{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T23:34:08Z","timestamp":1722641648404},"reference-count":0,"publisher":"IGI Global","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,4]]},"abstract":"<jats:p>In a question-answering system, learner generated content including asked and answered questions is a meaningful resource to capture learning interests. This paper proposes an approach based on question topic mining for revealing learners' concerned topics in real community question-answering systems. The authors' approach firstly preprocesses all questions associated with learners. Afterwards, it analyzes each question with text features and generates a weight feature matrix using a revised TF\/IDF method. In order to decrease the sparsity issue of data distribution, the authors employ three concept-mapping strategies including named entity recognition, synonym extension, and hyponym replacement. Applying an SVM classifier, their approach categorizes user questions into representative topics. Three experiments are conducted based on a TREC dataset and an actual dataset containing 1,120 questions posted by learners from a commercial question-answering community. Results demonstrate the effectiveness of the method compared with conventional classifiers as baselines.<\/jats:p>","DOI":"10.4018\/ijdet.2017040102","type":"journal-article","created":{"date-parts":[[2017,2,7]],"date-time":"2017-02-07T17:08:36Z","timestamp":1486487316000},"page":"18-32","source":"Crossref","is-referenced-by-count":4,"title":["Revealing Learner Interests through Topic Mining from Question-Answering Data"],"prefix":"10.4018","volume":"15","author":[{"given":"Yijie","family":"Dun","sequence":"first","affiliation":[{"name":"Mathematics and Computer Institute, Northwest University for Nationalities, Lanzhou, China"}]},{"given":"Na","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electronics and Communication Engineering, Zhengzhou University of Aeronautics, Zhengzhou, China"}]},{"given":"Min","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Informatics, Guangdong University of Foreign Studies, Guangzhou, China"}]},{"given":"Tianyong","family":"Hao","sequence":"additional","affiliation":[{"name":"School of Informatics and Collaborative Innovation Center for 21st-Century Maritime Silk Road Studies, Guangdong University of Foreign Studies, Guangzhou, China"}]}],"member":"2432","container-title":["International Journal of Distance Education Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=177258","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T19:48:25Z","timestamp":1651780105000},"score":1,"resource":{"primary":{"URL":"http:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJDET.2017040102"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2017,4]]},"references-count":0,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.4018\/ijdet.2017040102","relation":{},"ISSN":["1539-3100","1539-3119"],"issn-type":[{"value":"1539-3100","type":"print"},{"value":"1539-3119","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,4]]}}}