topic_trend: Topic distribution over the period by month
In BeaJJ/ComTxt: Twitter text analysis (ComTxt)
Description
Usage
Arguments
Examples
Description
This function display the topic trend by month
Usage
1
topics_trend(mallet_df, df, col = "royalblue")
Arguments
mallet_df
mallet topic model
df
preprocessed twitter data
topic_name
topic names
Examples
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#### Example ####
topic_name <- c("Topic 1", "topic 2", "c", "d")
topics_trend(mallet_df, # model
df, # dataframe
topic_name) # label of the topics
BeaJJ/ComTxt documentation built on Dec. 17, 2021, 10:46 a.m.
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Description Usage Arguments Examples
Description
This function display the topic trend by month
Usage
1 | topics_trend(mallet_df, df, col = "royalblue")
|
Arguments
mallet_df |
mallet topic model |
df |
preprocessed twitter data |
topic_name |
topic names |
Examples
1 2 3 4 5 6 | #### Example ####
topic_name <- c("Topic 1", "topic 2", "c", "d")
topics_trend(mallet_df, # model
df, # dataframe
topic_name) # label of the topics
|
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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