Dissertation > Excellent graduate degree dissertation topics show

Research on Identifying Comments Spam for Blog Comments

Author: DengBingNa
Tutor: YuanFang；WangZuo
School: Hebei University
Course: Applied Computer Technology
Keywords: Blog Spam Comments Parasynonyms Keywords Similarity Cosine Similarity
CLC: TP393.092
Type: Master's thesis
Year: 2011
Downloads: 111
Quote: 0
Read: Download Dissertation

Abstract


Blog itself has the characteristics of free, freedom, and share, so a large number of spam comments which include the information of advertising, hyperlinks, abusive or defamatory etc. appear in blog. These spam comments bring inconvenience to read comments and interaction each other for network users, and also affect mining the content of the comments.Our paper make spam comments identify for the comments in blog area, the main works include the following aspects:When identifying the comments, taking into account the length of comments may be long or short, if identify the short reviews which only contains common net words use the method of comparing the similarity of comments and articles, it is easy to identify the normal short comment as spam, so the paper takes different methods to identify the comments. To the short comments, we compare the number of garbage words and normal words in the short comments to determine the type of the short comments, and filter the short spam comments.Identifying the long comments, we improve the traditional cosine similarity formula, bringing near relationship between the words, the word’s location information and keywords similarity into the traditional formula, so that make up the shortage of the traditional formula which does not recognize the near-words. At the same time, taking into account the correlation of the keywords and topics will be change, we propose to use the above improved formula to identify the longer comments k rounds. Every round of identification, we combine with legitimate comments and the information of near-words to adjust the weight of keywords, so that reflect the degree of correlation between keywords and topics; selecting near-words and high-frequency words from legitimate comments to extend the keywords, so that adapt to the diversity of topics.Finally, after identify all the comments, we use usually common net words and update keywords to filter the identified spam comments secondly, so reduce the probability of legal reviews which were identified as spam.Experimental results show that our method can improve the accuracy and the recall in identifying comments spam.

Related Dissertations

  1. Micro-blog: An Illusion of the Discourse of Grass Roots,G206
  2. Research on How to Improve the English Reading Ability of Secondary Vocational School Students with the Aid of Blog,G633.41
  3. Blog Development and the profit model of,F49
  4. The Phenomenon of Network Public Assembling in Micro Blog,G206
  5. Research on Sentiment Orientation Analysis of Blog Article Based on Blog Search,TP391.1
  6. Volterra type operators in some function spaces on boundedness and compactness,O177
  7. The virtual community and its micro- blog \,G206
  8. Propagation characteristics of micro-blog and social impact analysis,G206
  9. Chinese micro- blog development difficulties and Strategy,G206
  10. Based on the development of micro- content news,G206
  11. Micro- blog marketing information online reviews and forwarding the impact on consumer attitudes,F274;F224
  12. Based on the author 's reputation analysis blog,TP393.092
  13. Based on the MVC design pattern blog system design and implementation,TP311.52
  14. Micro- blog real-time tracking and retrieval topics related research,TP393.092
  15. The Research about the Operation and the Practice of Chinese E-Governance,G206.3
  16. Vulgarity as Resistance Online in China,H109.4
  17. The Research on Blog-based Teachers’ Teaching Reflection,G434
  18. Internet the new political alternative democratic,G206
  19. Study on the Current Situation and Development Tendency of Sports Micro-Blog in China,G206
  20. Research of Media Blog’s Dissemination Value and Application Methods,G206
  21. Text- based English blog space analysis of emotion,TP391.1

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Computer network > General issues > The application of computer network > Web browser
© 2012 www.DissertationTopic.Net  Mobile