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Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

Unique Identifier

JETIR2006019

Page Number

124-127

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Title

Study on Emotion Recognition for Gauging Performance of Supervised Machine Learning Algorithms

ISSN

2349-5162

Cite This Article

" Study on Emotion Recognition for Gauging Performance of Supervised Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.124-127, June-2020, Available :http://www.jetir.org/papers/JETIR2006019.pdf

Abstract

Study on emotion recognition for gauging performance of supervised machine learning algorithms. The face is an index of the mind, but it is a word that really illuminates the emotions. Many emotions are hidden in subjective posts. Once recognized, these emotions serve as the knowledge base for many organizations. Many business decisions are based on these feelings. To make a decision, there is a need to identify users’ emotions. Organizations that make emotional decisions could be profitable when the emotions are correctly identified. This paper uses supervised machine learning algorithms to accurately predict the sentiment of Twitter messages. This paper also aims to compare machine learning algorithms to predict the emotion, to generate the score generated by the model, and to compare the performance of the algorithms.

Key Words

classification, dataset, deep learning, emotion recognition, processing, text mining, Twitter

Cite This Article

" Study on Emotion Recognition for Gauging Performance of Supervised Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp124-127, June-2020, Available at : http://www.jetir.org/papers/JETIR2006019.pdf

Publication Details

Published Paper ID: JETIR2006019
Registration ID: 233807
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 124-127
ISSN Number: 2349-5162

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Cite This Article

" Study on Emotion Recognition for Gauging Performance of Supervised Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp124-127, June-2020, Available at : http://www.jetir.org/papers/JETIR2006019.pdf




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