To address these gaps, our paper analyzes recent TikTok anti-vax videos and incorporates the framework of multimodal frame processing, emotion-as-frames model, affective intelligence theory, and social identity theory. Our paper uncovers how different message modalities affect the impact of emotional ...
This project is a deep learning-based emotion detection model built using TensorFlow and ResNet50. It leverages the AffectNet dataset to classify human facial expressions into categories such as happy, sad, angry, and more. About the AffectNet Dataset AffectNet is a large facial expression dataset...
2009. Satisfying communication and relationship labels: Intimacy and length of relationship as perpetual frames of naturalistic conversations. Western Journal of Communications 48 (3): 201–216. Google Scholar Hobbs, Mitchell, Stephen Owen, and Livia Gerber. 2016. Liquid love? Dating apps, sex, ...
and then tested the model on all unseen frames from those videos. Results showed that, with just 5 to 10 percent of data from the new population, the model outperformed traditional models by a large margin — meaning it scored
(VIF) exceeding the threshold of 5, indicating high multicollinearity between them. A new composite variable was created to address this issue and mitigate multicollinearity effects in the regression model. We refer to this variable as “CPI + GDP”. It is defined as the sum of the ...
How to Prepare the Data for Your Model Before I create my model, I need to prepare the data. First, I need to import everything I will use: # Let's import our data import pandas as pd import numpy as np import tensorflow as tf from tensorflow.keras.layers import Dense, GlobalMaxPool...
From each video, we took 20 freeze frames per animal. As the length of the session varied between the period of treatment in year one (length: 10 min) and the test performed in year two (length: 2.5 min), one freeze frame was taken every 30 seconds in year one or every 7...
First, the subjects perform emotional expressions in a non-uniform way, as different people perform the same expression in different ways. Second, some subjects have a mustache or wear accessories, such as glasses or headcloths. Third, in some recordings, the apex frames are not with high ...
The latest version of FaceReader actually uses a new deep learning algorithm, called Deep Face Model, allowing you to analyze facial expressions under challenging conditions. Hence, as matter of future work, we would like to test its performance in the same experimental setting. FREE WHITE PAPER:...
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