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.

A Discord Chatbot

Text emotions classification by natural language processing and text classification

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.

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.