{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T16:35:45Z","timestamp":1745339745856,"version":"3.37.3"},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2021,3,23]],"date-time":"2021-03-23T00:00:00Z","timestamp":1616457600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,3,23]],"date-time":"2021-03-23T00:00:00Z","timestamp":1616457600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Process Lett"],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1007\/s11063-021-10499-6","type":"journal-article","created":{"date-parts":[[2021,3,23]],"date-time":"2021-03-23T13:02:43Z","timestamp":1616504563000},"page":"1979-1994","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Extraction of Competitive Factors in a Competitor Analysis Using an Explainable Neural Network"],"prefix":"10.1007","volume":"53","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4199-936X","authenticated-orcid":false,"given":"Younghoon","family":"Lee","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,3,23]]},"reference":[{"key":"10499_CR1","volume-title":"Strategic planning: a practical guide for competitive success","author":"SC Abraham","year":"2012","unstructured":"Abraham SC (2012) Strategic planning: a practical guide for competitive success. Emerald Group Publishing, Bingley"},{"key":"10499_CR2","first-page":"116","volume":"24","author":"A Adom","year":"2016","unstructured":"Adom A, Nyarko I, Som G (2016) Competitor analysis in strategic management: Is it a worthwhile managerial practice in contemporary times. J Resour Dev Manag 24:116\u2013127","journal-title":"J Resour Dev Manag"},{"key":"10499_CR3","unstructured":"Ancona M, Ceolini E, \u00d6ztireli C, Gross M (2017) Towards better understanding of gradient-based attribution methods for deep neural networks. arXiv preprint arXiv:1711.06104"},{"issue":"8","key":"10499_CR4","doi-asserted-by":"publisher","first-page":"1485","DOI":"10.1287\/mnsc.1110.1370","volume":"57","author":"N Archak","year":"2011","unstructured":"Archak N, Ghose A, Ipeirotis PG (2011) Deriving the pricing power of product features by mining consumer reviews. Manag Sci 57(8):1485\u20131509","journal-title":"Manag Sci"},{"key":"10499_CR5","doi-asserted-by":"crossref","unstructured":"Dalpiaz F, Parente M (2019) Re-swot: from user feedback to requirements via competitor analysis. In: International working conference on requirements engineering: foundation for software quality, pp 55\u201370. Springer","DOI":"10.1007\/978-3-030-15538-4_4"},{"key":"10499_CR6","volume-title":"Business and competitive analysis: effective application of new and classic methods","author":"CS Fleisher","year":"2015","unstructured":"Fleisher CS, Bensoussan BE (2015) Business and competitive analysis: effective application of new and classic methods. FT Press, Upper Saddle River"},{"key":"10499_CR7","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.ijhm.2017.09.004","volume":"71","author":"S Gao","year":"2018","unstructured":"Gao S, Tang O, Wang H, Yin P (2018) Identifying competitors through comparative relation mining of online reviews in the restaurant industry. Int J Hosp Manag 71:19\u201332","journal-title":"Int J Hosp Manag"},{"key":"10499_CR8","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1108\/BPMJ-05-2015-0065","volume":"23","author":"L Guo","year":"2017","unstructured":"Guo L, Sharma R, Yin L, Lu R, Rong K (2017) Automated competitor analysis using big data analytics. Bus Process Manag J 23:735\u2013762","journal-title":"Bus Process Manag J"},{"issue":"4","key":"10499_CR9","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1007\/s11301-019-00158-5","volume":"69","author":"N Hatzijordanou","year":"2019","unstructured":"Hatzijordanou N, Bohn N, Terzidis O (2019) A systematic literature review on competitor analysis: status quo and start-up specifics. Manag Rev Q 69(4):415\u2013458","journal-title":"Manag Rev Q"},{"key":"10499_CR10","unstructured":"Hinton