tidytext example filter error with pipes

Question

When trying to reproduce the example found in http://tidytextmining.com/twitter.html there's a problem.

Basically I want to adapt this part of the code

library(tidytext)
library(stringr)

reg <- "([^A-Za-z_\\d#@']|'(?![A-Za-z_\\d#@]))"

tidy_tweets <- tweets %>% 
    mutate(text = str_replace_all(text, "https://t.co/[A-Za-z\\d]+|http://[A-Za-z\\d]+|&amp;|&lt;|&gt;|RT", "")) %>%
    unnest_tokens(word, text, token = "regex", pattern = reg) %>%
    filter(!word %in% stop_words$word,
        str_detect(word, "[a-z]"))

in order to keep the stop_Word included dataframe of tweets.

So i tried this :

tidy_tweets <- tweets %>% 
    mutate(text = str_replace_all(text, "https://t.co/[A-Za-z\\d]+|http://[A-Za-z\\d]+|&amp;|&lt;|&gt;|RT", "")) %>%
    unnest_tokens(word, text, token = "regex", pattern = reg) 

tidy_tweets_sw <- filter(!word %in% stop_words$word, str_detect(tidy_tweets, "[a-z]"))

But that did not work as i got the following error message :

Error in match(x, table, nomatch = 0L) :  
'match' requires vector arguments

I have tried to pass a vector version of both inputs to match, but to no avail. Does anyone have a better idea?

Answer 1

Unsure but I think your problem is here:

tidy_tweets_sw <- filter(!word %in% stop_words$word, str_detect(tidy_tweets, "[a-z]"))

filter has no clue about what you want to filter at all, this should work:

tidy_tweets_sw <- tidy_tweets %>% filter(!word %in% stop_words$word, str_detect(tidy_tweets, "[a-z]"))