{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,24]],"date-time":"2024-07-24T06:40:16Z","timestamp":1721803216152},"reference-count":87,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Applied Soft Computing"],"published-print":{"date-parts":[[2021,7]]},"DOI":"10.1016\/j.asoc.2021.107347","type":"journal-article","created":{"date-parts":[[2021,3,30]],"date-time":"2021-03-30T23:18:14Z","timestamp":1617146294000},"page":"107347","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":6,"special_numbering":"C","title":["Ensemble summarization of bio-medical articles integrating clustering and multi-objective evolutionary algorithms"],"prefix":"10.1016","volume":"106","author":[{"given":"Chirantana","family":"Mallick","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-9886-1735","authenticated-orcid":false,"given":"Asit Kumar","family":"Das","sequence":"additional","affiliation":[]},{"given":"Weiping","family":"Ding","sequence":"additional","affiliation":[]},{"given":"Janmenjoy","family":"Nayak","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.asoc.2021.107347_b1","series-title":"Literature Survey for the Language and Statistics II course at CMU, Vol. 4","first-page":"57","article-title":"A survey on automatic text summarization","author":"Das","year":"2007"},{"key":"10.1016\/j.asoc.2021.107347_b2","series-title":"A Survey of Text Summarization Techniques","author":"Nenkova","year":"2012"},{"key":"10.1016\/j.asoc.2021.107347_b3","series-title":"2013 6th International Conference on Emerging Trends in Engineering and Technology","first-page":"109","article-title":"A survey of extractive and abstractive text summarization techniques","author":"Dalal","year":"2013"},{"key":"10.1016\/j.asoc.2021.107347_b4","series-title":"Query-based text summarization","author":"Kao","year":"2010"},{"key":"10.1016\/j.asoc.2021.107347_b5","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2019.05.004","article-title":"Graph-based clustering of extracted paraphrases for labelling crime reports","author":"Das","year":"2019","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.asoc.2021.107347_b6","series-title":"Clustering with similarity preserving","author":"Kang","year":"2019"},{"key":"10.1016\/j.asoc.2021.107347_b7","series-title":"2015 4th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO)(Trends and Future Directions)","first-page":"1","article-title":"A graph based clustering technique for tweet summarization","author":"Dutta","year":"2015"},{"key":"10.1016\/j.asoc.2021.107347_b8","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1016\/j.knosys.2018.09.009","article-title":"Low-rank kernel learning for graph-based clustering","volume":"163","author":"Kang","year":"2019","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.asoc.2021.107347_b9","series-title":"2011 11th International Conference on Intelligent Systems Design and Applications","first-page":"88","article-title":"Generalized louvain method for community detection in large networks","author":"De\u00a0Meo","year":"2011"},{"key":"10.1016\/j.asoc.2021.107347_b10","series-title":"2016 Third European Network Intelligence Conference (ENIC)","first-page":"61","article-title":"Dynamic clustering in social networks using louvain and infomap method","author":"Held","year":"2016"},{"issue":"2","key":"10.1016\/j.asoc.2021.107347_b11","doi-asserted-by":"crossref","first-page":"3336","DOI":"10.1016\/j.eswa.2008.01.039","article-title":"A simple and fast algorithm for K-medoids clustering","volume":"36","author":"Park","year":"2009","journal-title":"Expert Syst. Appl."},{"issue":"1","key":"10.1016\/j.asoc.2021.107347_b12","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevE.84.016108","article-title":"Penalized versions of the newman-girvan modularity and their relation to normalized cuts and k-means clustering","volume":"84","author":"Bolla","year":"2011","journal-title":"Phys. Rev. E"},{"issue":"2","key":"10.1016\/j.asoc.2021.107347_b13","doi-asserted-by":"crossref","first-page":"831","DOI":"10.1016\/j.patcog.2011.06.018","article-title":"GANC: Greedy agglomerative normalized cut for graph clustering","volume":"45","author":"Tabatabaei","year":"2012","journal-title":"Pattern Recognit."},{"issue":"3","key":"10.1016\/j.asoc.2021.107347_b14","first-page":"24","article-title":"A survey on k-mean clustering and particle swarm optimization","volume":"1","author":"Vora","year":"2013","journal-title":"Int. J. Sci. Modern Eng."