Text Classification using Data Mining and Machine Learning Techniques: A Brief Review

Authors(4) :-Diksha Kose, Mayuri Harankhede, Shivani Shukla, Prof S.W.Mohod

Text classification has grown into more significant in managing and organizing the text data due to tremendous growth of online information. It does classification of documents in to fixed number of predefined categories. Rule based approach and Machine learning approach are the two ways of text classification. In rule based approach, classification of documents is done based on manually defined rules. In Machine learning based approach, classification rules or classifier are defined automatically using example documents. It has higher recall and quick process. This paper shows an investigation on text classification utilizing different machine learning techniques.

Authors and Affiliations

Diksha Kose
Department of Computer Engineering Bapurao Deshmukh College of Engineering Wardha, Maharashtra, India
Mayuri Harankhede
Department of Computer Engineering Bapurao Deshmukh College of Engineering Wardha, Maharashtra, India
Shivani Shukla
Department of Computer Engineering Bapurao Deshmukh College of Engineering Wardha, Maharashtra, India
Prof S.W.Mohod
Department of Computer Engineering Bapurao Deshmukh College of Engineering Wardha, Maharashtra, India

Text Classification, Machine Learning, Multiview Boosting, cMFDR, Visual Classifiers, Text Segmentation

  1. C.L.Liu, W.H.Hsaio, C.H.Lee, T.H.Chang, T.H.Kuo, "Semi-Supervised Text Classification with Universum Learning", IEEE Trans. on Cybernetics, Vol.46, Issue.2, P.462- 473, 2016.
  2. J.Peng, A.J.Aved, G.Seetharaman, K.Palaniappan, "Multiview Boosting With Information Propagation for Classification", IEEE Trans. on Neural Networks and Learning Systems, 2017.
  3. F.Zhuang, P.Luo, C.Du, Q.He, Z.Shi, H.Xiong, "Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification" IEEE Trans. on Cybernetics, Vol.44, Issue.7, PP.1191-1203, 2014.
  4. R.C.P.Fragoso, R.H.W.Pinheiro, G.D.C.Cavalcanti, "A method for automatic determination of the feature vector size for text categorization", 5th Brazilian Con. on Intelligent Systems, 2016.
  5. J.A.Otaibi, Z.Safi, A.Hassaine, F.Islam and A.jaoua, "Machine Learning and Conceptual Reasoning for Inconsistency Detection", IEEE Access, 2017, Vol.5, PP.338-346.
  6. S.Baccianella, A.Esuli, F.Sebastiani, "Feature Selection for Ordinal Text Classification", Neural Computation, Vol.26, Issue.3, Pages.557-591, 2014.
  7. B.Zhang, A.Marin, B.Hutchinson, M.Ostendorf, "Learning Phrase Patterns for Text Classification", IEEE Transactions on Audio, Speech, and Language Processing, Vol.21, Issue.6, PP.1180-1189, 2013.
  8. J.Y.Jiang, R.J.Liou, S.J.Lee, "A Fuzzy Self-Constructing Feature Clustering Algorithm for Text Classification", IEEE Transactions on Knowledge and Data Engineering, Vol.23, Issue.3, PP.335 - 349, 2011.
  9. C.Silva, U.Lotric, B.Ribeiro, A.Dobnikar, "Distributed Text Classification With an Ensemble Kernel-Based Learning Approach", IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) Vol.40, Issue.3, PP.287 - 297, 2010.
  10. Y.Tang, & X.Wu, "Scene Text Detection and Segmentation based on Cascaded Convolution Neural Networks", IEEE Transactions on Image Processing, 2017, Vol.26, Issue.3, PP.1509 - 1520.
  11. M.Elhoseiny, A.Elgammal & B.Saleh, "Write a Classifier: Predicting Visual Classifiers from Unstructured Text", IEEE Trans. on Pattern Analysis and Machine Intelligence, 2017, Vol.39, Issue.12, PP.2539 - 2553.

Publication Details

Published in : Volume 4 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 356-360
Manuscript Number : IJSRSET1844132
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Diksha Kose, Mayuri Harankhede, Shivani Shukla, Prof S.W.Mohod, " Text Classification using Data Mining and Machine Learning Techniques: A Brief Review, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 4, pp.356-360, March-April-2018.
Journal URL : http://ijsrset.com/IJSRSET1844132

Article Preview

Follow Us

Contact Us