preprocess_text

This function performs multi-stage text preprocessing, including lowercasing,
HTML cleaning, punctuation normalization, contraction expansion, internet slang replacement,
emoticon replacement, and final standardization.

Allows users to analyze text and classify emotions
such as happiness, sadness, anger, fear, and neutrality.
It combines text preprocessing, TF-IDF (Term Frequency-Inverse Document Frequency)
feature extraction, and Random Forest classification to predict emotions
and map them to corresponding emojis for enhanced sentiment visualization.

Fangyi Wang

text2emotion

Emotion Analysis and Emoji Mapping for Text

Yusong Zhao

Zisheng Qu

preprocess_text function

<dl><dt>text</dt>
<dd>A character vector of input texts.</dd>
<dt>use_textclean</dt>
<dd>Logical. Whether to use <code>textclean</code> for internet slang and emoticon replacement. Default is <code>TRUE</code>.</dd>
<dt>custom_slang</dt>
<dd>A named character vector providing user-defined slang mappings. Optional.</dd></dl>

Arguments

Preprocess Text with Slang Handling — preprocess_text

<dl>

<dt>text</dt>
<dd>A character vector of input texts.</dd>


<dt>use_textclean</dt>
<dd>Logical. Whether to use <code>textclean</code> for internet slang and emoticon replacement. Default is <code>TRUE</code>.</dd>


<dt>custom_slang</dt>
<dd>A named character vector providing user-defined slang mappings. Optional.</dd>

</dl>

preprocess_text: Preprocess Text with Slang Handling

Description

Usage

Value

Arguments

Details

Examples