},{"issue":"16\u201317","key":"10.1016\/j.asoc.2021.107347_b15","doi-asserted-by":"crossref","first-page":"3179","DOI":"10.1080\/03610926.2011.633729","article-title":"Centrality measures for text clustering","volume":"41","author":"Iezzi","year":"2012","journal-title":"Comm. Statist. Theory Methods"},{"issue":"2","key":"10.1016\/j.asoc.2021.107347_b16","doi-asserted-by":"crossref","first-page":"569","DOI":"10.1109\/TPWRD.2014.2325938","article-title":"Optimal placement and sizing of distributed generation via an improved nondominated sorting genetic algorithm II","volume":"30","author":"Sheng","year":"2014","journal-title":"IEEE Trans. Power Deliv."},{"issue":"3","key":"10.1016\/j.asoc.2021.107347_b17","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1109\/TEVC.2016.2592479","article-title":"A strength Pareto evolutionary algorithm based on reference direction for multiobjective and many-objective optimization","volume":"21","author":"Jiang","year":"2017","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"4","key":"10.1016\/j.asoc.2021.107347_b18","doi-asserted-by":"crossref","first-page":"524","DOI":"10.1109\/TEVC.2014.2350987","article-title":"Two_Arch2: An improved two-archive algorithm for many-objective optimization","volume":"19","author":"Wang","year":"2014","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"2","key":"10.1016\/j.asoc.2021.107347_b19","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1109\/TEVC.2018.2791283","article-title":"IGD indicator-based evolutionary algorithm for many-objective optimization problems","volume":"23","author":"Sun","year":"2018","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"3","key":"10.1016\/j.asoc.2021.107347_b20","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1109\/TR.2010.2057310","article-title":"Multi-objective approaches to optimal testing resource allocation in modular software systems","volume":"59","author":"Wang","year":"2010","journal-title":"IEEE Trans. Reliab."},{"key":"10.1016\/j.asoc.2021.107347_b21","series-title":"Music-Inspired Harmony Search Algorithm: Theory and Applications, Vol. 191","author":"Geem","year":"2009"},{"issue":"6","key":"10.1016\/j.asoc.2021.107347_b22","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","article-title":"MOEA\/D: a multiobjective evolutionary algorithm based on decomposition","volume":"11","author":"Zhang","year":"2007","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"7","key":"10.1016\/j.asoc.2021.107347_b23","doi-asserted-by":"crossref","first-page":"1075","DOI":"10.1109\/TPAMI.2005.149","article-title":"Structural semantic interconnections: a knowledge-based approach to word sense disambiguation","volume":"27","author":"Navigli","year":"2005","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"10.1016\/j.asoc.2021.107347_b24","first-page":"331","article-title":"Lexical semantic techniques for corpus analysis","volume":"19","author":"Pustejovsky","year":"1993","journal-title":"Comput. Linguist."},{"key":"10.1016\/j.asoc.2021.107347_b25","series-title":"Word Sense Disambiguation: Algorithms and Applications, Vol. 33","author":"Agirre","year":"2007"},{"key":"10.1016\/j.asoc.2021.107347_b26","series-title":"Natural language analyzing apparatus and method, and construction of a knowledge base for natural language analysis","author":"Nagao","year":"1995"},{"key":"10.1016\/j.asoc.2021.107347_b27","series-title":"Soft Computing in Data Analytics","first-page":"825","article-title":"Extractive summarization of a document using lexical chains","author":"Mallick","year":"2019"},{"issue":"9","key":"10.1016\/j.asoc.2021.107347_b28","doi-asserted-by":"crossref","first-page":"4158","DOI":"10.1016\/j.eswa.2013.12.042","article-title":"Extractive single-document summarization based on genetic operators and guided local search","volume":"41","author":"Mendoza","year":"2014","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.asoc.2021.107347_b29","series-title":"2012 IEEE 12th International Conference on Data Mining Workshops","first-page":"454","article-title":"OCCAMS\u2013an optimal combinatorial covering algorithm for multi-document summarization","author":"Davis","year":"2012"},{"key":"10.1016\/j.asoc.2021.107347_b30","series-title":"Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics","first-page":"927","article-title":"A new approach to improving multilingual summarization using a genetic algorithm","author":"Litvak","year":"2010"},{"key":"10.1016\/j.asoc.2021.107347_b31","series-title":"Soft Computing in Data Analytics","first-page":"137","article-title":"Graph-based text summarization using modified textrank","author":"Mallick","year":"2019"},{"key":"10.1016\/j.asoc.2021.107347_b32","series-title":"Emerging Technologies in Data Mining and Information Security","first-page":"179","article-title":"A graph based approach on extractive summarization","author":"Dutta","year":"2019"},{"key":"10.1016\/j.asoc.2021.107347_b33","series-title":"Intelligent Systems, 2004. Proceedings. 