My implementation of the research paper - All-in-One: Emotion, Sentiment and Intensity Prediction using a Multi-task Ensemble Framework
CS4472 - Mobile Computing Project. Personal Health Companion App designed to help you achieve a balanced lifestyle.
Analyzing the Drugs Descriptions, conditions, reviews and then recommending the medicines for each Health Condition of a Patient.
"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.
A Dashboard demonstrating Sentimental and Emotional analysis of top rated restaurants reviews located in NCR.
2023년 국립국어원 인공 지능 언어 능력 평가: 감정 분석 과제
StimuliXpert improves the synchronization between EEG signals and emotional stimulus and helps the user to report the emotional arousal & valence in real time
Edison AT is AI emotional depression program. Developed using Python.
参考文献《Convolutional_Neural_Networks_for_Sentence_Classification》实现对贝因美评论的分析
Capstone: Implementation of EEG-based user-friendly music composition algorithm
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.
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)
AD3X Hackathon Winner Repo - Sentimental & Emotional Analysis
Serie de ejercicios para familiarizarse con R
An open source visual analysis tool based on FER
Zenify: Unveil the Mood of Words with Sentiment Analysis
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. .
Multi-dimensional evaluation of AI responses using semantic alignment, conversational flow, and engagement metrics.
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