yt.Wordcloud: Wordcloud of Comments from YouTube

In Vintonm49/ytcol: Collection and Cleaning of YouTube Data

Description

Create a wordcloud from a dataframe that includes the text of comments pulled from YouTube. Input dataframe must have a column named "text_original" that contains the comments.

Usage

yt.Wordcloud(comments = NULL, max_words = 10, remove = NULL,
  stopwords = "english")

Arguments

comments	Character. Name of dataframe in the environment that includes the comments in a column named "text_original". Required.
max_words	Integer. Number of words to display in the wordcloud. Default is 10.
remove	Comma separated list of words to remove from the words displayed in the wordcloud. Optional.
stopwords	Character. Stopwords are common words in a language such as <e2><80><9c>the<e2><80><9d> and <e2><80><9c>this<e2><80><9d>. Set the langauge to eliminate common words in that language Takes one of the following values: 'english','danish','dutch','finnish','french','german','hungarian', 'italian', 'norwegian', 'portuguese', 'russian', 'spanish', 'swedish'. Default is 'english'.

Value

Plots a wordcloud.

Vintonm49/ytcol documentation built on May 27, 2019, 7:42 a.m.