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library ( tidyverse ) #data manipulation & plotting library ( stringr ) # text cleaning and regular expressions library ( tidytext ) # provides additional

library(tidyverse) #data manipulation & plotting
library(stringr) # text cleaning and regular expressions
library(tidytext) # provides additional text mining functions
LOTR - readRDS("LOTR.RDS") ## read in the text of
stop_words - tidytext::stop_words
tokens - LOTR %>% unnest_tokens (word, text)
tokens - tokens %> dplyr::filter(!word %in% stop_words $ word )
all_word_counts - tokens %>% group_by(book, chapter)%>%
count (word, sort = TRUE)%>% ungroup
all_word_counts_mat - all_word_counts %% spread (key=word, value=n, fill=0)
word_counts - all_word_counts_mat [["ring"]]
Plot the log-likelihood of the Poisson rate of usage of the word in word_counts. Then use word_counts
to compute the maximum likelihood estimate of the rate of the usage of the word in the LOTR. Mark
this maximum on the log-likelihood plot with a vertical line (use abline if you make the plot in base R or
geom_vline if you prefer ggplot).
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