2004 2nd International IEEE Conference, Vol. 1","first-page":"40","article-title":"Automatic text summarization with neural networks","author":"Kaikhah","year":"2004"},{"key":"10.1016\/j.asoc.2021.107347_b34","series-title":"Bayesian query-focused summarization","author":"III","year":"2009"},{"key":"10.1016\/j.asoc.2021.107347_b35","series-title":"Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts of ACL 2011","first-page":"3:1","article-title":"Automatic summarization","author":"Nenkova","year":"2011"},{"issue":"1","key":"10.1016\/j.asoc.2021.107347_b36","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.artmed.2011.06.005","article-title":"A semantic graph-based approach to biomedical summarisation","volume":"53","author":"Plaza","year":"2011","journal-title":"Artif. Intell. Med."},{"key":"10.1016\/j.asoc.2021.107347_b37","unstructured":"P. Stenetorp, H. Soyer, S. Pyysalo, S. Ananiadou, T. Chikayama, Size (and domain) matters: Evaluating semantic word space representations for biomedical text, in: Proceedings of SMBM\u201912, 2012."},{"key":"10.1016\/j.asoc.2021.107347_b38","series-title":"Efficient estimation of word representations in vector space","author":"Mikolov","year":"2013"},{"key":"10.1016\/j.asoc.2021.107347_b39","series-title":"Unified medical language system (UMLS)","year":"2019"},{"issue":"2","key":"10.1016\/j.asoc.2021.107347_b40","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.artmed.2004.07.017","article-title":"Summarization from medical documents: a survey","volume":"33","author":"Afantenos","year":"2005","journal-title":"Artif. Intell. Med."},{"key":"10.1016\/j.asoc.2021.107347_b41","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1016\/j.jbi.2014.06.009","article-title":"Text summarization in the biomedical domain: a systematic review of recent research","volume":"52","author":"Mishra","year":"2014","journal-title":"J. Biomed. Inform."},{"key":"10.1016\/j.asoc.2021.107347_b42","series-title":"Pubmed central","year":"2019"},{"issue":"3","key":"10.1016\/j.asoc.2021.107347_b43","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1136\/jamia.2009.002733","article-title":"An overview of metamap: historical perspective and recent advances","volume":"17","author":"Aronson","year":"2010","journal-title":"J. Amer. Med. Inform. Assoc."},{"issue":"6","key":"10.1016\/j.asoc.2021.107347_b44","doi-asserted-by":"crossref","first-page":"462","DOI":"10.1016\/j.jbi.2003.11.003","article-title":"The interaction of domain knowledge and linguistic structure in natural language processing: interpreting hypernymic propositions in biomedical text","volume":"36","author":"Rindflesch","year":"2003","journal-title":"J. Biomed. Inform."},{"issue":"5","key":"10.1016\/j.asoc.2021.107347_b45","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1136\/jamia.2009.001560","article-title":"Mayo clinical text analysis and knowledge extraction system (cTAKES): architecture, component evaluation and applications","volume":"17","author":"Savova","year":"2010","journal-title":"J. Amer. Med. Inform. Assoc."},{"key":"10.1016\/j.asoc.2021.107347_b46","series-title":"BMC Bioinform.","first-page":"S4","article-title":"A coherent graph-based semantic clustering and summarization approach for biomedical literature and a new summarization evaluation method","volume":"8","author":"Yoo","year":"2007"},{"key":"10.1016\/j.asoc.2021.107347_b47","series-title":"Proceedings of the HLT-NAACL Workshop on Computational Lexical Semantics","first-page":"76","article-title":"Abstraction summarization for managing the biomedical research literature","author":"Fiszman","year":"2004"},{"key":"10.1016\/j.asoc.2021.107347_b48","series-title":"Development of a corpus for evidence based medicine summarisation","author":"Moll\u00e1","year":"2011"},{"key":"10.1016\/j.asoc.2021.107347_b49","series-title":"Proceedings of the 3rd Textgraphs Workshop on Graph-Based Algorithms for Natural Language Processing","first-page":"53","article-title":"Concept-graph based biomedical automatic summarization using ontologies","author":"Morales","year":"2008"},{"key":"10.1016\/j.asoc.2021.107347_b50","series-title":"Proceedings of the 2010 Workshop on Biomedical Natural Language Processing","first-page":"55","article-title":"Improving summarization of biomedical documents using word sense disambiguation","author":"Plaza","year":"2010"},{"key":"10.1016\/j.asoc.2021.107347_b51","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.artmed.2017.11.004","article-title":"Different approaches for identifying important concepts in probabilistic biomedical text summarization","volume":"84","author":"Moradi","year":"2018","journal-title":"Artif. Intell. Med."