{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T03:17:07Z","timestamp":1740107827779,"version":"3.37.3"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"15","license":[{"start":{"date-parts":[[2019,12,23]],"date-time":"2019-12-23T00:00:00Z","timestamp":1577059200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,12,23]],"date-time":"2019-12-23T00:00:00Z","timestamp":1577059200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["91646102","L1824039","L1724034","L1724026","L1524015","L1624045"],"award-info":[{"award-number":["91646102","L1824039","L1724034","L1724026","L1524015","L1624045"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"MOE (Ministry of Education in China) Project of Humanities and Social Sciences","award":["16JDGC011"],"award-info":[{"award-number":["16JDGC011"]}]},{"name":"Construction Project of China Knowledge Center for Engineering Sciences and Technology","award":["CKCEST-2018-1-13"],"award-info":[{"award-number":["CKCEST-2018-1-13"]}]},{"name":"UK\u2013China Industry Academia Partnership Program","award":["UK-CIAPP\/260"],"award-info":[{"award-number":["UK-CIAPP\/260"]}]},{"name":"Tsinghua University Project of Volvo-supported Green Economy and Sustainable Development","award":["20153000181"],"award-info":[{"award-number":["20153000181"]}]},{"name":"Tsinghua Initiative Research Project","award":["2016THZW"],"award-info":[{"award-number":["2016THZW"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2020,8]]},"DOI":"10.1007\/s00500-019-04604-0","type":"journal-article","created":{"date-parts":[[2019,12,23]],"date-time":"2019-12-23T08:04:06Z","timestamp":1577088246000},"page":"11407-11423","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["A novel topic model for documents by incorporating semantic relations between words"],"prefix":"10.1007","volume":"24","author":[{"given":"Jihong","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9198-6586","authenticated-orcid":false,"given":"Yuan","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zheng","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yufei","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhuo","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Yin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,12,23]]},"reference":[{"key":"4604_CR1","doi-asserted-by":"crossref","unstructured":"Ahmed A, Long J, Silva D, Wang Y (2017) A practical algorithm for solving the incoherence problem of topic models in industrial applications. In: Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining, pp 1713\u20131721","DOI":"10.1145\/3097983.3098200"},{"key":"4604_CR2","doi-asserted-by":"crossref","unstructured":"Andrzejewski D, Zhu X, Craven M (2009) Incorporating domain knowledge into topic modeling via Dirichlet forest priors. In: Proceedings of the 26th annual international conference on machine learning, pp 25\u201332","DOI":"10.1145\/1553374.1553378"},{"key":"4604_CR3","unstructured":"Blei DM, Lafferty JD (2005) Correlated topic models. In: Proceedings of the 18th international conference on neural information processing systems, pp 147\u2013154"},{"key":"4604_CR4","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei DM, Ng AY, Jordan MI (2003) Latent dirichlet allocation. J Mach Learn Res Arch 3:993\u20131022","journal-title":"J Mach Learn Res Arch"},{"key":"4604_CR5","unstructured":"Chang J, Boyd-Graber J, Gerrish S, Wang C, Blei DM (2009) Reading tea leaves: how humans interpret topic models. In: Proceedings of the 22nd international conference on neural information processing systems, pp 288\u2013296"},{"key":"4604_CR6","doi-asserted-by":"crossref","unstructured":"Chen Z, Liu B (2014a) Mining topics in documents: standing on the shoulders of big data. In: Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining, pp 1116\u20131125","DOI":"10.1145\/2623330.2623622"},{"key":"4604_CR7","unstructured":"Chen Z, Liu B (2014b) Topic modeling using topics from many domains, lifelong learning and big data. In: Proceedings of the 31st international conference on international conference on machine learning, pp II-703\u2013II-711"},{"key":"4604_CR8","doi-asserted-by":"crossref","unstructured":"Chen Z, Mukherjee A, Liu B, Hsu M, Castellanos M, Ghosh R (2013a) Discovering coherent topics using general knowledge. In: Proceedings of the 22nd ACM international conference on information & knowledge management, pp 209\u2013218","DOI":"10.1145\/2505515.2505519"},{"key":"4604_CR9","unstructured":"Chen