given_model_K: The Matrix of Words and Weight for Topics
In BeaJJ/ComTxt: Twitter text analysis (ComTxt)
Description
Usage
Arguments
Examples
View source: R/given_model_K.R
Description
This function retrive the perplexity score
Usage
1
given_model_K(df, mallet_df)
Arguments
df
The preprocessed twitter data
mallet_df
mallet_df
Examples
1
2
3
df_pre <- twitter_preprocess(df_tweets, ud_lang = "spanish", stopwords_lang = "es")
df_topic <- twitter_topic(df_pre, 10)
given_model_K(df_pre, df_topic)
BeaJJ/ComTxt documentation built on Dec. 17, 2021, 10:46 a.m.
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Description Usage Arguments Examples
View source: R/given_model_K.R
Description
This function retrive the perplexity score
Usage
1 | given_model_K(df, mallet_df)
|
Arguments
df |
The preprocessed twitter data |
mallet_df |
mallet_df |
Examples
1 2 3 | df_pre <- twitter_preprocess(df_tweets, ud_lang = "spanish", stopwords_lang = "es")
df_topic <- twitter_topic(df_pre, 10)
given_model_K(df_pre, df_topic)
|
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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