},{"key":"10.1016\/j.asoc.2021.107347_b52","series-title":"Proceedings of the 2006 ACM Symposium on Applied Computing","first-page":"180","article-title":"Biochain: lexical chaining methods for biomedical text summarization","author":"Reeve","year":"2006"},{"key":"10.1016\/j.asoc.2021.107347_b53","series-title":"Proceedings of the 15th ACM International Conference on Information and Knowledge Management","first-page":"604","article-title":"Concept frequency distribution in biomedical text summarization","author":"Reeve","year":"2006"},{"issue":"6","key":"10.1016\/j.asoc.2021.107347_b54","doi-asserted-by":"crossref","first-page":"1765","DOI":"10.1016\/j.ipm.2007.01.026","article-title":"The use of domain-specific concepts in biomedical text summarization","volume":"43","author":"Reeve","year":"2007","journal-title":"Inf. Process. Manage."},{"issue":"2","key":"10.1016\/j.asoc.2021.107347_b55","article-title":"A robust and adaptable summarization tool","volume":"49","author":"Saggion","year":"2008","journal-title":"Traitement Autom. Langues"},{"key":"10.1016\/j.asoc.2021.107347_b56","series-title":"Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics","first-page":"555","article-title":"Identifying non-explicit citing sentences for citation-based summarization","author":"Qazvinian","year":"2010"},{"key":"10.1016\/j.asoc.2021.107347_b57","series-title":"Pubmed medline dataset","year":"2019"},{"issue":"2","key":"10.1016\/j.asoc.2021.107347_b58","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1109\/TEVC.2008.925798","article-title":"Multiobjective optimization problems with complicated Pareto sets, MOEA\/D and NSGA-II","volume":"13","author":"Li","year":"2009","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.asoc.2021.107347_b59","series-title":"Pubmed open-access (OA) subset","year":"2019"},{"key":"10.1016\/j.asoc.2021.107347_b60","series-title":"MEDLINE XML repository","year":"2019"},{"key":"10.1016\/j.asoc.2021.107347_b61","series-title":"MeSH (medical subject headings)","year":"2019"},{"key":"10.1016\/j.asoc.2021.107347_b62","series-title":"NLTK: the natural language toolkit","author":"Loper","year":"2002"},{"key":"10.1016\/j.asoc.2021.107347_b63","series-title":"UMLS metathesaurus metamap","year":"2019"},{"key":"10.1016\/j.asoc.2021.107347_b64","series-title":"2018AB UMLS","year":"2019"},{"issue":"1","key":"10.1016\/j.asoc.2021.107347_b65","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1007\/s10844-014-0307-6","article-title":"Multi-view document clustering via ensemble method","volume":"43","author":"Hussain","year":"2014","journal-title":"J. Intell. Inf. Syst."},{"key":"10.1016\/j.asoc.2021.107347_b66","series-title":"Applications of Intelligent Optimization in Biology and Medicine","first-page":"267","article-title":"Medline text mining: an enhancement genetic algorithm based approach for document clustering","author":"Karaa","year":"2016"},{"issue":"1","key":"10.1016\/j.asoc.2021.107347_b67","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1007\/s13278-017-0484-8","article-title":"Attribute selection for improving spam classification in online social networks: a rough set theory-based approach","volume":"8","author":"Dutta","year":"2018","journal-title":"Soc. Netw. Anal. Min."},{"key":"10.1016\/j.asoc.2021.107347_b68","series-title":"Icml, Vol. 97","first-page":"35","article-title":"A comparative study on feature selection in text categorization","author":"Yang","year":"1997"},{"key":"10.1016\/j.asoc.2021.107347_b69","series-title":"2014 IEEE 38th Annual Computer Software and Applications Conference","first-page":"107","article-title":"Automated configuration bug report prediction using text mining","author":"Xia","year":"2014"},{"key":"10.1016\/j.asoc.2021.107347_b70","first-page":"1","article-title":"Relevant feature selection and ensemble classifier design using bi-objective genetic algorithm","author":"Das","year":"2019","journal-title":"Knowl. Inf. Syst."