{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T15:49:29Z","timestamp":1740152969474,"version":"3.37.3"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2020,9,14]],"date-time":"2020-09-14T00:00:00Z","timestamp":1600041600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,9,14]],"date-time":"2020-09-14T00:00:00Z","timestamp":1600041600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Rev Socionetwork Strat"],"published-print":{"date-parts":[[2020,10]]},"DOI":"10.1007\/s12626-020-00063-4","type":"journal-article","created":{"date-parts":[[2020,9,14]],"date-time":"2020-09-14T18:02:27Z","timestamp":1600106547000},"page":"193-204","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Improving Matching Process with Expanding and Classifying Criterial Keywords leveraging Word Embedding and Hierarchical Clustering Methods"],"prefix":"10.1007","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1194-8548","authenticated-orcid":false,"given":"Yutaka","family":"Iwakami","sequence":"first","affiliation":[]},{"given":"Hironori","family":"Takuma","sequence":"additional","affiliation":[]},{"given":"Motoi","family":"Iwashita","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,14]]},"reference":[{"key":"63_CR1","doi-asserted-by":"publisher","first-page":"1966","DOI":"10.1016\/j.procs.2019.09.369","volume":"159","author":"M Iwashita","year":"2019","unstructured":"Iwashita, M. (2019). A proposal of matching algorithm for new type of advertisement business model. Procedia Computer Science, 159, 1966\u20131975.","journal-title":"Procedia Computer Science"},{"issue":"3","key":"63_CR2","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1016\/j.jmoneco.2009.03.003","volume":"56","author":"W Haan","year":"2009","unstructured":"Haan, W., & Kaltenbrunner, G. (2009). Anticipated growth and business cycles in matching models. Journal of Monetary Economics, 56(3), 309\u2013327.","journal-title":"Journal of Monetary Economics"},{"key":"63_CR3","doi-asserted-by":"publisher","first-page":"1802","DOI":"10.1016\/j.procs.2018.08.097","volume":"126","author":"M Iwashita","year":"2018","unstructured":"Iwashita, M., Tanimoto, S., & Tsuchiya, K. (2018). Framework of highly secure transaction management for affiliate services of video advertising. Procedia Computer Science, 126, 1802\u20131809.","journal-title":"Procedia Computer Science"},{"issue":"1","key":"63_CR4","first-page":"1","volume":"10","author":"R Hall","year":"2018","unstructured":"Hall, R., & Schulhofer-Wohl, S. (2018). Measuring job-finding rates and matching efficiency with heterogeneous job-seekers. American Economic Journal, 10(1), 1\u201332.","journal-title":"American Economic Journal"},{"key":"63_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jjie.2018.06.001","volume":"50","author":"Y Higashi","year":"2018","unstructured":"Higashi, Y. (2018). Spatial spillovers in job matching: Evidence from the Japanese local labor markets. Journal of the Japanese and International Economics, 50, 1\u201315.","journal-title":"Journal of the Japanese and International Economics"},{"issue":"8","key":"63_CR6","doi-asserted-by":"publisher","first-page":"1521","DOI":"10.1016\/j.engappai.2011.02.016","volume":"24","author":"M Iwashita","year":"2011","unstructured":"Iwashita, M., Shimogawa, S., & Nishimatsu, K. (2011). Semantic analysis and classification method for customer enquiries in telecommunication services. Engineering Applications of Artificial Intelligence, 24(8), 1521\u20131531.","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"63_CR7","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.cogsys.2017.07.003","volume":"47","author":"M Garg","year":"2018","unstructured":"Garg, M., & Kumar, M. (2018). Identifying influential segments from word co-occurrence networks using AHP. Cognitve Systems Research, 47, 28\u201341.","journal-title":"Cognitve Systems Research"},{"key":"63_CR8","doi-asserted-by":"crossref","unstructured":"Angelo, L., Stefan, P., Fratocchi, L., Marzola. A. (2018) An AHP-based method for choosing the best 3D scanner for cultural heritage applications. Journal of Cultural Heritage 34, 109\u2013115.","DOI":"10.1016\/j.culher.2018.03.026"},{"key":"63_CR9","unstructured":"Mkolov, T., Chen, K., Corrado, G., Dean, J. (2013) Efficient estimation of word representations in vector space. Computation and Language"},{"key":"63_CR10","doi-asserted-by":"publisher","unstructured":"Fukui, K., Miyazaki, T., Ohira, M. (2019) Suggesting