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.
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.
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