#' Load NLP Models
#'
#' Loads a set of OpenNLP models according to an optional character vector of entities.
#' @param entities Character vector of entities.
#' @return A list of openNLP models
#' @examples
#' a <- load_nlp_models(c("sentence","word","POS","person","organization","location","date","time","percentage"))
load_nlp_models <- function(entities){
library("openNLP")
library("NLP")
pipeline <- list()
for(i in 1:length(entities)){
if(entities[i]=="sentence"){
pipeline[[length(pipeline)+1]] <- Maxent_Sent_Token_Annotator()
names(pipeline)[length(pipeline)] <- "sentence"
} else if(entities[i]=="word"){
pipeline[[length(pipeline)+1]] <- Maxent_Word_Token_Annotator()
names(pipeline)[length(pipeline)] <- "word"
} else if(entities[i]=="POS"){
pipeline[[length(pipeline)+1]] <- Maxent_POS_Tag_Annotator()
names(pipeline)[length(pipeline)] <- "POS"
} else {
pipeline[[length(pipeline)+1]] <- Maxent_Entity_Annotator(kind = entities[i])
names(pipeline)[length(pipeline)] <- entities[i]
}
}
return(pipeline)
}
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