Holy Grail of Hybrid Text Classification
Automatic management of ever increasing online digital data is a major challenge for computer science, which can be solved by using machine learning technique called automatic text classification. Automatic text classification is the process of assigning newly arrived text document to one or more predefined categories. Various feature selection and text classification techniques are available in machine learning literature. Various researchers have tried, to improve the accuracy of classification and reduce the time required, by combining different classification techniques and feature selection techniques under them. This generation of new technique by combination of existing techniques is known as Hybrid text classification. This paper aims to focus and discuss our study of the popular feature selection and text classification techniques available in machine learning literature at the same time discusses the various existing hybrid text classification techniques that are applied in the field of text document classification.
Keywords: Hybrid text classification, Feature Selection, K Nearest Neighbor, Decision Tree, Naive Bayes, Support Vector Machine, Neural Network, Centroid Based Classifier, Vector Space Model.
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ABOUT THE AUTHORS
Rupali P. Patil
Rupali P. Patil received her MSc (Computer Science) degree in 1998 from Department of Computer Sciences, North Maharashtra University Jalgaon, Jalgaon (India), M.Phil (Computer Science) degree in 2009 from YCMOU Nashik, Nashik (India) and currently she is pursuing her PhD. from North Maharashtra University Jalgaon, Jalgaon (India). She is having 8 years teaching experience. Presently she is working as Assistant Professor of Computer Science in the Department of Computer Science at S. S. V. P. S’s Lk. Dr. P. R. Ghogrey Science College, Dhule, Dhule (India). Her research interests include Data Mining, Natural language processing and Information retrieval.
R. P. Bhavsar
Dr. R. P. Bhavsar has finished his M.C.A. (1995) and Ph.D. degree (2016) in Computer Sciences from North Maharashtra University, Jalgaon (MS), India. He has experience of 21 years in the field of Computer Science which includes Academic (Lecturer, Reader, Associate Professor), Full time Research (Member, Technical Staff at Applied Artificial Intelligence Group, C-DAC, Pune) and Professional Experience (System Analyst at Computer Centre, NMU). Presently he is working as Associate Professor in Computer Sciences at North Maharashtra University, Jalgaon. His areas of interest primarily include natural Language Processing (NLP) with special focus on practical development of application like Machine Translation, Lexical resource creation and word/verb Morphology Generation tools, application of Machine Learning to NLP etc. He has delivered invited talks in various Workshops/Seminars and National Conferences on topics related to NLP. He was co-PI for TDIL, Deity’s ambitious consortia ANUVADKSH (formerly E-ILMT phase II) project of MoCIT, Govt. of India. NMU received funds of the tune of 77.50 lakhs. He is also coordinating research activities pertaining to NLP thrust area under UGC’s SAP (DRS-I) scheme (51 lakhs) at School of Computer Sciences, NMU, Jalgaon. He is life member of Linguistic Society of India.
B. V. Pawar
Prof. Dr B. V. Pawar received his B. E. (Production) degree in 1986 from VJTI, Mumbai University, Mumbai, (India) and M.Sc (Computer Science) degree in 1988 from Department of Computer Science, Mumbai University, Mumbai, (India). He received his Ph.D. degree in Computer Science in 2000 at North Maharashtra University, Jalgaon (India). He is having 27 years teaching experience. Presently he is working as Professor and Director, School of Computer Science at North Maharashtra University, Jalgaon (India). He is member of various professional bodies like CSI & LSI. He has been recognized as a Ph.D. guide for the subjects Computer Science, Information Technology & Computer Engineering by various Universities in the state of Maharashtra (India). Till date he has guided 07 students towards their Ph.D. degree. His research areas include pattern recognition, neural networks, Natural Language Processing, Web Technologies & Information Retrieval. His work has been published in various international and national journals and conferences. He has successfully executed major R&D and development projects of the tune of 3.5 crores which includes ANUVADKSH, SAP (DRS-I) scheme, UGC Infonet, NME-ICT, NMU CAN Network project etc.
Rupali P. Patil
Rupali P. Patil received her MSc (Computer Science) degree in 1998 from Department of Computer Sciences, North Maharashtra University Jalgaon, Jalgaon (India), M.Phil (Computer Science) degree in 2009 from YCMOU Nashik, Nashik (India) and currently she is pursuing her PhD. from North Maharashtra University Jalgaon, Jalgaon (India). She is having 8 years teaching experience. Presently she is working as Assistant Professor of Computer Science in the Department of Computer Science at S. S. V. P. S’s Lk. Dr. P. R. Ghogrey Science College, Dhule, Dhule (India). Her research interests include Data Mining, Natural language processing and Information retrieval.
R. P. Bhavsar
Dr. R. P. Bhavsar has finished his M.C.A. (1995) and Ph.D. degree (2016) in Computer Sciences from North Maharashtra University, Jalgaon (MS), India. He has experience of 21 years in the field of Computer Science which includes Academic (Lecturer, Reader, Associate Professor), Full time Research (Member, Technical Staff at Applied Artificial Intelligence Group, C-DAC, Pune) and Professional Experience (System Analyst at Computer Centre, NMU). Presently he is working as Associate Professor in Computer Sciences at North Maharashtra University, Jalgaon. His areas of interest primarily include natural Language Processing (NLP) with special focus on practical development of application like Machine Translation, Lexical resource creation and word/verb Morphology Generation tools, application of Machine Learning to NLP etc. He has delivered invited talks in various Workshops/Seminars and National Conferences on topics related to NLP. He was co-PI for TDIL, Deity’s ambitious consortia ANUVADKSH (formerly E-ILMT phase II) project of MoCIT, Govt. of India. NMU received funds of the tune of 77.50 lakhs. He is also coordinating research activities pertaining to NLP thrust area under UGC’s SAP (DRS-I) scheme (51 lakhs) at School of Computer Sciences, NMU, Jalgaon. He is life member of Linguistic Society of India.
B. V. Pawar
Prof. Dr B. V. Pawar received his B. E. (Production) degree in 1986 from VJTI, Mumbai University, Mumbai, (India) and M.Sc (Computer Science) degree in 1988 from Department of Computer Science, Mumbai University, Mumbai, (India). He received his Ph.D. degree in Computer Science in 2000 at North Maharashtra University, Jalgaon (India). He is having 27 years teaching experience. Presently he is working as Professor and Director, School of Computer Science at North Maharashtra University, Jalgaon (India). He is member of various professional bodies like CSI & LSI. He has been recognized as a Ph.D. guide for the subjects Computer Science, Information Technology & Computer Engineering by various Universities in the state of Maharashtra (India). Till date he has guided 07 students towards their Ph.D. degree. His research areas include pattern recognition, neural networks, Natural Language Processing, Web Technologies & Information Retrieval. His work has been published in various international and national journals and conferences. He has successfully executed major R&D and development projects of the tune of 3.5 crores which includes ANUVADKSH, SAP (DRS-I) scheme, UGC Infonet, NME-ICT, NMU CAN Network project etc.
