Extracting NLP part-of-speech labels of customers' review in R -

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i have following dataframe contains reviews customer have left on restaurant website:

id<-c(1,2,3,4,5,6) review<- c("the food delicious , hearty - perfect warm during freezing winters day", "excellent service usual","love place!", "service , quality of food first class"," customer services exceptional staff","excellent services") df<-data.frame(id, review)

now looking way (preferably without using for loop) find part-of-speech labels in each customer's review in r.

this pretty straightforward adaption of example on maxent_pos_tag_annotator page.

df<-data.frame(id, review, stringsasfactors=false)   library(nlp) library(opennlp)  review.pos <-    sapply(df$review, function(ii) {     a2 <- annotation(1l, "sentence", 1l, nchar(ii))     a2 <- annotate(ii, maxent_word_token_annotator(), a2)     a3 <- annotate(ii, maxent_pos_tag_annotator(), a2)     a3w <- subset(a3, type == "word")     tags <- sapply(a3w$features, `[[`, "pos")     sprintf("%s/%s", as.string(ii)[a3w], tags)   })

which results in output:

#[[1]] # [1] "the/dt"       "food/nn"      "was/vbd"      "very/rb"      "delicious/jj" # [6] "and/cc"       "hearty/nn"    "-/:"          "perfect/jj"   "to/to"        #[11] "warm/vb"      "up/rp"        "during/in"    "a/dt"         "freezing/jj"  #[16] "winters/nns"  "day/nn"       # #[[2]] #[1] "excellent/jj" "service/nn"   "as/in"        "usual/jj"     # #[[3]] #[1] "love/vb"  "this/dt"  "place/nn" "!/."      # #[[4]] #[1] "service/nnp" "and/cc"      "quality/nn"  "of/in"       "food/nn"     #[6] "first/jj"    "class/nn"    # #[[5]] #[1] "customer/nn"    "services/nns"   "was/vbd"        "exceptional/jj" #[5] "by/in"          "all/dt"         "staff/nn"       # #[[6]] #[1] "excellent/jj" "services/nns"

it should relatively straightforward adapt whatever format want.


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