Automate detection of different emotions from paragraphs and predict overall emotion.
Scripts used in the research described in the paper "Multimodal Emotion Recognition with High-level Speech and Text Features" accepted in the ASRU 2021 conference.
Text emotions classification by natural language processing and text classification
A Discord Chatbot
A flexible text emotion classifier with support for multiple models, customizable preprocessing, visualization tools, fine-tuning capabilities, and more.
The Text-Based-Emotion-Detector Web App is an easy-to-use tool for analyzing emotions in text. Whether it's an article, a comment, or any other textual input, the app uncovers the underlying emotional tone. The app uses the MeaningCloud Sentiment Analysis API to analyze the text and provide a detailed report on the emotions detected.
A toolkit for estimating Chinese sentiment scores with multiple measures.
Text Emotion Classifier using Logistic Regression and Streamlit with Docker and GitHub Actions deployed to Azure App Service.
A deep learning system for real-time emotion recognition from both text and images using transformers.
Welcome to the Text Emotion Detection Project! This project is designed to train a model for detecting emotions in text using the Transformers library and PyTorch, and then use that model to classify emotions in real-time and store the results in an postgreSQL database.
Add a description, image, and links to the text-emotion-detection topic page so that developers can more easily learn about it.
To associate your repository with the text-emotion-detection topic, visit your repo's landing page and select "manage topics."