Multi-dimensional evaluation of AI responses using semantic alignment, conversational flow, and engagement metrics.
A soothing digital quilt where people anonymously sew their feelings into colored patches. Built with Flask, Socket.IO, Cohere AI, and cozy vibes 🌸🧵
An open source visual analysis tool based on FER
Edison AT is AI emotional depression program. Developed using Python.
Serie de ejercicios para familiarizarse con R
EmpathAI aims to provide a safe, empathetic, and accessible space for individuals to receive emotional support through AI-driven conversations. By understanding and interpreting emotional cues, EmpathAI offers personalized guidance, stress-relief techniques, and resources tailored to individual needs. .
Capstone: Implementation of EEG-based user-friendly music composition algorithm
AD3X Hackathon Winner Repo - Sentimental & Emotional Analysis
CS4472 - Mobile Computing Project. Personal Health Companion App designed to help you achieve a balanced lifestyle.
"Edith" is a HackHarvard-born AI project enhancing personal wellness by analyzing emotional states through data from wearables like Apple Watches and Fitbits. It's designed to improve user experience and well-being through advanced AI-driven emotion analysis.
2023년 국립국어원 인공 지능 언어 능력 평가: 감정 분석 과제
SocialUnrestPredictor explores emotions within societal discussions like Black Lives Matter, 'Stop Asian Hate,' and 'Immigration.' Using NLTK and Gensim, it discerns nuanced emotions beyond conventional analysis, offering deeper insights into societal sentiments.
This project utilizes machine learning and deep learning techniques to perform sentiment analysis on text reviews, automatically categorizing them as positive or negative. It provides valuable insights into user opinions and emotions expressed in textual data.
Zenify: Unveil the Mood of Words with Sentiment Analysis
A Dashboard demonstrating Sentimental and Emotional analysis of top rated restaurants reviews located in NCR.
The project aims at classifying the various reviews on the specified drugs based on their polarity with the aid of their rating (Course: CSL2050 Pattern Recognition and Machine Learning)
My implementation of the research paper - All-in-One: Emotion, Sentiment and Intensity Prediction using a Multi-task Ensemble Framework
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