Dissertation > Excellent graduate degree dissertation topics show

Research on Feature Selection of Text Classification

Author: SongJiang
Tutor: XuMin
School: Nanjing University of Aeronautics and Astronautics
Course: Computer Science and Technology
Keywords: Text categorization Feature selection Vector Space Model TFIDF algorithm
CLC: TP391.1
Type: Master's thesis
Year: 2010
Downloads: 40
Quote: 1
Read: Download Dissertation

Abstract


With the development of computer technology and improvement of Internet technology, the number of documents is exponentially increased. How to effectively access the information people need has already become the question urgently awaited to be solved in the information processing domain. One of effective methods to management texts is to classify them,also called text classification. So the text categorization is an effective solution, which can help users to locate, organize and manage their information effectively.This paper firstly introduces the conception of text categorization and explains the process and difficulties in text classification. This thesis analyzes the essential technologies detailedly, such as pretreatment of text, text expression, weight computation and so on. However, the feature selection of text classification has always been a key and bottle-neck technology of text classification. So, the thesis is focused on feature selection algorithms. The thesis deeply researched and evaluated many texts feature selection algorithm. This paper proposes a new method TDE based on TFIDF by applying traditional feature item weighting function TFIDF to feature selection, combining the knowledge of information entropy. And we apply TDE to text classification. Also this paper discusses several general text classification methods. The dissertation analyzes and compares the advantages and disadvantages of those classification methods as well.Finally, the rules for evaluating text categorization performance are discussed in the dissertation. Experimental results show that the TDE is feasible compared with other traditional methods.

Related Dissertations

  1. Feature Extraction, Selection and Combination in Lipreading,TP391.41
  2. Research on Intrusion Detection Based on Feature Selection,TP393.08
  3. Research on Feature Extraction, Selection and Classification Algorithms for Pulmonary CAD,TP391.41
  4. Text filtering isolation technology - based research,TP393.08
  5. The Research and Implementation of Web Page Classification in Enterprise Search Engine,TP393.092
  6. Research of Key Technology of Anomaly Network Intrusion Detection Based on SVM,TP393.08
  7. Misuse Intrusion Detection Based on Weighted Feature Selection,TP393.08
  8. Hot Topic Detection and Hotness Evaluation from Financial BBS,TP393.094
  9. The Research of Intrusion Detection Based on Feature Selection,TP393.08
  10. Research on Adaptive Teaching and Research Information Recommendation Model,TP393.09
  11. Chinese Spam Filtering Based on SVM,TP393.098
  12. Research and Application of News Automatic Classification Technology Based on Support Vector Machines,TP391.1
  13. Web Spam Detection Based on Combination of Multiple Classifiers,TP18
  14. Application Research of Genetic Algorithm in Supporting Marketing of Forestry Enterprise,TP18
  15. Design and Implementation of Hydropower Fault Classifer Based on Support Vector Machine,TV738
  16. SAR Images Segmentation Based on Quantum Evolution Feature Selection Algorithm,TN957.52
  17. Study and Design of Focused Search Engine,TP391.3
  18. Research on Web Text Categorization Technology Oriented to Information Service,TP391.1
  19. Support Vector Classifier Machine Based on Feature Analysis,TP311.13
  20. Web Knowledge Service Oriented of Medical Information Classification Approach,TP391.1
  21. A Study of Personalized Search Based on Blog Content,TP391.3

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Text Processing
© 2012 www.DissertationTopic.Net  Mobile