{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T06:59:14Z","timestamp":1760597954277},"reference-count":39,"publisher":"IGI Global","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,4]]},"abstract":"<jats:p>Supervised keyword extraction methods usually require a large human-annotated corpus to train the model. Expensive manual labeling has made unsupervised technology using word graph networks attractive. Traditional word graph networks simply consider the co-occurrence relationship of words or the topological structure of the network, ignoring the influence of semantic relations between words on keyword extraction. To solve these problems, an unsupervised keyword extraction method based on word graph networks for both Chinese and English is proposed. This method uses word embedding to applying a \u201cword attraction score\u201d to semantic relevance between words in a document. Combination of the bias weight of the node and a weighted PageRank algorithm is used to compute the final scores of words. The experimental results demonstrate that the method is more effective than the traditional methods.<\/jats:p>","DOI":"10.4018\/ijaci.2020040104","type":"journal-article","created":{"date-parts":[[2020,3,6]],"date-time":"2020-03-06T15:26:53Z","timestamp":1583508413000},"page":"68-79","source":"Crossref","is-referenced-by-count":12,"title":["Unsupervised Keyword Extraction Methods Based on a Word Graph Network"],"prefix":"10.4018","volume":"11","author":[{"given":"Hongbin","family":"Wang","sequence":"first","affiliation":[{"name":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, China"}]},{"given":"Jingzhen","family":"Ye","sequence":"additional","affiliation":[{"name":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, China"}]},{"given":"Zhengtao","family":"Yu","sequence":"additional","affiliation":[{"name":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, China"}]},{"given":"Jian","family":"Wang","sequence":"additional","affiliation":[{"name":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, China"}]},{"given":"Cunli","family":"Mao","sequence":"additional","affiliation":[{"name":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, China"}]}],"member":"2432","reference":[{"key":"IJACI.2020040104-0","doi-asserted-by":"publisher","DOI":"10.1109\/WI-IAT.2012.82"},{"key":"IJACI.2020040104-1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/K18-1022"},{"key":"IJACI.2020040104-2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.12.025"},{"key":"IJACI.2020040104-3","unstructured":"Bougouin, A., Boudin, F., & Daille, B. (2013). Topicrank: Graph-based topic ranking for keyphrase extraction. In Proceedings of the International Joint Conference on Natural Language Processing (IJCNLP) (pp. 543-551). Academic Press."},{"key":"IJACI.2020040104-4","doi-asserted-by":"crossref","unstructured":"Brin, S., & Page, L. (1998). The anatomy of a large-scale hypertextual web search engine. Computer networks and ISDN systems, 30(1-7), 107-117.","DOI":"10.1016\/S0169-7552(98)00110-X"},{"key":"IJACI.2020040104-5","doi-asserted-by":"publisher","DOI":"10.1201\/9780429441134"},{"issue":"7","key":"IJACI.2020040104-6","first-page":"2046","article-title":"Features oriented survey of state-of-the-art keyphrase extraction algorithms.","volume":"29","author":"Y.Chang","year":"2018","journal-title":"Journal of Software"},{"key":"IJACI.2020040104-7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2009.07.016"},{"key":"IJACI.2020040104-8","doi-asserted-by":"publisher","DOI":"10.1109\/IHMSC.2014.123"},{"key":"IJACI.2020040104-9","unstructured":"Chen, W. Z. (2016). Research on the Optimization of TextRank Keyword Extraction Algorithm and SOM Text Cluster Model [Master dissertation]. Guangxi University."},{"key":"IJACI.2020040104-10","doi-asserted-by":"publisher","DOI":"10.2307\/1932409"},{"key":"IJACI.2020040104-11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.10.034"},{"key":"IJACI.2020040104-12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1102"},{"key":"IJACI.2020040104-13","article-title":"A position-biased pagerank algorithm for keyphrase extraction.","author":"C.Florescu","year":"2017","journal-title":"Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence"},{"key":"IJACI.2020040104-14","unstructured":"Frank, E., Paynter, G. W., Witten, I. H., Gutwin, C., & Nevill-Manning, C. G. (1999). Domain-specific keyphrase extraction. In Proceedings of the16th International joint conference on artificial intelligence (IJCAI 99) (Vol. 2, pp. 668-673). Academic Press."