Z, Mukherjee A, Liu B, Hsu M, Castellanos M, Ghosh R (2013b) Leveraging multi-domain prior knowledge in topic models. In: Proceedings of the twenty-third international joint conference on artificial Intelligence, pp 2071\u20132077"},{"key":"4604_CR10","doi-asserted-by":"crossref","unstructured":"Fang A, Macdonald C, Ounis I, Habel P (2016) Using word embedding to evaluate the coherence of topics from Twitter data. In: Proceedings of the 39th international ACM SIGIR conference on research and development in information retrieval, pp 1057\u20131060","DOI":"10.1145\/2911451.2914729"},{"key":"4604_CR11","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.knosys.2018.02.012","volume":"147","author":"X Fu","year":"2018","unstructured":"Fu X, Sun X, Wu H, Cui L, Huang JZ (2018) Weakly supervised topic sentiment joint model with word embeddings. Knowl-Based Syst 147:43\u201354","journal-title":"Knowl-Based Syst"},{"key":"4604_CR12","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.neucom.2016.12.074","volume":"257","author":"S Gao","year":"2017","unstructured":"Gao S, Li X, Yu Z, Qin Y, Zhang Y (2017) Combining paper cooperative network and topic model for expert topic analysis and extraction. Neurocomputing 257:136\u2013143","journal-title":"Neurocomputing"},{"issue":"Suppl 1","key":"4604_CR13","doi-asserted-by":"publisher","first-page":"5228","DOI":"10.1073\/pnas.0307752101","volume":"101","author":"TL Griffiths","year":"2004","unstructured":"Griffiths TL, Steyvers M (2004) Finding scientific topics. Proc Natl Acad Sci USA 101(Suppl 1):5228\u20135235","journal-title":"Proc Natl Acad Sci USA"},{"key":"4604_CR14","unstructured":"Heinrich, G (2005) Parameter estimation for text analysis. Technical report"},{"key":"4604_CR15","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1007\/s10994-013-5413-0","volume":"95","author":"Y Hu","year":"2014","unstructured":"Hu Y, Boyd-Graber J, Satinoff B, Smith A (2014) Interactive topic modeling. Mach Learn 95:423\u2013469","journal-title":"Mach Learn"},{"key":"4604_CR16","unstructured":"Jagarlamudi J, Daum\u00e9 H III, Udupa R (2012) Incorporating lexical priors into topic models. In: Proceedings of the 13th conference of the European chapter of the Association for Computational Linguistics, pp 204\u2013213"},{"key":"4604_CR17","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.ijhcs.2017.03.007","volume":"105","author":"TY Lee","year":"2017","unstructured":"Lee TY, Alison S, Seppi K, Elmqvist N, Boyd-Graber J, Findlater L (2017) The human touch: how non-expert users perceive, interpret, and fix topic models. Int J Hum Comput Stud 105:28\u201342","journal-title":"Int J Hum Comput Stud"},{"key":"4604_CR18","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1016\/j.neucom.2018.05.077","volume":"312","author":"X Li","year":"2018","unstructured":"Li X, Ma Z, Peng P, Guo X, Huang F, Wang X, Guo J (2018) Supervised latent Dirichlet allocation with a mixture of sparse softmax. Neurocomputing 312:324\u2013335","journal-title":"Neurocomputing"},{"key":"4604_CR19","unstructured":"Mikolov T, Chen K, Corrado G, Dean J (2013a) Efficient estimation of word representations in vector space. In: Proceedings of the international conference on learning representations (ICLR), pp 1\u201312"},{"key":"4604_CR20","unstructured":"Mikolov T, Sutskever I, Chen K, Corrado G, Dean J (2013b) Distributed representations of words and phrases and their compositionality. In: Proceedings of the 26th international conference on neural information processing systems, pp 3111\u20133119"},{"key":"4604_CR21","unstructured":"Mimno D, Wallach HM, Talley E, Leenders M, Mccallum A (2011) Optimizing semantic coherence in topic models. In: Proceedings of the conference on empirical methods in natural language processing, pp 262\u2013272"},{"key":"4604_CR22","doi-asserted-by":"crossref","unstructured":"Pennington J, Socher R, Manning C (2014) Glove: global vectors for word representation. In: Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP), pp 1532\u20131543","DOI":"10.3115\/v1\/D14-1162"},{"key":"4604_CR23","unstructured":"Petterson J, Smola AJ, Caetano TS, Buntine WL, Narayanamurthy S (2010) Word features for latent Dirichlet allocation. In: Proceedings of the 23rd international conference on neural information processing systems, pp 1921\u20131929"},{"key":"4604_CR24","doi-asserted-by":"crossref","unstructured":"Qiang J, Chen P, Wang T, Wu X (2017) Topic modeling over short texts by