G, Vinyals O, Dean J (2015) Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531"},{"key":"10499_CR11","unstructured":"Hu L, Chen J, Nair VN, Sudjianto A (2018) Locally interpretable models and effects based on supervised partitioning (lime-sup). arXiv preprint arXiv:1806.00663"},{"key":"10499_CR12","doi-asserted-by":"crossref","unstructured":"Huang S, Liu X, Peng X, Niu Z (2012) Fine-grained product features extraction and categorization in reviews opinion mining. In: 2012 IEEE 12th international conference on data mining workshops (ICDMW), pp 680\u2013686. IEEE","DOI":"10.1109\/ICDMW.2012.53"},{"key":"10499_CR13","doi-asserted-by":"crossref","unstructured":"J\u00e4rvelin K, Kek\u00e4l\u00e4inen J (2000) Ir evaluation methods for retrieving highly relevant documents. In: Proceedings of the 23rd annual international ACM SIGIR conference on research and development in information retrieval, pp 41\u201348. ACM","DOI":"10.1145\/345508.345545"},{"issue":"4","key":"10499_CR14","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1145\/582415.582418","volume":"20","author":"K J\u00e4rvelin","year":"2002","unstructured":"J\u00e4rvelin K, Kek\u00e4l\u00e4inen J (2002) Cumulated gain-based evaluation of IR techniques. ACM Trans Inf Syst (TOIS) 20(4):422\u2013446","journal-title":"ACM Trans Inf Syst (TOIS)"},{"key":"10499_CR15","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.engappai.2015.12.005","volume":"49","author":"J Jin","year":"2016","unstructured":"Jin J, Ji P, Gu R (2016) Identifying comparative customer requirements from product online reviews for competitor analysis. Eng Appl Artif Intell 49:61\u201373","journal-title":"Eng Appl Artif Intell"},{"issue":"3","key":"10499_CR16","doi-asserted-by":"publisher","first-page":"937","DOI":"10.1007\/s12652-017-0635-9","volume":"10","author":"J Jin","year":"2019","unstructured":"Jin J, Ji P, Yan S (2019) Comparison of series products from customer online concerns for competitive intelligence. J Ambient Intell Hum Comput 10(3):937\u2013952","journal-title":"J Ambient Intell Hum Comput"},{"key":"10499_CR17","doi-asserted-by":"crossref","unstructured":"Jin W, Ho HH, Srihari RK (2009) A novel lexicalized hmm-based learning framework for web opinion mining. In: Proceedings of the 26th annual international conference on machine learning, pp 465\u2013472","DOI":"10.1145\/1553374.1553435"},{"issue":"1","key":"10499_CR18","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1109\/TVCG.2017.2744718","volume":"24","author":"M Kahng","year":"2017","unstructured":"Kahng M, Andrews PY, Kalro A, Chau DHP (2017) Acti VIS: visual exploration of industry-scale deep neural network models. IEEE Trans Vis Comput Gr 24(1):88\u201397","journal-title":"IEEE Trans Vis Comput Gr"},{"key":"10499_CR19","doi-asserted-by":"crossref","unstructured":"Kim HD, Zhai C (2009) Generating comparative summaries of contradictory opinions in text. In: Proceedings of the 18th ACM conference on information and knowledge management, pp 385\u2013394","DOI":"10.1145\/1645953.1646004"},{"issue":"6","key":"10499_CR20","doi-asserted-by":"publisher","first-page":"938","DOI":"10.1016\/j.ipm.2018.06.003","volume":"54","author":"SG Kim","year":"2018","unstructured":"Kim SG, Kang J (2018) Analyzing the discriminative attributes of products using text mining focused on cosmetic reviews. Inf Process Manag 54(6):938\u2013957","journal-title":"Inf Process Manag"},{"key":"10499_CR21","doi-asserted-by":"crossref","unstructured":"Kucherenko S, Song S (2016) Derivative-based global sensitivity measures and their link with sobol\u2019sensitivity indices. In: Monte Carlo and Quasi-Monte Carlo Methods, pp 455\u2013469. Springer","DOI":"10.1007\/978-3-319-33507-0_23"},{"issue":"7","key":"10499_CR22","doi-asserted-by":"publisher","first-page":"1212","DOI":"10.1016\/j.cpc.2010.03.006","volume":"181","author":"S Kucherenko","year":"2010","unstructured":"Kucherenko S et al (2010) A new derivative based importance criterion for groups of variables and its link with the global sensitivity indices. Comput Phys Commun 181(7):1212\u20131217","journal-title":"Comput Phys Commun"},{"issue":"1","key":"10499_CR23","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1007\/s11063-018-9964-8","volume":"50","author":"Y Lee","year":"2019","unstructured":"Lee Y, Chung M, Cho S, Choi J (2019) Extraction of product evaluation factors with a convolutional neural network and transfer learning. Neural Process Lett 50(1):149\u2013164","journal-title":"Neural Process Lett"},{"key":"10499_CR24","doi-asserted-by":"publisher","first-page":"1767","DOI":"10.1007\/s10044-020-00878-5","volume":"23","author":"Y Lee","year":"2020","unstructured":"Lee Y, Park J, Cho S (2020) Extraction and prioritization of product attributes using an explainable neural network. Pattern Anal Appl 23:1767\u20131777","journal-title":"Pattern Anal Appl"},{"key":"10499_CR25","unstructured":"Mikolov T, Chen K, Corrado G, Dean J (2013) Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781"},{"key":"10499_CR26","doi-asserted-by":"crossref","unstructured":"Mudambi SM, Schuff D (2010) Research note: What makes a helpful online review? A study of customer reviews on amazon.com. MIS Q pp 185\u2013200","DOI":"10.2307\/20721420"},{"issue":"3","key":"10499_CR27","doi-asserted-by":"publisher","first-page":"521","DOI":"10.1287\/mksc.1120.0713","volume":"31","author":"O Netzer","year":"2012","unstructured":"Netzer O, Feldman R, Goldenberg J, Fresko M (2012) Mine your own business: market-structure surveillance through text mining. Mark Sci 31(3):521\u2013543","journal-title":"Mark Sci"},{"key":"10499_CR28","unstructured":"Paul MJ, Zhai C, Girju R (2010) Summarizing contrastive viewpoints in opinionated text. In: Proceedings of the 2010 conference on empirical methods in natural language processing, pp 66\u201376. Association for Computational Linguistics"},{"key":"10499_CR29","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.knosys.2016.06.009","volume":"108","author":"S Poria","year":"2016","unstructured":"Poria S, Cambria E, Gelbukh A (2016) Aspect extraction for opinion mining with a deep convolutional neural network. Knowl-Based Syst 108:42\u201349","journal-title":"Knowl-Based Syst"},{"key":"10499_CR30","doi-asserted-by":"crossref","unstructured":"Poria S, Cambria E, Ku LW, Gui C, Gelbukh A (2014) A rule-based approach to aspect extraction from product reviews. In: Proceedings of the second workshop on natural language processing for social media (SocialNLP), pp 28\u201337","DOI":"10.3115\/v1\/W14-5905"},{"issue":"1","key":"10499_CR31","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1162\/coli_a_00034","volume":"37","author":"G Qiu","year":"2011","unstructured":"Qiu G, Liu B, Bu J, Chen C (2011) Opinion word expansion and target extraction through double propagation. Comput Linguist 37(1):9\u201327","journal-title":"Comput Linguist"},{"key":"10499_CR32","doi-asserted-by":"crossref","unstructured":"Ribeiro MT, Singh S, Guestrin C (2016) Why should i trust you? Explaining the predictions of any classifier. In: Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining, pp 1135\u20131144. ACM","DOI":"10.1145\/2939672.2939778"},{"key":"10499_CR33","doi-asserted-by":"crossref","unstructured":"Selvaraju RR, Cogswell M, Das A, Vedantam R, Parikh D, Batra D, et\u00a0al (2017) Grad-cam: visual explanations from deep networks via gradient-based localization. In: ICCV, pp 618\u2013626","DOI":"10.1109\/ICCV.2017.74"},{"key":"10499_CR34","unstructured":"on\u00a0Semantic\u00a0Evaluation, I.W.: Semeval-2014 dataset (2014). https:\/\/alt.qcri.org\/semeval2014"},{"key":"10499_CR35","unstructured":"Sundararajan M, Taly A, Yan Q (2017) Axiomatic attribution for deep networks. In: Proceedings of the 34th international conference on machine learning-volume 70, pp 3319\u20133328. JMLR. org"},{"key":"10499_CR36","unstructured":"Tan