{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T19:10:04Z","timestamp":1775329804986,"version":"3.50.1"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030010539","type":"print"},{"value":"9783030010546","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,11,9]],"date-time":"2018-11-09T00:00:00Z","timestamp":1541721600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-01054-6_41","type":"book-chapter","created":{"date-parts":[[2018,11,8]],"date-time":"2018-11-08T09:47:05Z","timestamp":1541670425000},"page":"567-578","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Performance Comparison of Popular Text Vectorising Models on Multi-class Email Classification"],"prefix":"10.1007","author":[{"given":"Ritwik","family":"Kulkarni","sequence":"first","affiliation":[]},{"given":"Merc\u00e8","family":"Vintr\u00f3","sequence":"additional","affiliation":[]},{"given":"Stelios","family":"Kapetanakis","sequence":"additional","affiliation":[]},{"given":"Michele","family":"Sama","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,11,9]]},"reference":[{"issue":"4","key":"41_CR1","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1561\/1500000006","volume":"1","author":"Gordon V. Cormack","year":"2008","unstructured":"Cormack, G.V., et al.: Email spam filtering: a systematic review. Found. Trends\u00ae Inf. Retrieval 1(4), 335\u2013455 (2008)","journal-title":"Foundations and Trends\u00ae in Information Retrieval"},{"key":"41_CR2","doi-asserted-by":"crossref","unstructured":"Youn, S., McLeod, D.: A comparative study for email classification. In: Advances and Innovations in Systems, Computing Sciences and Software Engineering, pp. 387\u2013391 (2007)","DOI":"10.1007\/978-1-4020-6264-3_67"},{"key":"41_CR3","doi-asserted-by":"crossref","unstructured":"Liu, S., Lee, I.: A hybrid sentiment analysis framework for large email data. In: 2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), pp. 324\u2013330. IEEE (2015)","DOI":"10.1109\/ISKE.2015.91"},{"key":"41_CR4","unstructured":"L\u00ea, T., L\u00ea, Q.: The nature of learners\u2019 email communication. In: International Conference on Computers in Education, Proceedings, pp. 468\u2013471. IEEE (2002)"},{"key":"41_CR5","unstructured":"Cohen, W.W., Carvalho, V.R., Mitchell, T.M.: Learning to classify email into \u201cspeech acts\u201d. In: EMNLP, vol. 4, pp. 309\u2013316 (2004)"},{"key":"41_CR6","unstructured":"Kiritchenko, S., Matwin, S.: Email classification with co-training. In: Proceedings of the 2011 Conference of the Center for Advanced Studies on Collaborative Research, pp. 301\u2013312. IBM Corp. (2011)"},{"issue":"5","key":"41_CR7","doi-asserted-by":"publisher","first-page":"1385","DOI":"10.1007\/s00726-010-0595-2","volume":"39","author":"A Anand","year":"2010","unstructured":"Anand, A., Pugalenthi, G., Fogel, G.B., Suganthan, P.: An approach for classification of highly imbalanced data using weighting and undersampling. Amino acids 39(5), 1385\u20131391 (2010)","journal-title":"Amino acids"},{"issue":"5","key":"41_CR8","first-page":"1890","volume":"3","author":"AK Sharma","year":"2011","unstructured":"Sharma, A.K., Sahni, S.: A comparative study of classification algorithms for spam email data analysis. Int. J. Comput. Sci. Eng. 3(5), 1890\u20131895 (2011)","journal-title":"Int. J. Comput. Sci. Eng."},{"key":"41_CR9","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1007\/978-3-540-30115-8_22","volume-title":"Machine Learning: ECML 2004","author":"Bryan Klimt","year":"2004","unstructured":"Klimt, B., Yang, Y.: The enron corpus: a new dataset for email classification research. In: Machine learning: ECML 2004, pp. 217\u2013226 (2004)"},{"issue":"3","key":"41_CR10","doi-asserted-by":"publisher","first-page":"741","DOI":"10.1016\/j.csda.2011.09.023","volume":"56","author":"JC Gomez","year":"2012","unstructured":"Gomez, J.C., Moens, M.-F.: PCA document reconstruction for email classification. Comput. Stat. Data Anal. 56(3), 741\u2013751 (2012)","journal-title":"Comput. Stat. Data Anal."},{"issue":"1","key":"41_CR11","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.jksuci.2014.03.014","volume":"27","author":"I Alsmadi","year":"2015","unstructured":"Alsmadi, I., Alhami, I.: Clustering and classification of email contents. J. King Saud Univ.