the ACM10.1145/135226.13522835:8(48-64)Online publication date: 1-Aug-1992
https://dl.acm.org/doi/10.1145/135226.135228

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Changes in verbal and nonverbal conversational behavior in long-term interaction

Identifying the intended addressee in mixed human-human and human-computer interaction from non-verbal features

Multimodal Collaboration in Expository Discourse: Verbal and Nonverbal Moves Alignment

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