incorporating word embeddings. In: Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp 363\u2013374","DOI":"10.1007\/978-3-319-57529-2_29"},{"key":"4604_CR25","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.eswa.2017.02.038","volume":"80","author":"M Shams","year":"2017","unstructured":"Shams M, Baraani-Dastjerdi A (2017) Enriched LDA (ELDA): combination of latent Dirichlet allocation with word co-occurrence analysis for aspect extraction. Expert Syst Appl 80:136\u2013146","journal-title":"Expert Syst Appl"},{"key":"4604_CR26","unstructured":"Xie P, Xing EP (2013) Integrating document clustering and topic modeling. In: Proceedings of the 20th conference on uncertainty in artificial intelligence, pp 694\u2013703"},{"key":"4604_CR27","doi-asserted-by":"crossref","unstructured":"Xie P, Yang D, Xing E (2015) Incorporating word correlation knowledge into topic modeling. In: Proceedings of the 2015 conference of the North American chapter of the Association for Computational Linguistics: Human Language Technologies, pp 725\u2013734","DOI":"10.3115\/v1\/N15-1074"},{"key":"4604_CR28","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.eswa.2018.03.008","volume":"103","author":"Y Xu","year":"2018","unstructured":"Xu Y, Yin J, Huang J, Yin Y (2018) Hierarchical topic modeling with automatic knowledge mining. Expert Syst Appl 103:106\u2013117","journal-title":"Expert Syst Appl"},{"key":"4604_CR29","doi-asserted-by":"crossref","unstructured":"Xun G, Gopalakrishnan V, Ma F, Li Y, Gao J, Zhang A (2016) Topic discovery for short texts using word embeddings. In: 2016 IEEE 16th international conference on data mining (ICDM), pp 1299\u20131304","DOI":"10.1109\/ICDM.2016.0176"},{"key":"4604_CR30","unstructured":"Yang L, Liu Z, Chua TS, Sun M (2015a) Topical word embeddings. In: Proceedings of the twenty-ninth AAAI conference on artificial intelligence, pp 2418\u20132424"},{"key":"4604_CR31","doi-asserted-by":"crossref","unstructured":"Yang S, Lu W, Yang D, Yao L, Wei B (2015b) Short text understanding by leveraging knowledge into topic model. In: The 2015 annual conference of the North American Chapter of the ACL, pp 1232\u20131237","DOI":"10.3115\/v1\/N15-1131"},{"key":"4604_CR32","doi-asserted-by":"crossref","unstructured":"Yang Y, Downey D, Boyd-Graber J (2015c) Efficient methods for incorporating knowledge into topic models. In: Proceedings of the 2015 conference on empirical methods in natural language processing, pp 308\u2013317","DOI":"10.18653\/v1\/D15-1037"},{"key":"4604_CR33","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/j.eswa.2016.04.014","volume":"60","author":"L Yao","year":"2016","unstructured":"Yao L, Zhang Y, Wei B, Li L, Wu F, Zhang P, Bian Y (2016) Concept over time: the combination of probabilistic topic model with wikipedia knowledge. Expert Syst Appl 60:27\u201338","journal-title":"Expert Syst Appl"},{"key":"4604_CR34","doi-asserted-by":"publisher","first-page":"432","DOI":"10.1016\/j.engappai.2017.06.024","volume":"64","author":"L Yao","year":"2017","unstructured":"Yao L, Zhang Y, Chen Q, Qian H, Wei B, Hu Z (2017) Mining coherent topics in documents using word embeddings and large-scale text data. Eng Appl Artif Intell 64:432\u2013439","journal-title":"Eng Appl Artif Intell"},{"key":"4604_CR35","unstructured":"Zhu J, Xing EP (2010) Conditional topic random fields. In: Proceedings of the 27th international conference on international conference on machine learning, pp 1239\u20131246"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-019-04604-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-019-04604-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-019-04604-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,22]],"date-time":"2020-12-22T00:19:06Z","timestamp":1608596346000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-019-04604-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,23]]},"references-count":35,"journal-issue":{"issue":"15","published-print":{"date-parts":[[2020,8]]}},"alternative-id":["4604"],"URL":"https:\/\/doi.org\/10.1007\/s00500-019-04604-0","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"type":"print","value":"1432-7643"},{"type":"electronic","value":"1433-7479"}],"subject":[],"published":{"date-parts":[[2019,12,23]]},"assertion":[{"value":"23 December 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that there is no conflict of interest regarding the publication of this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}