classify.aggregate: Primitive Bagging Sentiment Classification
In mananshah99/sentR: Provides varied techniques for big data sentiment analysis in R
Description
Usage
Arguments
Examples
Description
Provides a simple aggregation function in order to clasify a vector of sentences.
Incorporates text trimming and removes extraneous characters for better analysis.
Usage
1
classify.aggregate(sentences, pos.words, neg.words, .progress = "none")
Arguments
sentences
a vector of sentences to classify
pos.words
the dictionary of positive words
neg.words
the dictionary of negative words
.progress
boolean value indicating whether a progress bar should be displayed
Examples
1
classify.aggregate(c("I am happy"), c("happy", "overjoyed"), c("sad", "depressed"), .progress='none')
mananshah99/sentR documentation built on May 21, 2019, 11:23 a.m.
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.
Description Usage Arguments Examples
Description
Provides a simple aggregation function in order to clasify a vector of sentences. Incorporates text trimming and removes extraneous characters for better analysis.
Usage
1 | classify.aggregate(sentences, pos.words, neg.words, .progress = "none")
|
Arguments
sentences |
a vector of sentences to classify |
pos.words |
the dictionary of positive words |
neg.words |
the dictionary of negative words |
.progress |
boolean value indicating whether a progress bar should be displayed |
Examples
1 | classify.aggregate(c("I am happy"), c("happy", "overjoyed"), c("sad", "depressed"), .progress='none')
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.