malaya
face-emotion-recognition
malaya | face-emotion-recognition | |
---|---|---|
1 | 1 | |
457 | 581 | |
1.3% | - | |
9.0 | 5.8 | |
8 days ago | 20 days ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | Apache License 2.0 |
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malaya
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Public Sentiment regarding COVID19 from Malay Tweets vs Daily Case Numbers of Malaysia
Hey guys! I've been doing some web scraping on Malay tweets regarding COVID19. I decided to do some sentiment analysis using a NLP model (model is publicly available at https://github.com/huseinzol05/malaya). What the model does is taking in a chunk of text and outputs a sentiment score between 0 to 1 (1 being the text has 100% positive sentiment and 0 being the text is 100% negative). The model is not 100% accurate but it is considered to be comparable to other state-of-the-art models.
face-emotion-recognition
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[Research] Emotion recognition using videos on mobile devices
Yes, the training code is available in the co-author's github repository: https://github.com/HSE-asavchenko/face-emotion-recognition/tree/main/src There's code for several models that we tried training using the proposed approach. The best one turned out to be the EfficientNet-B0 model.
What are some alternatives?
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
face-api.js - JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
afinn - AFINN sentiment analysis in Python
human - Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition
tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).
fer - Facial Expression Recognition with a deep neural network as a PyPI package
wink-nlp - Developer friendly Natural Language Processing ✨
Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network - Enhancing Speech Emotion Classification with CNNs: This project seeks to overcome the limitations of traditional approaches and improve the accuracy of emotion recognition. CNNs automatically extract features from speech signals, capturing complex patterns and nuances, leading to enhanced performance compared to traditional methods.
wink-eng-lite-model - English lite language model for wink-nlp.
soxan - Wav2Vec for speech recognition, classification, and audio classification
German-NER-BERT - German NER on Legal Data using BERT
Emotions-Classification - Tells You about the emotion/Sentimental Analysis of a Sentence