DataSet used is Fer2013 data set which contains more than 35K images and 7 types of emotions. For this project we will be considering 5 emotions. In this ... |
CH-SIMS is a Chinese single- and multimodal sentiment analysis dataset which contains 2,281 refined video segments in the wild with both multimodal and ... |
11 июн. 2024 г. · The work of this paper presents a dataset that contains the data of 4011 videos about the ongoing outbreak of measles published on 264 websites on the internet. |
12 мар. 2024 г. · Six hundred videos representing a range of emotions, including fear, sadness, anger, disgust, neutral, happy, and surprised, comprise up the ... |
A web application that lets you analyze a video and classify each frame of the video into 7 different emotions : Angry, Sad, Fear, Happy, neutral, Disgust and ... |
Explore and run machine learning code with Kaggle Notebooks | Using data from multiple data sources. |
20 июл. 2024 г. · A labelled dataset for sentiment analysis of videos on YouTube, TikTok, and other sources about the 2024 outbreak of measles. |
CMU Multimodal Opinion Sentiment and Emotion Intensity (CMU-MOSEI) is the largest dataset of sentence-level sentiment analysis and emotion recognition in online ... |
This study proposes a short video sentiment analysis model based on multimodal feature fusion. This model analyzes the text, speech, and visual content in the ... |
Explore and run machine learning code with Kaggle Notebooks | Using data from Trending YouTube Video Statistics and Comments. |
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