[R] Sentence Splitting using R's openNLP library is not efficient

[anshuji]

Please suggest any efficient way/code of splitting text into sentences in R.
Currently, I'm using openNLP library for the same, it is taking several hours to process 8,000+ records of twitter post/comments.

Below is my R code for same:

options(java.parameters = "-Xmx4g")

library("NLP"); library("openNLPdata"); library("openNLP")
sentence_token_annotator <- Maxent_Sent_Token_Annotator()
convert_text_to_sentences <- function(text) {
text <- as.String(text)
sentence.boundaries <- annotate(text, sentence_token_annotator)
sentences <- text[sentence.boundaries]
return(sentences)
}

system.time(textofcomment_list <- lapply(data_all$TEXT, convert_text_to_sentences))

Thanks in advance

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