Search Engine Optimization and Report Generator
Keywords:
SEO, Automation, Selenium, Pagespeed Insight, Text classificationAbstract
In this project, we will be working on creating a fully automated SEO report generator based on the guidelines given by the search engines (Google/Bing/ Gropher) and create an indexing chart by going through the source code of the given website and ranking it in aspects of performance, SEO, best practices and availability. The secondary objective of the project is to recommend keywords based on the given website description ( meta description tag from HTML file). To create the report we will need to rank the result that comes up after searching someone’s name or their website and categorize them into three categories Good, Bad, and Critical. These can be flagged to the administrator team for content removal. For categorization, we will be building upon the Compromise NLP engine based on NODE JS environment.
References
- D. Pratiba, Abhay M.S, Akhil Dua, Giridhar K. Shanbhag, Neel Bhandari, Utkarsh Singh, “SEO TECHNIQUES FOR VARIOUS APPLICATION- A COMPARATIVE ANALYSIS AND EVALUATION,” Published in IEEE 20-22 Dec 2018
- Gowtham Aashirwad Kumar, Dr. A Ravikumar, “AN ANALYTICAL STUDY OF SEARCH ENGINE OPTIMIZATION (SEO) TECHNIQUES: TO MAXIMIZE NUMBER OF TRAVELERS ON AN E-CONTENT MATERIAL WEBSITE,” Published Volume 11, Issue 1, January 2020
- Peng Qi*, Yuhao Zhang*, Yuhui Zhang, Jason Bolton, Christopher D. Manning, “A PYTHON LANGUAGE PROCESSING TOOLKIT FOR MANY HUMAN LANGUAGES,” Published Stanford University Stanford, CA 94305 23 Apr 2020
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