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.
This emotion recognition app analyzes text, facial expressions, and speech to detect emotions. Designed for self-awareness and mental well-being, it provides personalized insights and recommendations.
A deep learning system for real-time emotion recognition from both text and images using transformers.
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