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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0.2.0 by Vincent Terrasi, a year 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, rjson

Suggests devtools, testthat

See at CRAN