},{"key":"IJACI.2020040104-15","first-page":"3180","article-title":"Incorporating expert knowledge into keyphrase extraction.","author":"S. D.Gollapalli","year":"2017","journal-title":"Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence"},{"key":"IJACI.2020040104-16","doi-asserted-by":"publisher","DOI":"10.1080\/00437956.1954.11659520"},{"key":"IJACI.2020040104-17","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1119"},{"issue":"1","key":"IJACI.2020040104-18","first-page":"78","article-title":"A grammatical category combined short text similarity algorithm and its application in text categorization. Telecommunication","volume":"57","author":"X.Huang","year":"2017","journal-title":"Engineering"},{"key":"IJACI.2020040104-19","doi-asserted-by":"publisher","DOI":"10.3115\/1119355.1119383"},{"key":"IJACI.2020040104-20","first-page":"756","article-title":"A ranking approach to keyphrase extraction.","author":"X.Jiang","year":"2009","journal-title":"Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval"},{"key":"IJACI.2020040104-21","doi-asserted-by":"publisher","DOI":"10.1145\/324133.324140"},{"key":"IJACI.2020040104-22","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-018-1003-9"},{"key":"IJACI.2020040104-23","doi-asserted-by":"publisher","DOI":"10.3115\/1613172.1613178"},{"key":"IJACI.2020040104-24","doi-asserted-by":"publisher","DOI":"10.3115\/1699510.1699544"},{"key":"IJACI.2020040104-25","unstructured":"Mihalcea, R., & Tarau, P. (2004). Textrank: Bringing order into text. In Proceedings of the 2004 conference on empirical methods in natural language processing. Academic Press."},{"issue":"2","key":"IJACI.2020040104-26","first-page":"1671","article-title":"An Approach of Automatic Key Phrase Extraction Based on Graphand Clustering.","volume":"50","author":"X.Qinzheng","year":"2018","journal-title":"Zhengzhou Univ. Nat. Sci. Ed."},{"key":"IJACI.2020040104-27","doi-asserted-by":"publisher","DOI":"10.1016\/0306-4573(88)90021-0"},{"key":"IJACI.2020040104-28","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009976227802"},{"key":"IJACI.2020040104-29","unstructured":"Wan, X., & Xiao, J. (2008). Single Document Keyphrase Extraction Using Neighborhood Knowledge. AAAI, 8, 855-860."},{"key":"IJACI.2020040104-30","unstructured":"Wang, J., & Peng, H. (2005). Keyphrases extraction from web document by the least squares support vector machine. In Proceedings of the2005 IEEE\/WIC\/ACM International Conference on Web Intelligence (WI'05) (pp. 293-296). Academic Press."},{"key":"IJACI.2020040104-31","unstructured":"Wang, R., Liu, W., & McDonald, C. (2014). Corpus-independent generic keyphrase extraction using word embedding vectors. In Proceedings of the Software Engineering Research Conference. Academic Press."},{"key":"IJACI.2020040104-32","doi-asserted-by":"crossref","unstructured":"Witten, I. H., & Medelyan, O. (2006). Thesaurus based automatic keyphrase indexing. In Proceedings of the 6th ACM\/IEEE-CS Joint Conference on Digital Libraries (JCDL\u201906) (pp. 296-297). Academic Press.","DOI":"10.1145\/1141753.1141819"},{"issue":"2","key":"IJACI.2020040104-33","first-page":"28","article-title":"Extracting keywords with modified TextRank model.","volume":"1","author":"T.Xia","year":"2017","journal-title":"Data Analysis and Knowledge Discovery"},{"key":"IJACI.2020040104-34","doi-asserted-by":"publisher","DOI":"10.1007\/s11192-018-2743-5"},{"key":"IJACI.2020040104-35","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2017.03.087"},{"issue":"3","key":"IJACI.2020040104-36","first-page":"1169","article-title":"Automatic keyword extraction from documents using conditional random fields.","volume":"4","author":"C.Zhang","year":"2008","journal-title":"Journal of Computer Information Systems"},{"key":"IJACI.2020040104-37","doi-asserted-by":"crossref","unstructured":"Zhang, K., Xu, H., Tang, J., & Li, J. (2006). Keyword extraction using support vector machine. In Proceedings of theInternational Conference on Web-Age Information Management (pp. 85-96). Academic Press.","DOI":"10.1007\/11775300_8"},{"key":"IJACI.2020040104-38","doi-asserted-by":"publisher","DOI":"10.1109\/WISA.2017.12"}],"container-title":["International Journal of Ambient Computing and Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=250851","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T21:55:21Z","timestamp":1651787721000},"score":1,"resource":{"primary":{"URL":"http:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJACI.2020040104"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2020,4]]},"references-count":39,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.4018\/ijaci.2020040104","relation":{},"ISSN":["1941-6237","1941-6245"],"issn-type":[{"value":"1941-6237","type":"print"},{"value":"1941-6245","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,4]]}}}