The datasets like IEMOCAP, MOSI or MOSEI can be used to extract sentiments. Instead of all the three modalities, only 2 modality texts and visuals can be used to classify sentiments.
Feature extraction with word2vec for text and openCV tool can be used to extra features from visuals.
12 freelance font une offre moyenne de ₹17578 pour ce travail
* Computer Vision and Machine Learning Expert * Hello, I have 7 years experience of computer vision and machine learning. So i have full skills and experience of this field, and have developed a lot of projects such as Plus
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Hello, I can do multimodal sentiment analysis with deep learning on IEMOCAP, MOSI.. datasets I hold Bachelor degree of Computer Science and I work as a Web Developer. I have good experience and deep knowledge in Pytho Plus
Hi, Good day. I read your project description very carefully. I've really rich experience in Deep Learning & Sentiment Analysis and have Doctor Degree and excellent programming skills. If we have a opportunity to work Plus
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I am a data science engineer and i had worked on text classification, chatbots building , breast cancer detection ,heart disease prediction and other types of projects. Having good knowledge in data structures and algo Plus
Hi, I am a Forbes featured AI Developer and read your problem statement very carefully. This can be done using a computer vision methodology and in simple steps via OpenCV. Let me know if I can be of any help. Cheers!
I can design a neural network that will do that for you. I can deliver clean code, with ample documentation and, if you wish, even write a paper that explains what exactly I used and why. I can finish the whole thing Plus
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I have work on newspaper text file so I will be do this project with you want . if you want multi label classification we also done word 2 vectorise using 2 modality . If want related project then I will share to yo Plus
I have been working in computer vision and deep learning for the last 3 years in various projects, competitions, internships, and research papers. I think I am a great fit for your requirements and am committed to a we Plus