questions that match each user\u2019s expertise in community question and answering services, 20th IEEE\/ACIS international conference on software engineering, artificial intelligence, networking and parallel\/distributed computing (SNPD) https:\/\/doi.org\/10.1109\/SNPD.2019.8935747","DOI":"10.1109\/SNPD.2019.8935747"},{"key":"63_CR11","doi-asserted-by":"publisher","DOI":"10.4018\/IJSSCI.201804010","author":"X Jing","year":"2018","unstructured":"Jing, X., Wang, P., & Rayz, J. (2018). Discovering attribute-specific features from online reviews: what is the gap between automated tools and human cognition? Software Science and Computational Intelligence. https:\/\/doi.org\/10.4018\/IJSSCI.201804010.","journal-title":"Software Science and Computational Intelligence"},{"key":"63_CR12","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-7998-0951-7.ch053","author":"R Jan","year":"2020","unstructured":"Jan, R., Khan, A. (2020). Emotion mining using semantic similarity. Natural Language Processing. https:\/\/doi.org\/10.4018\/978-1-7998-0951-7.ch053.","journal-title":"Natural Language Processing"},{"key":"63_CR13","doi-asserted-by":"crossref","unstructured":"Kim, S., Park, H., Lee, J (2020) Word2vec-based latent semantic analysis (W2V-LSA) for topic modeling: A study on blockchain technology trend analysis. Expert Systems with Applications152, 113401","DOI":"10.1016\/j.eswa.2020.113401"},{"key":"63_CR14","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1016\/j.procs.2019.08.153","volume":"157","author":"D Jatnika","year":"2019","unstructured":"Jatnika, D., Biijaksana, M., & Suryani, A. (2019). Word2Vec model analysis for semantic similarities in english words. Procedia Computer Science, 157, 160\u2013167.","journal-title":"Procedia Computer Science"},{"key":"63_CR15","doi-asserted-by":"crossref","unstructured":"Kai, H., Qing, L., Kunlun, Qi., Siluo, Y., Jin, M., Xiaokang, F., Jie, Z., Huayi, W., Ya, G., and Qibing, Z. (2019) Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis. Information Processing and Management, 56 (4), 1185\u20131203","DOI":"10.1016\/j.ipm.2019.02.014"},{"key":"63_CR16","unstructured":"Wolf, L., Hanani, Y., Bar, K., Dershowitz N. (2014) Joint word2vec Networks for Bilingual Semantic Representations. IJCLA 5, (1): 27\u201342"},{"key":"63_CR17","doi-asserted-by":"crossref","unstructured":"Goel, A., Ganesh, L., Kaur, A. (2019) Sustainability integration in the management of construction projects: A morphological analysis of over two decades\u2019 research literature. Journal of Cleaner Production, 236, 117676","DOI":"10.1016\/j.jclepro.2019.117676"},{"key":"63_CR18","doi-asserted-by":"crossref","unstructured":"Lee, H., Park, G., Kim, H. (2018) Effective integration of morphological analysis and named entity recognition based on a recurrent neural network. Pattern Recognition Letters, 112, 361\u2013365","DOI":"10.1016\/j.patrec.2018.08.015"},{"key":"63_CR19","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J. (2013) Efficient estimation of word representations in vector space. arXiv preprint. arXiv: 1301.3781"},{"issue":"1","key":"63_CR20","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1017\/S1351324916000334","volume":"23","author":"K Church","year":"2017","unstructured":"Church, K. (2017). Word2Vec. Natural Language Engineering, 23(1), 155\u2013162.","journal-title":"Natural Language Engineering"},{"key":"63_CR21","doi-asserted-by":"crossref","unstructured":"Jianqiang, L., Jing, L., Xianghua, F., Masud, M., Zhexue, H. (2016) Learning distributed word representation with multi-contextual mixed embedding. Knowledge-Based Systems, 106, 220\u2013230","DOI":"10.1016\/j.knosys.2016.05.045"},{"key":"63_CR22","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1016\/j.cose.2018.07.003","volume":"78","author":"R Carrasco","year":"2018","unstructured":"Carrasco, R., & Sicilia, M. (2018). Unsupervised intrusion detection through skip-gram models of network behavior. Computers and Security, 78, 187\u2013197.","journal-title":"Computers and Security"},{"key":"63_CR23","doi-asserted-by":"crossref","unstructured":"Lior, R., Maimon, O. (2005) Clustering methods - Data mining and knowledge discovery, handbook, (Springer US), 321\u2212352","DOI":"10.1007\/b107408"},{"key":"63_CR24","doi-asserted-by":"publisher","first-page":"108781","DOI":"10.1016\/j.spl.2020.108781","volume":"163","author":"S