GitHub / hallowshaw / Text-Emotion-Classification-Using-LSTM-and-Tokenization

This repository provides a machine learning and deep learning pipeline for text emotion detection. It includes a pretrained LSTM model, tokenizer, and preprocessing steps to classify emotions such as joy, sadness, and anger from text input. Easily deployable with provided resources and scripts.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hallowshaw%2FText-Emotion-Classification-Using-LSTM-and-Tokenization
PURL: pkg:github/hallowshaw/Text-Emotion-Classification-Using-LSTM-and-Tokenization

Topics: emotion-classification, emotion-detection, feature-engineering, lstm, nltk, nltk-python, scikit-learn, scikitlearn-machine-learning, sentiment-analysis, sequential-models, text-classification, text-classification-multi-label, tokenization, tokenizer

• Files
• Readme
• Dependencies