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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title:	Design And Implement Search Engine Optimization Prediction System Using Machine Learning
Authors Name:	JUI YOGESH MORE , VAISHNAVI SHIVAJIRAO GAIKWAD , JYOTI SANTOSH LAHANGE , SAYLI SANJAY SHINDE
Unique Id:	IJSDR2211112
Published In:	Volume 7 Issue 11, November-2022
Abstract:	Search engine optimization (SEO) refers to optimizing individual websites and web pages to achieve higher page ranks in search results. Websites are usually optimized for backlinks, but individual web pages are optimized for specific keywords. This paper proposes a framework based on a set of guidelines for keyword analysis and backlink generation. The proposed framework suggests that web page content should be keyword-based and site traffic should be monitored by referrals. Achieve better search results if your website content and title contain important and relevant keywords and have the right amount of backlinks to help monitor your website traffic You can rank your website to for The framework also emphasizes hat developers and designers should consider proper keyword selection and link building when working on software development projects.
Keywords:	Search engine optimization, machine learning, NLP, SVM, MATPLOT.
Cite Article:	"Design And Implement Search Engine Optimization Prediction System Using Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 11, page no.806 - 809, November-2022, Available :http://www.ijsdr.org/papers/IJSDR2211112.pdf
Downloads:	000337070
Publication Details:	Published Paper ID: IJSDR2211112 Registration ID:202715 Published In: Volume 7 Issue 11, November-2022 DOI (Digital Object Identifier): Page No: 806 - 809 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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