Document Clustering Using TextRank and Wikipedia Based Semantic Analyser

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dc.contributor.authorSajid, Yemin
dc.contributor.authorIslam, Md. Ariful
dc.date.accessioned2020-10-22T14:26:01Z
dc.date.available2020-10-22T14:26:01Z
dc.date.issued2018-11-15
dc.descriptionSupervised by Prof. Dr. Abu Raihan Mostafa Kamalen_US
dc.identifier.citationCui, Weiwei, et al. “TextFlow: Towards Better Understanding of Evolving Topics in Text.” IEEE Transactions on Visualization and Computer Graphics, vol. 17, no. 12, 2011, pp. 2412–2421., doi:10.1109/tvcg.2011.239. Hasan, Kazi Saidul, and Vincent Ng. “Automatic Keyphrase Extraction: A Survey of the State of the Art.” Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2014, doi:10.3115/v1/p14-1119. Huang, Anna, et al. “Clustering Documents Using a Wikipedia-Based Concept Representation.” Advances in Knowledge Discovery and Data Mining Lecture Notes in Computer Science, 2009, pp. 628–636., doi:10.1007/978-3-642-01307-2_62. Kang, Yin, et al. “An Integrated Method for Hierarchy Construction of Domain-Specific Terms.” 2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS), 2014, doi:10.1109/icis.2014.6912181. Kaur, Bhavneet, and Sushma Jain. “Keyword Extraction Using Machine Learning Approaches.” 2017 3rd International Conference on Advances in Computing,Communication & Automation (ICACCA) (Fall), 2017, doi:10.1109/icaccaf.2017.8344699. Kulathunga, Chalitha, and D.d. Karunaratne. “An Ontology-Based and Domain Specific Clustering Methodology for Financial Documents.” 2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer), 2017, doi:10.1109/icter.2017.8257786. Merrouni, Zakariae Alami, et al. “Automatic Keyphrase Extraction: An Overview of the State of the Art.” 2016 4th IEEE International Colloquium on Information Science and Technology (CiSt), 2016, doi:10.1109/cist.2016.7805062. Puustjarvi, J., and L. Puustjarvi. “Using Semantic Web Technologies in Visualizing Medicinal Vocabularies.” 2008 IEEE 8th International Conference on Computer and Information Technology Workshops, 2008, doi:10.1109/cit.2008.workshops.19. Rose, Stuart, et al. “Automatic Keyword Extraction from Individual Documents.” Text Mining, Apr. 2010, pp. 1–20., doi:10.1002/9780470689646.ch1. Shah, Neepa, and Sunita Mahajan. “Semantic Based Document Clustering: A Detailed Review.” International Journal of Computer Applications, vol. 52, no. 5, 2012, pp. 42–52., doi:10.5120/8202-1598. Song, Yangqiu, et al. “Automatic Taxonomy Construction from Keywords via Scalable Bayesian Rose Trees.” IEEE Transactions on Knowledge and Data Engineering, vol. 27, no. 7, Jan. 2015, pp. 1861–1874., doi:10.1109/tkde.2015.2397432. Zhao, Dexin, et al. “Keyword Extraction for Social Media Short Text.” 2017 14th Web Information Systems and Applications Conference (WISA), 2017, doi:10.1109/wisa.2017.12. Gabrilovich, Evgeniy, and Shaul Markovitch. "Computing semantic relatedness using wikipedia-based explicit semantic analysis." In IJcAI, vol. 7, pp. 1606-1611. 2007.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/553
dc.language.isoenen_US
dc.publisherDepartment of Computer Science and Engineering, Islamic University of Technology, Board Bazar, Gazipur, Bangladeshen_US
dc.titleDocument Clustering Using TextRank and Wikipedia Based Semantic Analyseren_US
dc.typeThesisen_US

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