preprocessCorpus

<code><a rd-options="tm" href="/link/Corpus?package=SentimentAnalysis&version=1.1-0&to=tm" data-mini-rdoc="tm::Corpus">Corpus</a></code> object which should be processed

corpus

Default language used for preprocessing (i.e. stop word removal and stemming)

language

stemming

verbose

Flag indicating whether to remove stopwords or not (default: yes)

removeStopwords

Preprocess existing corpus of type <code><a rd-options="tm" href="/link/Corpus?package=SentimentAnalysis&version=1.1-0&to=tm" data-mini-rdoc="tm::Corpus">Corpus</a></code> according to default operations. 
This helper function groups all standard preprocessing steps such that the usage of the 
package is more convenient.

preprocessing

Performs a sentiment analysis of textual contents in R. This implementation
utilizes various existing dictionaries, such as General Inquirer, Harvard IV or
Loughran-McDonald. Furthermore, it can also create customized dictionaries. The latter
uses LASSO regularization as a statistical approach to select relevant terms based on
an exogeneous response variable.

Stefan Feuerriegel

SentimentAnalysis

Dictionary-based sentiment analysis

Nicolas Proellochs

preprocessCorpus function

<code><a rd-options='tm' href='Corpus'>Corpus</a></code> object which should be processed

Preprocess existing corpus of type <code><a rd-options='tm' href='Corpus'>Corpus</a></code> according to default operations. 
This helper function groups all standard preprocessing steps such that the usage of the 
package is more convenient.

preprocessCorpus: Default preprocessing of corpus

Description

Usage

Arguments

Value