twitter_topic: Mallet Topic Modelling On Twitter Data
In BeaJJ/ComTxt: Twitter text analysis (ComTxt)
Description
Usage
Arguments
Source
Examples
View source: R/twitter_topic.R
Description
This function allows you to train Mallet topic modelling on Twitter data using Mallet pacakge (Mimno, 2013). The result of Topic modelling display directly R and Shiny.
Usage
1
twitter_topic(df, n_topic)
Arguments
df
The preprocessed Twitter data frame. The column names must include "status_id", "text"
n_topic
The numbers of topics
Source
David Mimno (2013) mallet: A wrapper around the Java machine learning tool MALLET
Examples
1
2
df_ pre <- twitter_preprocess(df_tweets, ud_lang = "spanish", stopwords_lang = "es")
df_topics <- twitter_topic(df_pre, n_topic = 7)
BeaJJ/ComTxt documentation built on Dec. 17, 2021, 10:46 a.m.
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Description Usage Arguments Source Examples
View source: R/twitter_topic.R
Description
This function allows you to train Mallet topic modelling on Twitter data using Mallet pacakge (Mimno, 2013). The result of Topic modelling display directly R and Shiny.
Usage
1 | twitter_topic(df, n_topic)
|
Arguments
df |
The preprocessed Twitter data frame. The column names must include "status_id", "text" |
n_topic |
The numbers of topics |
Source
David Mimno (2013) mallet: A wrapper around the Java machine learning tool MALLET
Examples
1 2 | df_ pre <- twitter_preprocess(df_tweets, ud_lang = "spanish", stopwords_lang = "es")
df_topics <- twitter_topic(df_pre, n_topic = 7)
|
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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