Dissertation > Excellent graduate degree dissertation topics show

The Key Technology Research on Internet Short-Text Information Classification

Author: ChaiChunMei
Tutor: LiXiang
School: Shanghai Jiaotong University
Course: Communication and Information System
Keywords: Short-text KNN Algorithm Text Classification Natural Language
CLC: TP391.1
Type: Master's thesis
Year: 2009
Downloads: 677
Quote: 18
Read: Download Dissertation

Abstract


This paper makes relatively deep discussion in the field of Internet short-text information classification. By combining the text classification based on the improved KNN algorithm, making modification to traditional text classification, the accurate and universality of the internet short-text information classification has been improved.At the first part, the feature of short-text information is discussed. Compared with ordinary text, it has some distinct features. Short-text which exists includes information which appears frequently on BBS/Blog in internet, that is, the dapper main note and reply on BBS/Blog and so on. Owing to this, this paper mainly research on the short-text which appears frequently on the BBS/Blog at present. A good many methods don’t have an acceptable effect on the short-text information classification, that is, it can’t classify the short-text effectively, so that the research on classification algorithm, which aimed at the short-text, has definite theoretical guidance significance. Owing to this, this paper brings forward a classification technology, which implements the information intelligence classification on Internet media based on the improved KNN algorithm, apply to short-text or disperse-text on internet, that is, mainly apply to the dapper main note and reply on BBS/Blog and so on.Followed, the traditional text classification is discussed. It turns back to the achievement in the field of text classification. It lists the basic research in the areas of text classification, text participle, text expression, feature selection and classification algorithm, etc. Moreover, it points out that research on text information classification will be an important development direction with the development of technology.On the basis of these research works, this paper makes detailed explanation to the classification algorithm. At present, a good many methods don’t have an acceptable effect on the short-text information classification, Owing to this, through analyze the feature of the short-text seriously, this paper consider that the combination of classification based on the improved KNN algorithm and weight settings which based on semantic is one of the best solutions to this problem. By experimental verification, this solution is proved that it can do the short-text classification effectively, and then establish intelligence classification system.With the continuous development of the technology, we can believe that, it has momentous significance for the task of the surveillance and management of network and leading the public to use traditional text classification algorithm to carry out the intelligence classification of the short-text information that based on the natural language comprehension field.

Related Dissertations

  1. Word Sense Disambiguation Corpus Automatic Acquisition,TP391.1
  2. Research on Text Classification Based on Biomimetic Pattern Recongnition,TP391.1
  3. Tourism Comments on the Internet’s Semantic Analysis and Usefulness Research,TP391.1
  4. Research on Semantic Role Labeling for Chinese Nominal Predicates,TP391.1
  5. Financial Index Forecast Based on Data Mining,F830
  6. Term Weight-Based Chinese Text Classification Algorithm,TP391.1
  7. Long text auxiliary short text clustering method of knowledge transfer,TP391.1
  8. Research on Application of Fuzzy Theory in Text Classification,O159
  9. Spam messages based on ensemble learning multi-level classification technology research,TN929.53
  10. Automatic text classifier Network Design and Implementation,TP391.1
  11. Research and Implementation of Data Cleaning Key Technology Oriented Web Text,TP391.1
  12. Studies of Query Expansion Based on Semantic Dictionary and Local Analysis,TP391.3
  13. Research on Automatic Classification Methods of Enterprise Business Scope,TP391.1
  14. Research of BBS User Evaluation System Based on Data Mining,TP311.13
  15. Android-based spam messages processing system research and design,TP391.1
  16. A Study on GM and Its Functions in ESD,H05
  17. Nearest Neighbor Queries road network space technology,TP311.13
  18. Italian group based text classification method,TP391.1
  19. SMS User Interest Hierarchy Algorithm Based on Text Classification Algorithm,TP391.1
  20. Gender -based classification of text mining,TP391.1
  21. Structured data of natural language interface technology,TP311.13

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