mod_mid: Mid module
In jiwanheo/senTWEETment: Analyze Twitter Sentiment
Description
Usage
Arguments
Details
Description
A shiny Module that contains the second step of the app, namely the 3
customizable aspects of the sentiment analysis, broken up into their own
module. After customization, users can initiate the analysis, which will be
saved in ta R6 object. Finally, it triggers the "analyze-tweets" trigger.
Usage
1
2
3
mod_mid_ui(id)
mod_mid_server(id, ta)
Arguments
id
The Module namespace
ta
TweetAnalysis object, to hold analysis process in R6.
Details
Child Modules
mod_mid_lexicons: Choose sentiment lexicons
mod_mid_negation_words: Carries out bigram negation adjustment
mod_mid_stop_words: Add/remove stop words
jiwanheo/senTWEETment documentation built on Jan. 20, 2022, 3:20 a.m.
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Description Usage Arguments Details
Description
A shiny Module that contains the second step of the app, namely the 3 customizable aspects of the sentiment analysis, broken up into their own module. After customization, users can initiate the analysis, which will be saved in ta R6 object. Finally, it triggers the "analyze-tweets" trigger.
Usage
1 2 3 | mod_mid_ui(id)
mod_mid_server(id, ta)
|
Arguments
id |
The Module namespace |
ta |
TweetAnalysis object, to hold analysis process in R6. |
Details
Child Modules
mod_mid_lexicons: Choose sentiment lexicons
mod_mid_negation_words: Carries out bigram negation adjustment
mod_mid_stop_words: Add/remove stop words
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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