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rnlptext-miningstring-matchinglemmatization

How can I lemmatize english words (example: 'run' and 'ran') using R to bring them all to the same tense?

I want to lemmatize english words such that all of them get converted to the same tense. For example:

c("ran","run","running")

should become c("run","run","run").

I have already explored R packages such as tm, wordnet, RTextTools, and Snowball C; but all of them result in the output c("ran","run","run"). As you can see, they do not convert "ran" to "run".

Solution

  • Have a look at the textstem package I maintain:

    if (!require("pacman")) install.packages("pacman")
pacman::p_load(textstem)

lemmatize_words(c("ran","run","running"))
###[1] "run" "run" "run"

    Note that if you actually have strings and not word vectors you may want the lemmatize_strings function instead.