An inductive rule learning technique for next mining in questionnaires
This paper describes an inductive rule learning (IRL) technique for classifying questionnaires based on the natural language responses to the open-ended questions frequently found in questionnaire data.These responses are deemed to provide important information to the purpose of the questionnaire.G...
| Main Authors: | , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/12032/1/PID23.pdf |
| _version_ | 1825802935524655104 |
|---|---|
| author | Chua, Stephanie Coenen, Frans |
| author_facet | Chua, Stephanie Coenen, Frans |
| author_sort | Chua, Stephanie |
| collection | UUM |
| description | This paper describes an inductive rule learning (IRL) technique for classifying questionnaires based on the natural language
responses to the open-ended questions frequently found in questionnaire data.These responses are deemed to provide important information to the purpose of the questionnaire.Given that the responses are in the form of unstructured natural language text and that a collection of questionnaires can comprise thousands of returns, an automated approach for handling such text is desirable for analysis purposes.One common analysis task is the classification of questionnaires.For this purpose, an IRL technique is presented.An empirical comparison is also conducted to compare the
presented technique with other established machine learning techniques.This IRL technique has been shown to be effective and efficient when applied to the classification of a collection of veterinary questionnaires. |
| first_indexed | 2024-07-04T05:48:45Z |
| format | Conference or Workshop Item |
| id | uum-12032 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:48:45Z |
| publishDate | 2013 |
| record_format | eprints |
| spelling | uum-120322014-08-25T07:02:14Z https://repo.uum.edu.my/id/eprint/12032/ An inductive rule learning technique for next mining in questionnaires Chua, Stephanie Coenen, Frans QA76 Computer software This paper describes an inductive rule learning (IRL) technique for classifying questionnaires based on the natural language responses to the open-ended questions frequently found in questionnaire data.These responses are deemed to provide important information to the purpose of the questionnaire.Given that the responses are in the form of unstructured natural language text and that a collection of questionnaires can comprise thousands of returns, an automated approach for handling such text is desirable for analysis purposes.One common analysis task is the classification of questionnaires.For this purpose, an IRL technique is presented.An empirical comparison is also conducted to compare the presented technique with other established machine learning techniques.This IRL technique has been shown to be effective and efficient when applied to the classification of a collection of veterinary questionnaires. 2013-08-28 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/12032/1/PID23.pdf Chua, Stephanie and Coenen, Frans (2013) An inductive rule learning technique for next mining in questionnaires. In: 4th International Conference on Computing and Informatics (ICOCI 2013), 28 -30 August 2013, Kuching, Sarawak, Malaysia. http://www.icoci.cms.net.my/proceedings/2013/TOC.html |
| spellingShingle | QA76 Computer software Chua, Stephanie Coenen, Frans An inductive rule learning technique for next mining in questionnaires |
| title | An inductive rule learning technique for next mining in questionnaires |
| title_full | An inductive rule learning technique for next mining in questionnaires |
| title_fullStr | An inductive rule learning technique for next mining in questionnaires |
| title_full_unstemmed | An inductive rule learning technique for next mining in questionnaires |
| title_short | An inductive rule learning technique for next mining in questionnaires |
| title_sort | inductive rule learning technique for next mining in questionnaires |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/12032/1/PID23.pdf |
| work_keys_str_mv | AT chuastephanie aninductiverulelearningtechniquefornextmininginquestionnaires AT coenenfrans aninductiverulelearningtechniquefornextmininginquestionnaires AT chuastephanie inductiverulelearningtechniquefornextmininginquestionnaires AT coenenfrans inductiverulelearningtechniquefornextmininginquestionnaires |