Chakraborty","year":"2020","unstructured":"Chakraborty, S., Paul, D., & Das, S. (2020). Hierarchical clustering with optimal transport. Statistics and Probability Letters, 163, 108781.","journal-title":"Statistics and Probability Letters"},{"key":"63_CR25","doi-asserted-by":"crossref","unstructured":"Xu, Q., Zhang, Q., Liu, J., Luo, B. (2020) Efficient synthetical clustering validity indexes for hierarchical clustering. Expert Systems with Applications, 151, 113367","DOI":"10.1016\/j.eswa.2020.113367"},{"key":"63_CR26","doi-asserted-by":"crossref","unstructured":"Kim, Hy., Kim, Ha., Cho, S. (2020) Improving spherical k-means for document clustering: Fast initialization, sparse centroid projection, and efficient cluster labeling. Expert Systems with Applications, 150, 113288","DOI":"10.1016\/j.eswa.2020.113288"},{"key":"63_CR27","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1016\/j.inffus.2020.03.009","volume":"61","author":"L Bai","year":"2020","unstructured":"Bai, L., Liang, J., & Cao, F. (2020). A multiple k-means clustering ensemble algorithm to find nonlinearly separable clusters. Information Fusion, 61, 36\u201347.","journal-title":"Information Fusion"},{"key":"63_CR28","unstructured":"Takuma, H. (2018) Consideration of feasibility to support function for value indicator management by mathematical analysis for implementation of IoPM. J. Intern. Assoc. of P2M 13(1), 249\u2212259"},{"key":"63_CR29","unstructured":"Takuma, H., Hiyama, M. (2015) Discussion of the value indicators for associating projects with programs. Journal International of Association. of P2M. 10(1): 23\u221234"},{"key":"63_CR30","unstructured":"Takuma, H., Iwakami, Y. (2018) Extraction of fundamental KPIs in new product development using Bayesian network analysis. Proceedings of the 6th Asian Conf. on Innovative Energy and Environmental Chemical Engineering 163\u2212169"},{"key":"63_CR31","unstructured":"Yedidia, J., Freeman, W., Weiss, Y. (2019) Understanding belief propagation and its generalizations. Mitsubishi Electric Research Laboratories TR2001\u201322. Accessed May 30, 2019"},{"key":"63_CR32","doi-asserted-by":"publisher","first-page":"103227","DOI":"10.1016\/j.compind.2020.103227","volume":"119","author":"F Sanchez","year":"2020","unstructured":"Sanchez, F., Bonjour, E., Micaelli, J., & Monitcolo, D. (2020). An approach based on bayesian network for improving project management maturity: an application to reduce cost overrun risks in engineering projects. Computers in Industry, 119, 103227.","journal-title":"Computers in Industry"},{"key":"63_CR33","doi-asserted-by":"crossref","unstructured":"Yan, J., Zhang, Z., Lin, K., Yang, F., Luo, X. (2020) A hybrid scheme-based one-vs-all decision trees for multi-class classification tasks. Knowledge-Based Systems, 198, 105922","DOI":"10.1016\/j.knosys.2020.105922"},{"key":"63_CR34","doi-asserted-by":"crossref","unstructured":"Barsacchi, M., Bechini, A., Marcelloni, F.: An analysis of boosted ensembles of binary fuzzy decision trees. Expert Systems with Applications, 154, 113436","DOI":"10.1016\/j.eswa.2020.113436"}],"container-title":["The Review of Socionetwork Strategies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12626-020-00063-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12626-020-00063-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12626-020-00063-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,13]],"date-time":"2021-09-13T23:46:34Z","timestamp":1631576794000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12626-020-00063-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,14]]},"references-count":34,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2020,10]]}},"alternative-id":["63"],"URL":"https:\/\/doi.org\/10.1007\/s12626-020-00063-4","relation":{},"ISSN":["2523-3173","1867-3236"],"issn-type":[{"type":"print","value":"2523-3173"},{"type":"electronic","value":"1867-3236"}],"subject":[],"published":{"date-parts":[[2020,9,14]]},"assertion":[{"value":"14 May 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 August 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 September 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ehtical standards"}},{"value":"On behalf of all authors, the corresponding author states that there is no conflict of interest to declare.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest Statement"}}]}}