{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,31]],"date-time":"2025-08-31T10:23:20Z","timestamp":1756635800923,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","license":[{"start":{"date-parts":[[2016,3,4]],"date-time":"2016-03-04T00:00:00Z","timestamp":1457049600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2016,3,4]]},"DOI":"10.1145\/2905055.2905191","type":"proceedings-article","created":{"date-parts":[[2016,8,29]],"date-time":"2016-08-29T12:17:16Z","timestamp":1472473036000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":14,"title":["Automatic Text Classification in Information retrieval"],"prefix":"10.1145","author":[{"given":"Sanjay K.","family":"Dwivedi","sequence":"first","affiliation":[{"name":"Department of Computer Science, Babasaheb Bhimrao Ambedkar University, Lucknow, India"}]},{"given":"Chandrakala","family":"Arya","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Babasaheb Bhimrao Ambedkar University, Lucknow, India"}]}],"member":"320","published-online":{"date-parts":[[2016,3,4]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/505282.505283"},{"key":"e_1_3_2_1_2_1","unstructured":"Michalski R. S. Carbonell J. G. and Mitchell T. M. (Eds.). 2013. Machine learning: An artificial intelligence approach. Springer Science and Business Media.   Michalski R. S. Carbonell J. G. and Mitchell T. M. (Eds.). 2013. Machine learning: An artificial intelligence approach. Springer Science and Business Media."},{"key":"e_1_3_2_1_3_1","unstructured":"Mahinovs A. Tiwari A. Roy R. and Baxter D. 2007. Text classification method review.  Mahinovs A. Tiwari A. Roy R. and Baxter D. 2007. Text classification method review."},{"volume":"1810","volume-title":"Springer","author":"Mantaras D.","key":"e_1_3_2_1_4_1"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Kotsiantis S. B. Zaharakis I. and Pintelas P. 2007. Supervised machine learning: A review of classification techniques.  Kotsiantis S. B. Zaharakis I. and Pintelas P. 2007. Supervised machine learning: A review of classification techniques.","DOI":"10.1007\/s10462-007-9052-3"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/331499.331504"},{"key":"e_1_3_2_1_7_1","unstructured":"Lu T. T. 2009. Fundamental limitations of semi-supervised learning.  Lu T. T. 2009. Fundamental limitations of semi-supervised learning."},{"issue":"3","key":"e_1_3_2_1_8_1","first-page":"37","article-title":"Is Naive Bayes a good classifier for document classification?","volume":"5","author":"Ting S. L.","year":"2011","journal-title":"International Journal of Software Engineering and Its Applications"},{"volume-title":"Machine learning: ECML-98 (pp. 4--15)","author":"Lewis D. D.","key":"e_1_3_2_1_9_1"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Joachims T. 1998. Text categorization with support vector machines: Learning with many relevant features (pp. 137--142). Springer Berlin Heidelberg.   Joachims T. 1998. Text categorization with support vector machines: Learning with many relevant features (pp. 137--142). Springer Berlin Heidelberg.","DOI":"10.1007\/BFb0026683"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Auria L. and Moro R. A. 2008. Support vector machines (SVM) as a technique for solvency analysis.  Auria L. and Moro R. A. 2008. Support vector machines (SVM) as a technique for solvency analysis.","DOI":"10.2139\/ssrn.1424949"},{"volume-title":"Proceedings of the 1997 IEEE Workshop (pp. 276--285)","author":"Osuna E.","key":"e_1_3_2_1_12_1"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0306-4573(01)00037-1"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009715923555"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Platt J. 1999. Fast training of support vector machines using sequential minimal optimization. Advances in kernel methods---support vector learning 3.   Platt J. 1999. Fast training of support vector machines using sequential minimal optimization. Advances in kernel methods---support vector learning 3.","DOI":"10.7551\/mitpress\/1130.003.0016"},{"key":"e_1_3_2_1_16_1","unstructured":"Vapnik V. Golowich S. E. and Smola A. 1996. Support vector method for function approximation regression estimation and signal processing. InAdvances in Neural Information Processing Systems 9.  Vapnik V. Golowich S. E. and Smola A. 1996. Support vector method for function approximation regression estimation and signal processing. InAdvances in Neural Information Processing Systems 9."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/500141.500159"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022643204877"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Hssina B. Merbouha A. Ezzikouri H. and Erritali M. 2014. A comparative study of decision tree ID3 and C4. 5. International Journal of Advanced Computer Science and Applications 4(2).  Hssina B. Merbouha A. Ezzikouri H. and Erritali M. 2014. A comparative study of decision tree ID3 and C4. 5. International Journal of Advanced Computer Science and Applications 4(2).","DOI":"10.14569\/SpecialIssue.2014.040203"},{"volume-title":"WSS","year":"2003","author":"Fanguy R.","key":"e_1_3_2_1_20_1"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.14257\/ijdta.2014.7.1.06"},{"key":"e_1_3_2_1_22_1","unstructured":"Deepajothi S. and Selvarajan S. 2012. A Comparative Study of Classification Techniques On Adult Data Set. In International Journal of Engineering Research and Technology (Vol. 1 No. 8 (October-2012)). ESRSA Publications.  Deepajothi S. and Selvarajan S. 2012. A Comparative Study of Classification Techniques On Adult Data Set. In International Journal of Engineering Research and Technology (Vol. 1 No. 8 (October-2012)). ESRSA Publications."},{"key":"e_1_3_2_1_23_1","unstructured":"UCI Machine Learning Repository http:\/\/archive.ics.uci.edu\/ml\/.  UCI Machine Learning Repository http:\/\/archive.ics.uci.edu\/ml\/."},{"volume-title":"Data Mining, 2003. ICDM 2003. Third IEEE International Conference on (pp. 553--556)","author":"Huang J.","key":"e_1_3_2_1_24_1"},{"volume-title":"Proceedings of the world congress on engineering (Vol. 1).","author":"Dogan N.","key":"e_1_3_2_1_25_1"}],"event":{"name":"ICTCS '16: Second International Conference on Information and Communication Technology for Competitive Strategies","acronym":"ICTCS '16","location":"Udaipur India"},"container-title":["Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2905055.2905191","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2905055.2905191","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:38:50Z","timestamp":1750221530000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2905055.2905191"}},"subtitle":["A Survey"],"short-title":[],"issued":{"date-parts":[[2016,3,4]]},"references-count":25,"alternative-id":["10.1145\/2905055.2905191","10.1145\/2905055"],"URL":"https:\/\/doi.org\/10.1145\/2905055.2905191","relation":{},"subject":[],"published":{"date-parts":[[2016,3,4]]},"assertion":[{"value":"2016-03-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}