The week's pick
Reseach Article
Feature based Text Classification using Application Term Set
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 52 - Number 10 |
| Year of Publication: 2012 |
| Authors: K. Nirmala, M. Pushpa |
10.5120/8235-1439
|
K. Nirmala, M. Pushpa . Feature based Text Classification using Application Term Set. International Journal of Computer Applications. 52, 10 ( August 2012), 1-3. DOI=10.5120/8235-1439
Abstract
In the present world of information, text classification is a more challenging process due to the larger number of training cases and feature set present in text data. One of the most difficult tasks in the text classification problem is high dimensionality of the feature space. As many real world text classifications are not modeled or too difficult to model, this paper aims at the real world text classification approach or model based on one of the properties of David Merrill's First principles of Instruction (FPI). The Objective is to introduce a method to improve text classifications effectiveness, efficiency and accuracy. In this methodology we categorizes the text using a pre-defined category group by providing them with the proper training set based on the feature of Application phase in FPI. The algorithm involves the Parsing, text categorization and text analysis.
References
- Arun K. Pujari "Data mining Techniques", Universities Press(India) Private Ltd.
- Amershi, S. , Conati, C. (2006) Automatic Recognition of Learner Groups in Exploratory Learning Environments. Proceedings of ITS 2006, 8th International Conference on Intelligent Tutoring System.
- Merceron, A. , Yacef,K. (2008) Interestingness Measures for Association Rules in Educational Data. Proceeding of the First International Conference on Educational Data mining.
- Vikram pudi & P. Radha Krishna . "Data Mining"
- Salton G, McGill M. Introduction to modern Information Retrieval, McGrawHill,1983
- Tennyson R. , Schott F. Seel N. , Dijkstra S. (1997) Instructional Design: International perspective: Theory, Research & models. (Vol1) Mahwah,NJ: Lawrence Erlbaum Associates.
- Educ INF Technol(2009) 14:105-126 DOI 10. 1007/s10639-008-9078-4 Categorizing computer science education research. Mike Jay, Jane Sinclair, Shanghua sun, Jirarat Sitthiworachart, Javier Lopez, Conzalez
- Manisha Pravin Mali, Mohammad Atique, "A review of Text Classification using Fuzzy logic", Proceeding of the International conference on Mathematics in Engineering and Business Management, Vol. 2, pp. 324-329, March 2012.
- Sadanandam Manchala1, D. Chandra Mohan & A. Nagesh "Word and Sentence Level Emotion Analyzation in Telugu Blog and News" , International Journal of Computer Science, Engineering and Applications (IJCSEA) Vol. 2, No. 3, June 2012 (pp. 184-197)
- S. Saraswathi "Design of Textual Presentation from online information using hybrid approach", ICTACT Journal on Soft Computing, Oct 2010, Vol. 01,Issue 02, ISSN:0976-6561(pp. 105 -112)
- http://lvk. cs. msu. su/~bruzz/articles/classification/ lewis94comparison. pdf
- http://www. eurojournals. com/ejsr_22_2_10. pdf
- http://www. personal. psu. edu/users/y/z/yzx106/INSYS525/FirstPrinciple. html
- Moodle http://moodle. ord/last consulted march. 02. 2008
- http://www. ibm. com/developerworks /data/techarticle/ dm_0809sigh/index. html
- http://aclweb. org/anthology-new/C/C00/C00- 1066. pdf
- http://nlp. stanford. edu/IR-book/pdf/13bayes. pdf
- Moore, A. (2005) Statistical Data mining Tutorials. http://www. autonlab. org/tutorial/. Retrieved June27,2008
- http://en. wikipedia. org/wiki
- http://lilu. fcim. utm. md/Word_letter_compres. pdf
- http://nlp. stanford. edu/IR-book/html/htmledition/ feature-selection-1. html
- http://www. ml. cmu. edu/research/dap-papers/ghani_ecoc-report. pdf
Index Terms
Keywords