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Recognition of Sentiment using Deep Neural Network

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Recognition of Sentiment using Deep Neural Network


Amit Yadav | Anand Gupta | Ms. Aarushi Thusu



Amit Yadav | Anand Gupta | Ms. Aarushi Thusu "Recognition of Sentiment using Deep Neural Network" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-1, February 2023, pp.896-903, URL: https://www.ijtsrd.com/papers/ijtsrd52797.pdf

Emotion is one of the maximum essential details which determines in predicting the human nature and information the human behaviour. Though it is an easy task for human being for recognizing human’s emotion but it is not the same for a computer to understand. And so let research is being conducted to predict the behaviour correctly with higher precision and accuracy.This paper demonstrates the real time facial emotion recognition in one of the seven categories o emotion that are angry, disgust, fear, happy, neutral, sad and surprise. We are using a simple 4-layer Convolution Neural Network (CNN). We also have implemented various filter and pre-processing to remove the noise and also have taken care of over-fitting the curve. We have tried to improve the accuracy o model by applying various filters and optimizing the data for feature extraction and obtaining the accurate data prediction. The dataset used for testing and training is FER2013 and the proposed trained model gives an accuracy of about 73%. Keyword: Emotion Recognition, Convolution Neural Network (CNN), pre-processing, Over-fitting, Optimization, features extraction.

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IJTSRD52797
Volume-7 | Issue-1, February 2023
896-903
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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