Skip to main content
SpringerLink
Log in

Exploration and Implementation of Classification Algorithms for Patent Classification

  • Conference paper
  • First Online:
International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018 (ICICI 2018)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 26))

  • 2060 Accesses

Abstract

The number of patent documents being filed every year is increasing at a rapid rate which demands for advanced and revolutionized tools to assist in patent mining activities such as Analysis, Detecting Infringements, Classification, etc. Among these activities, one of the prominent one is Classification. It aids flexible management and easy maintenance. Also favors fast and convenient searching. This paper makes an effort of exploration and implementation of certain classification algorithms and provides statistics of results on comparison.

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 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Zhang, L., Li, L., Li, T.: Patent mining: a survey. ACM SIGKDD Explor. Newsl. 16(2), 1–19 (2014)

    Article  MathSciNet  Google Scholar 

  2. Abbas, A.: A literature review on the state-of-the-art in patent analysis. World Pat. Inf. 37, 3–13 (2014)

    Article  Google Scholar 

  3. Sumathy, K.L., Chidambram, M.: Text mining: concepts, applications, tools and ıssues–an overview. Int. J. Comput. Appl. 80(4), 29–32 (2013)

    Google Scholar 

  4. Dasari, D.B., Venu Gopala Rao, K.: Text categorization and machine learning methods: current state of the art. Glob. J. Comput. Sci. Technol. Softw. Data Eng. 12(11) (2012)

    Google Scholar 

  5. Bonino, D., Ciaramella, A., Corno, F.: Review of the state-of-the-art in patent information and forthcoming evolution in intelligent patent informatics. World Pat. Inf. 32(1), 30–38 (2010)

    Article  Google Scholar 

  6. Saad, F., Numberger, A.: Overview of prior-art cross-lingual information retrieval approaches. World Pat. Inf. 34, 304–314 (2012)

    Article  Google Scholar 

  7. Hanbury, A., Bhatti, N., Lupu, M., Morzinger, R.: Patent image retrieval: a survey. In: Proceedings of the 4th ACM Workshop on Patent Information Retrieval, pp. 3–8 (2011)

    Google Scholar 

  8. Shiu, M.J., Liu, D.R.: Patent classification using ontology-based patent network analysis. In: Pacific Asia Conference on Information Systems, Taiwan, pp. 962–972 (2010)

    Google Scholar 

  9. Vidhya, K.A., Aghila, G.: A survey of Naïve Bayes machine learning approach in text document classification. IJCSIS 7(2), 206–211 (2010)

    Google Scholar 

  10. https://towardsdatascience.com/document-feature-extraction-and-classification-53f0e813d2d3

  11. https://en.wikipedia.org/wiki/Web_crawler

  12. https://en.wikipedia.org/wiki/Support_vector_machine

Download references

Author information

Authors and Affiliations

  1. Department of CSE, MSRIT, Bangalore, India

    Geetika Singh, Darshana A. Naik & S. Seema

  2. CloudxLab Inc., Bangalore, India

    Abhinav Singh

Authors
  1. Geetika Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Abhinav Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Darshana A. Naik
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. S. Seema
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Geetika Singh .

Editor information

Editors and Affiliations

  1. Department of ECE, Karunya University, Coimbatore, India

    Jude Hemanth

  2. Department of Electrical and Computer Engineering, Ryerson Communications Lab, Ryerson University, Toronto, ON, Canada

    Xavier Fernando

  3. Faculty of Engineering, Department of Telecommunication Engineering, Czech Technical University, Prague, Czech Republic

    Pavel Lafata

  4. School of Science, Joondalup Campus, Edith Cowan University, Joondalup, WA, Australia

    Zubair Baig

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Singh, G., Singh, A., Naik, D.A., Seema, S. (2019). Exploration and Implementation of Classification Algorithms for Patent Classification. In: Hemanth, J., Fernando, X., Lafata, P., Baig, Z. (eds) International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018. ICICI 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-030-03146-6_62

Download citation

Publish with us

Policies and ethics

Search

Navigation