How to apply to large dataframe about pattern.nlp HOT 6 CLOSED

Fixed using lapply

from pattern.nlp.

Use lapply and next data.table::rbindlist

from pattern.nlp.

Hey, I'm trying to apply this solution to my own data set, but it doesn't seem to work.

I have a list that looks like this:
list("deze man in haalt alvast de eu vlag weg en zet de russische in de plaats <U+30FC> ",
"solidariteit cubaitalië on point nu nog europa onderling be ",
"bezoekersrichtlijn ggz geen algehele bezoekersstop ggz samen met hebben we een aangepaste richtlijn op",
"bij het om gebuiken ze het blijkbaar om op hun luie gat te liggen of achterstallig onderhoud van het",
"app die in vele talen kan vertellen of je echt tekenen van hebt test ")

And tried to use lapply and the function created by frederatic:
sentiments <- lapply(try, sentiment_function)

However this gives me 5 dataframes with the correct columns, but it contains gibberish. For example the polarity column = ÿþ0�ÿþ

When I use the function on just 1 string:
pattern_sentiment(try[[5]], language = "dutch")
it does seem to work.

I'm not very familiar with lapply, so not quite sure what I'm doing wrong.

from pattern.nlp.

It's been a while, but I think this was my code.
Did you assign the function to a variable like below?

sentiment_function <- function(x) {
  pattern_sentiment(x, language="dutch")
}

sentiments <- lapply(LISTNAME, sentiment_function)

U should get a list called sentiments that has the scores for every sentence. I used a dataframe instead, so got a dataframe as output. And then just bind the original tweets dataframe with the sentiment dataframe. Hope it works.

from pattern.nlp.

Hey,

That does indeed work, however for some reason it wraps the numbers in unexpected symbols like this:

I guess I can extract the contents with something like stringr, but it just seems odd to me that it behaves this way.

from pattern.nlp.

Quick google showed it might be a bug. Maybe these links help:

How to remove display of strange characters in R-Markdown chunk output?
Github Issue

from pattern.nlp.