S, Caruana R, Hooker G, Koch P, Gordo A (2018) Learning global additive explanations for neural nets using model distillation. arXiv preprint arXiv:1801.08640"},{"key":"10499_CR37","doi-asserted-by":"crossref","unstructured":"Toh Z, Wang W (2014) Dlirec: aspect term extraction and term polarity classification system. In: Proceedings of the 8th international workshop on semantic evaluation (SemEval 2014), pp 235\u2013240","DOI":"10.3115\/v1\/S14-2038"},{"issue":"4","key":"10499_CR38","first-page":"811","volume":"68","author":"KD Varathan","year":"2017","unstructured":"Varathan KD, Giachanou A, Crestani F (2017) Comparative opinion mining: a review. J Am Soc Inf Sci 68(4):811\u2013829","journal-title":"J Am Soc Inf Sci"},{"key":"10499_CR39","doi-asserted-by":"crossref","unstructured":"Wang H, Gao S, Yin P, Liu JNK (2017) Competitiveness analysis through comparative relation mining. Ind Manag Data Syst","DOI":"10.1108\/IMDS-07-2016-0284"},{"key":"10499_CR40","doi-asserted-by":"crossref","unstructured":"Wang Y, Huang M, Zhao L, et\u00a0al (2016) Attention-based lstm for aspect-level sentiment classification. In: Proceedings of the 2016 conference on empirical methods in natural language processing, pp 606\u2013615","DOI":"10.18653\/v1\/D16-1058"},{"key":"10499_CR41","unstructured":"Wang Y, Wang L, Li Y, He D, Liu TY (2013) A theoretical analysis of ndcg type ranking measures. In: Conference on learning theory, pp 25\u201354"},{"key":"10499_CR42","unstructured":"Xu K, Ba J, Kiros R, Cho K, Courville A, Salakhudinov R, Zemel R, Bengio Y (2015) Show, attend and tell: neural image caption generation with visual attention. In: International conference on machine learning, pp 2048\u20132057"},{"issue":"4","key":"10499_CR43","doi-asserted-by":"publisher","first-page":"743","DOI":"10.1016\/j.dss.2010.08.021","volume":"50","author":"K Xu","year":"2011","unstructured":"Xu K, Liao SS, Li J, Song Y (2011) Mining comparative opinions from customer reviews for competitive intelligence. Decis Support Syst 50(4):743\u2013754","journal-title":"Decis Support Syst"},{"issue":"4","key":"10499_CR44","first-page":"1","volume":"3","author":"Z Zhang","year":"2013","unstructured":"Zhang Z, Guo C, Goes P (2013) Product comparison networks for competitive analysis of online word-of-mouth. ACM Trans Manag Inf Syst (TMIS) 3(4):1\u201322","journal-title":"ACM Trans Manag Inf Syst (TMIS)"},{"key":"10499_CR45","doi-asserted-by":"crossref","unstructured":"Zhong S (2005) Efficient online spherical k-means clustering. In: Proceedings. 2005 IEEE international joint conference on neural networks, vol.\u00a05, pp 3180\u20133185. IEEE","DOI":"10.1109\/IJCNN.2005.1556436"},{"key":"10499_CR46","doi-asserted-by":"crossref","unstructured":"Zhou B, Khosla A, Lapedriza A, Oliva A, Torralba A (2016) Learning deep features for discriminative localization. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2921\u20132929","DOI":"10.1109\/CVPR.2016.319"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-021-10499-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11063-021-10499-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-021-10499-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,26]],"date-time":"2024-08-26T16:59:37Z","timestamp":1724691577000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11063-021-10499-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,23]]},"references-count":46,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2021,6]]}},"alternative-id":["10499"],"URL":"https:\/\/doi.org\/10.1007\/s11063-021-10499-6","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"type":"print","value":"1370-4621"},{"type":"electronic","value":"1573-773X"}],"subject":[],"published":{"date-parts":[[2021,3,23]]},"assertion":[{"value":"15 March 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 March 2021","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}