plotCompCloud: plotCompCloud
In jakubk28/TwitterDMTools: Twitter Data mining tools
Description
Usage
Arguments
Value
Examples
View source: R/visualisationFunctions.R
Description
Plot a comparison cloud of the n most negative and positive words in the Tweet data set
Usage
1
plotCompCloud(tweetDataFrameTokenized, maxWords = 50, minWordFreq = 1)
Arguments
tweetDataFrameTokenized
Dataframe object containing word tokens from tweets (Output of tokenizeTweets())
maxWords
Maximum number of words to appear on the plot.
minWordFreq
Minimum frequency of word to appear on the plot
Value
Cloud plot containing n most frequent positive and negative words in the Tweet data set
Examples
1
plotCompMap(tweetDataFrameTokenized) plotCompMap(tweetDataFrameTokenized,10,5)
jakubk28/TwitterDMTools documentation built on June 25, 2021, 4:12 p.m.
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Description Usage Arguments Value Examples
View source: R/visualisationFunctions.R
Description
Plot a comparison cloud of the n most negative and positive words in the Tweet data set
Usage
1 | plotCompCloud(tweetDataFrameTokenized, maxWords = 50, minWordFreq = 1)
|
Arguments
tweetDataFrameTokenized |
Dataframe object containing word tokens from tweets (Output of tokenizeTweets()) |
maxWords |
Maximum number of words to appear on the plot. |
minWordFreq |
Minimum frequency of word to appear on the plot |
Value
Cloud plot containing n most frequent positive and negative words in the Tweet data set
Examples
1 | plotCompMap(tweetDataFrameTokenized) plotCompMap(tweetDataFrameTokenized,10,5)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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