Filter patent data based on keywords using machine learning algorithm in R [closed]

xml,r,machine-learning,text-mining,patents

I'm not sure you need full-on machine learning for keyword filtering: library(httr) library(rvest) library(dplyr) # it's an xml snippet, not full XML so we have to use GET v2 rvest::xml resp <- GET("https://data.epo.org/publication-server/rest/v1.2/patents/EP2173581NWB1/document.xml") doc <- content(resp, as="parsed") # make the data frame from the information we care about data <-...