topic_getwords: The Matrix of Words and Weight for Topics
In BeaJJ/ComTxt: Twitter text analysis (ComTxt)
Description
Usage
Arguments
Source
Examples
View source: R/topic_getwords.R
Description
This function retrive the matrix of words and its weight for topics.
Usage
1
topic_getwords(mallet_df, n_words)
Arguments
mallet_df
The model trained by get_topic function
n_words
The number of words for the matrix
Source
David Mimno (2013) mallet: A wrapper around the Java machine learning tool MALLET
Examples
1
2
3
df_ pre <- twitter_preprocess(df_tweets, ud_lang = "spanish", stop_words)
df_topics <- twitter_topic(df_pre, n_topic = 7)
words <- topic_getwords(df_topics, n_words = 100)
BeaJJ/ComTxt documentation built on Dec. 17, 2021, 10:46 a.m.
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Description Usage Arguments Source Examples
View source: R/topic_getwords.R
Description
This function retrive the matrix of words and its weight for topics.
Usage
1 | topic_getwords(mallet_df, n_words)
|
Arguments
mallet_df |
The model trained by get_topic function |
n_words |
The number of words for the matrix |
Source
David Mimno (2013) mallet: A wrapper around the Java machine learning tool MALLET
Examples
1 2 3 | df_ pre <- twitter_preprocess(df_tweets, ud_lang = "spanish", stop_words)
df_topics <- twitter_topic(df_pre, n_topic = 7)
words <- topic_getwords(df_topics, n_words = 100)
|
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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