},{"key":"10.1016\/j.asoc.2021.107347_b71","series-title":"Icga","first-page":"416","article-title":"Genetic algorithms for multiobjective optimization: Formulationdiscussion and generalization","volume":"93","author":"Fonseca","year":"1993"},{"key":"10.1016\/j.asoc.2021.107347_b72","series-title":"Foundations of Genetic Algorithms, Vol. 1","first-page":"69","article-title":"A comparative analysis of selection schemes used in genetic algorithms","author":"Goldberg","year":"1991"},{"key":"10.1016\/j.asoc.2021.107347_b73","doi-asserted-by":"crossref","first-page":"883","DOI":"10.1109\/ACCESS.2017.2776295","article-title":"A parallel genetic algorithm with dispersion correction for HW\/SW partitioning on multi-core CPU and many-core GPU","volume":"6","author":"Hou","year":"2018","journal-title":"IEEE Access"},{"key":"10.1016\/j.asoc.2021.107347_b74","series-title":"International Conference on Swarm, Evolutionary, and Memetic Computing","first-page":"144","article-title":"Gene selection using multi-objective genetic algorithm integrating cellular automata and rough set theory","author":"Pati","year":"2013"},{"key":"10.1016\/j.asoc.2021.107347_b75","series-title":"SPEA2: Improving the strength Pareto evolutionary algorithm","author":"Zitzler","year":"2001"},{"key":"10.1016\/j.asoc.2021.107347_b76","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.entcs.2011.11.025","article-title":"Multiobjective harmony search algorithm proposals","volume":"281","author":"Ricart","year":"2011","journal-title":"Electron. Notes Theor. Comput. Sci."},{"issue":"2","key":"10.1016\/j.asoc.2021.107347_b77","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1177\/003754970107600201","article-title":"A new heuristic optimization algorithm: harmony search","volume":"76","author":"Geem","year":"2001","journal-title":"Simulation"},{"key":"10.1016\/j.asoc.2021.107347_b78","series-title":"Music-Inspired Harmony Search Algorithm","first-page":"1","article-title":"Harmony search as a metaheuristic algorithm","author":"Yang","year":"2009"},{"key":"10.1016\/j.asoc.2021.107347_b79","series-title":"Multiple Criteria Decision Analysis","first-page":"927","article-title":"Interactive nonlinear multiobjective optimization methods","author":"Miettinen","year":"2016"},{"key":"10.1016\/j.asoc.2021.107347_b80","doi-asserted-by":"crossref","unstructured":"K. Miettinen, Nonlinear multiobjective optimization Kluwer, Boston, MA, USA, 1999.","DOI":"10.1007\/978-1-4615-5563-6"},{"key":"10.1016\/j.asoc.2021.107347_b81","series-title":"Natural Language Processing with Python","first-page":"409","author":"Bird","year":"2009"},{"key":"10.1016\/j.asoc.2021.107347_b82","series-title":"Text summarization branches out, chapter ROUGE: A package for automatic evaluation of summaries","author":"Lin","year":"2004"},{"key":"10.1016\/j.asoc.2021.107347_b83","series-title":"2015 3rd International Conference on Signal Processing, Communication and Networking (ICSCN)","first-page":"1","article-title":"NLP based sentiment analysis on Twitter data using ensemble classifiers","author":"Kanakaraj","year":"2015"},{"key":"10.1016\/j.asoc.2021.107347_b84","series-title":"International Conference on Natural Language Processing","first-page":"205","article-title":"A mixed method lemmatization algorithm using a hierarchy of linguistic identities (HOLI)","author":"Ingason","year":"2008"},{"issue":"2","key":"10.1016\/j.asoc.2021.107347_b85","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1093\/biomet\/70.2.510","article-title":"A modified wilcoxon rank sum test for paired data","volume":"70","author":"Lam","year":"1983","journal-title":"Biometrika"},{"issue":"1","key":"10.1016\/j.asoc.2021.107347_b86","first-page":"58","article-title":"Fisher\u2019s exact test","volume":"25","author":"Connelly","year":"2016","journal-title":"Med. Nursing"},{"issue":"1","key":"10.1016\/j.asoc.2021.107347_b87","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/S0034-4257(01)00295-4","article-title":"Status of land cover classification accuracy assessment","volume":"80","author":"Foody","year":"2002","journal-title":"Remote Sens. Environ."}],"container-title":["Applied Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494621002702?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494621002702?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,5,25]],"date-time":"2024-05-25T03:14:19Z","timestamp":1716606859000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1568494621002702"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7]]},"references-count":87,"alternative-id":["S1568494621002702"],"URL":"https:\/\/doi.org\/10.1016\/j.asoc.2021.107347","relation":{},"ISSN":["1568-4946"],"issn-type":[{"value":"1568-4946","type":"print"}],"subject":[],"published":{"date-parts":[[2021,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Ensemble summarization of bio-medical articles integrating clustering and multi-objective evolutionary algorithms","name":"articletitle","label":"Article Title"},{"value":"Applied Soft Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.asoc.2021.107347","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"107347"}}