Skip to main content
SpringerLink
Log in

Application of Text Data Mining to Education in Long-Distance

  • Conference paper
  • First Online:
Computer, Informatics, Cybernetics and Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 107))

  • 751 Accesses

Abstract

Based on Web technology and Text Data Mining, focusing on Personalized service of Long-distance Education, this chapter aims to apply Content Mining Algorithm into Personalized recommendation of learning content, use the simulation results to verify the effectiveness of the fusion algorithm, and apply the tested algorithm to the construction of higher vocational teaching website.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 429.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 549.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 549.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Huang XJ, Croft WB (2009) A unified relevance model for opinion retrieval[C]. In: Proceeding of the 18th ACM conference on information and knowledge management, HongKong, ACM, pp 947–956

    Google Scholar 

  2. Kim SM, Hovy E (2010) Determining the sentiment of opinions[C]. In: Proceedings COLING-04, Geneva, Association for Computational Linguistics, 1, pp 267–1376

    Google Scholar 

  3. Bo P, Lillian L, Shivakumar V (2009) Thumbs upon sentiment classification using machine learning techniques, presented at the 2002 conference on empirical methods in natural language processing (EMNLP’2009), pp 79–86

    Google Scholar 

  4. Gelan Y, Xue X, Gang Y, Jianming Z (2010) Semi-supervised classification by local coordination lecture notes in computer science, vol 6444, Neural information processing. Models and applications, pp 517–524

    Google Scholar 

  5. Gelan Y, Xue X, Gang Y, Jianming Z (2010) Research of local approximation in semi-supervised manifold learning. J Inf Comput Sci 7(13):2681–2688

    Google Scholar 

  6. Borges J, Levene M (1999) Data mining of user navigation patterns. In: Proceedings of the workshop on web usage analysis and user profiling (WEBKDD’99)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Hunan vocational college of science and Technology, Changsha, 410004, Hunan, China

    Jianjie Song

  2. Hunan City University, Yiyang, 413000, Hunan, China

    Hean Liu

Authors
  1. Jianjie Song
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hean Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hean Liu .

Editor information

Editors and Affiliations

  1. Chinese Academy of Engineering, Beijing, China, People's Republic

    Xingui He

  2. Zhejiang Gongshang University, Beijing, China, People's Republic

    Ertian Hua

  3. Zhejiang Gongshang University, Hangzhou, China, People's Republic

    Yun Lin

  4. , School of Automation, Wuhan University of Technology, East District of Wuhan University, Luoshi Road 122, Wuhan, 4300, China, People's Republic

    Xiaozhu Liu

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media B.V.

About this paper

Cite this paper

Song, J., Liu, H. (2012). Application of Text Data Mining to Education in Long-Distance. In: He, X., Hua, E., Lin, Y., Liu, X. (eds) Computer, Informatics, Cybernetics and Applications. Lecture Notes in Electrical Engineering, vol 107. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1839-5_80

Download citation

  • DOI: https://doi.org/10.1007/978-94-007-1839-5_80

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-1838-8

  • Online ISBN: 978-94-007-1839-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation