tidytext

问题 I am a new R user. Will really appreciate if you can help me with solving the tokenization problem: My task in brief: I am trying to import a text file in into R. One of the text columns is Headline. The dataset is basically a collection of news articles related to a disease. Issue: I have tried many times to tokenize it using the unnest_tokens function. It is showing me the following error messages: Error in UseMethod("unnest_tokens_") : no applicable method for 'unnest_tokens_' applied to

问题 I am a new R user. Will really appreciate if you can help me with solving the tokenization problem: My task in brief: I am trying to import a text file in into R. One of the text columns is Headline. The dataset is basically a collection of news articles related to a disease. Issue: I have tried many times to tokenize it using the unnest_tokens function. It is showing me the following error messages: Error in UseMethod("unnest_tokens_") : no applicable method for 'unnest_tokens_' applied to

问题 I am a new R user. Will really appreciate if you can help me with solving the tokenization problem: My task in brief: I am trying to import a text file in into R. One of the text columns is Headline. The dataset is basically a collection of news articles related to a disease. Issue: I have tried many times to tokenize it using the unnest_tokens function. It is showing me the following error messages: Error in UseMethod("unnest_tokens_") : no applicable method for 'unnest_tokens_' applied to

问题 Hi i'm working with a tidy_text format and i am trying to substitute the strings "emails" and "emailing" into "email". set.seed(123) terms <- c("emails are nice", "emailing is fun", "computer freaks", "broken modem") df <- data.frame(sentence = sample(terms, 100, replace = TRUE)) df str(df) df$sentence <- as.character(df$sentence) tidy_df <- df %>% unnest_tokens(word, sentence) tidy_df %>% count(word, sort = TRUE) %>% filter( n > 20) %>% mutate(word = reorder(word, n)) %>% ggplot(aes(word, n)

问题 Code example to keep the term and inverse frequency: library(dplyr) library(janeaustenr) library(tidytext) book_words <- austen_books() %>% unnest_tokens(word, text) %>% count(book, word, sort = TRUE) total_words <- book_words %>% group_by(book) %>% summarize(total = sum(n)) book_words <- left_join(book_words, total_words) book_words <- book_words %>% bind_tf_idf(word, book, n) book_words %>% select(-total) %>% arrange(desc(tf_idf)) My problem is that this example uses multiple books. I have

来源： https://stackoverflow.com/questions/49122347/having-trouble-viewing-more-than-10-rows-in-a-tibble

来源： https://stackoverflow.com/questions/49122347/having-trouble-viewing-more-than-10-rows-in-a-tibble

来源： https://stackoverflow.com/questions/49122347/having-trouble-viewing-more-than-10-rows-in-a-tibble

来源： https://stackoverflow.com/questions/49122347/having-trouble-viewing-more-than-10-rows-in-a-tibble

来源： https://stackoverflow.com/questions/57465241/error-in-check-inputx-input-must-be-a-character-vector-of-any-length-or-a-li