-Comput. Inf. Sci. 27(1), 46\u201357 (2015)","journal-title":"J. King Saud Univ.-Comput. Inf. Sci."},{"key":"41_CR12","unstructured":"Salton, G., McGill, M.J.: Introduction to modern information retrieval (1986)"},{"key":"41_CR13","unstructured":"Huang, P.-S., Urbana, N.M.A., He, X., Gao, J., Deng, L., Acero, A., Heck, L.: Learning deep structured semantic models for web search using clickthrough data. In: The 22nd ACM International Conference on Conference on Information and Knowledge Management, pp. 2333\u20132338 (2013). http:\/\/dl.acm.org\/citation.cfm?id=2505665"},{"issue":"6","key":"41_CR14","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1002\/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9","volume":"41","author":"S Deerwester","year":"1990","unstructured":"Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T.K., Harshman, R.: Indexing by latent semantic analysis. J. Am. Soc. Inf. Sci. 41(6), 391 (1990)","journal-title":"J. Am. Soc. Inf. Sci."},{"key":"41_CR15","unstructured":"Saeidi, M., Kulkarni, R., Togia, T., Sama, M.: The effect of negative sampling strategy on capturing semantic similarity in document embeddings. In: Proceedings of the 2nd Workshop on Semantic Deep Learning (SemDeep-2), pp. 1\u20138 (2017)"},{"key":"41_CR16","doi-asserted-by":"crossref","unstructured":"Conneau, A., Kiela, D., Schwenk, H., Barrault, L., Bordes, A.: Supervised learning of universal sentence representations from natural language inference data. arXiv preprint arXiv:1705.02364 (2017)","DOI":"10.18653\/v1\/D17-1070"},{"key":"41_CR17","unstructured":"FacebookResearch. Infersent pre-trained model. https:\/\/github.com\/facebookresearch\/InferSent"},{"key":"41_CR18","doi-asserted-by":"crossref","unstructured":"Kim, Y.: Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882 (2014)","DOI":"10.3115\/v1\/D14-1181"},{"key":"41_CR19","unstructured":"Zhang, X., Zhao, J., LeCun, Y.: Character-level convolutional networks for text classification. In: Advances in Neural Information Processing Systems, pp. 649\u2013657 (2015)"},{"key":"41_CR20","unstructured":"Kingma, D., Ba, J.: Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"key":"41_CR21","doi-asserted-by":"crossref","unstructured":"Graves, A., et al.: Supervised Sequence Labelling with Recurrent Neural Networks, vol. 385. Springer (2012)","DOI":"10.1007\/978-3-642-24797-2"},{"issue":"5","key":"41_CR22","doi-asserted-by":"publisher","first-page":"602","DOI":"10.1016\/j.neunet.2005.06.042","volume":"18","author":"A Graves","year":"2005","unstructured":"Graves, A., Schmidhuber, J.: Framewise phoneme classification with bidirectional LSTM and other neural network architectures. Neural Netw. 18(5), 602\u2013610 (2005)","journal-title":"Neural Netw."},{"key":"41_CR23","unstructured":"Weston, J., Chopra, S., Bordes, A.: Memory networks. arXiv preprint arXiv:1410.3916 (2014)"},{"key":"41_CR24","unstructured":"Sukhbaatar, S., Weston, J., Fergus, R., et al.: End-to-end memory networks. In: Advances in Neural Information Processing Systems, pp. 2440\u20132448 (2015)"}],"container-title":["Advances in Intelligent Systems and Computing","Intelligent Systems and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-01054-6_41","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T00:28:30Z","timestamp":1775262510000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-01054-6_41"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11,9]]},"ISBN":["9783030010539","9783030010546"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-01054-6_41","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"value":"2194-5357","type":"print"},{"value":"2194-5365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,11,9]]},"assertion":[{"value":"IntelliSys","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Proceedings of SAI Intelligent Systems Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"London","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"intellisys2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/saiconference.com\/IntelliSys2018\/CallforPapers","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}