Function returns a list with a viz and a view object. The viz object can be fed into ParseR's `viz_ngram` function to produce a network visualisation.
count_ngram(
df,
text_var = Message,
n = 2,
top_n = 50,
min_freq = 10,
distinct = FALSE,
hashtags = FALSE,
mentions = FALSE,
clean_text = FALSE,
remove_stops = TRUE,
...
)
A dataframe.
The variable containing the text.
The number of terms to include in the n-gram. E.g. 2 produces a bi-gram.
The number of n-grams to include.
The minimum number of times an n-gram must be observed to be included.
If TRUE, will count # of unique posts for each n-gram.
Should hashtags be included in the n-grams?
Should mentions be included in the n-grams?
Should the text variable be cleaned?
Should stopwords be removed?
fed to the `ParseR::clean_text()` function
A list containing a summary table and a tidygraph object suitable for a network visualisation.