Machine Learning for S.E.O

Measures different aspects of page content, structure and performance for SEO (Search Engine Optimization). Aspects covered include HTML tags used in SEO, duplicate and near-duplicate content, structured data, on-site linking structure and popularity transfer, and many other amazing things. This package can be used to generate a real, full SEO audit report, which serves to detect errors or inefficiencies on a page that can be corrected in order to optimise its performance on search engines.


Reference manual

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0.1.8 by Vincent Terrasi, 2 months ago

Browse source code at

Authors: Vincent Terrasi [aut, cre] , OnCrawl [cph, fnd]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports RCurl, jsonlite, dplyr, xgboost, pROC, ggplot2, caret, DALEX, rlist, readr, rlang, formattable, sparkline, webshot, e1071, pdp, fs, scales, tidyr, htmltools

Suggests devtools, testthat

See at CRAN