A Realtime Face Emotion Classification using Deep Learning and OpenCV
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Updated
Jan 4, 2021 - Jupyter Notebook
A Realtime Face Emotion Classification using Deep Learning and OpenCV
Proyecto de NLP entrenando modelos de ML para predecir el sentimiento y la emoción de un tweet utilizando un dataset de casi 25.000 tweets. Realizado en conjunto con Germán Fernández y Sergio Soler para el bootcamp de Data Science impartido por Hack A Boss.
A university project consisting of a data mining phase and the development of a web application that allows the user to classify a specific emotion using the James Russel valence-arousal domain.
ai challenger 2018细粒度情感分类第一名解决方案, A training framework itegrating tensorflow and pytorch
I created this project as my Bachelor's degree graduation project with the aim of providing assistance to students and teachers amidst the COVID-19 crisis.
Emotion-Based Music Recommender System that uses an RNN model and user inputs to recommend songs.
Estudo de caso onde foi desenvolvido um modelo de classificação de emoções utilizando técnicas avançadas de processamento de linguagem natural (PLN).
Emotion Classification of Movie Reviews
DRAW aims to extract effective inferences from online drug reviews that would benefit drug users, pharma companies, and clinicians by receiving feedback on the drug based on opinion mining.
Emotion classification model and sudoku solver deployed with Flask.
Affective Computing
The detection of emotion is made by using the machine learning concept. You can use the trained dataset to detect the emotion of the human being. For detecting the different emotions, first, you need to train those different emotions, or you can use a dataset already available on the internet.
I develop a more advanced recommendation engine by combining the real-time emotion detection and gesture recognition system with these methods
Show me how do I feel now.. 😄😲🤢😨😭😡
The diploma and research project focuses on exploring the correlation between emotion classification and head pose orientation.
This project compares the performance of a Naive Bayes model and fine-tuned BERT models on emotion classification from text.
Text Emotion System Sentiment Analysis (TESSA) is an open-source project focused on sentiment analysis. 💬
Spiderman is my NLP thesis project from Rose-Hulman.
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