SEO Ministration : Content Related Tag Suggestion Using One vs Rest

Authors

  • Dyapa Sravan Reddy  School of Computer Science and Engineering, Lovely Professional University, India
  • Lakshmi Prasanna Reddy  School of Computer Science and Engineering, Lovely Professional University, India
  • Kandibanda Sai Santhosh  School of Computer Science and Engineering, Lovely Professional University, India
  • Virrat Devaser  Assistant Professor, School of Computer Science and Engineering, Lovely Professional University, India

DOI:

https://doi.org/10.32628/CSEIT217668

Keywords:

Search Engine Optimization, Content Tags, Machine Learning, Data-set, Selenium, Beautiful Soup, Text Analysis, LSTM, One vs Rest, One vs One.

Abstract

SEO Analyst pays a lot of time finding relevant tags for their articles and in some cases, they are unaware of the content topics. The current proposed ML model will recommend content-related tags so that the Content writers/SEO analyst will be having an overview regarding the content and minimizes their time spent on unknown articles. Machine Learning algorithms have a plethora of applications and the extent of their real-life implementations cannot be estimated. Using algorithms like One vs Rest (OVR), Long Short-Term Memory (LSTM), this study has analyzed how Machine Learning can be useful for tag suggestions for a topic. The training of the model with One vs Rest turned out to deliver more accurate results than others. This Study certainly answers how One vs Rest is used for tag suggestions that are needed to promote a website and further studies are required to suggest keywords required.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-12-30

Issue

Volume 7, Issue 6, November-December-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dyapa Sravan Reddy, Lakshmi Prasanna Reddy, Kandibanda Sai Santhosh, Virrat Devaser, " SEO Ministration : Content Related Tag Suggestion Using One vs Rest" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 6, pp.245-253, November-December-2021. Available at doi : https://doi.org/10.32628/CSEIT217668