text2emotion

A Simple R Package for Emotion Detection from Text

This package allows users to analyze text and classify emotions such as happiness, sadness, anger, fear, and neutrality. It combines text preprocessing, TF-IDF feature extraction, and Random Forest classification to predict emotions and map them to corresponding emojis for enhanced sentiment visualization.

Main features:

• Text preprocessing: clean, normalize, and handle slang and negations.
• TF-IDF vectorization of text data.
• Emotion classification using a trained model.
• Convert predicted emotion into a corresponding emoji.

Example usage in R:

library(text2emotion)
text <- "I am feeling great today!"
predict_emotion_with_emoji(text)
# output: I am feeling great today!😊

This package is useful for sentiment analysis, chatbot response enhancement, social media text analysis, and more.