preprocess_text: Preprocess Text with Slang Handling

In text2emotion: Emotion Analysis and Emoji Mapping for Text

Preprocess Text with Slang Handling

Description

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

Usage

preprocess_text(text, use_textclean = TRUE, custom_slang = NULL)

Arguments

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

Details

The preprocessing pipeline includes:

• Lowercasing the text.

• Replacing HTML entities and non-ASCII characters.

• Expanding common English contractions (e.g., "I'm" -> "I am").

• Replacing internet slang and emoticons if use_textclean is TRUE.

• Handling additional slang defined by the user.

• Normalizing repeated punctuations and whitespace.

Value

A character vector of cleaned and normalized text.

Examples

preprocess_text("I'm feeling lit rn!!!")
preprocess_text("I can't believe it... lol :)", use_textclean = TRUE)

text2emotion documentation built on June 8, 2025, 1:04 p.m.