Improving the emotion‐based classification by exploiting the fuzzy entropy in FCM clustering-Reference-Cited by-同舟云学术

Improving the emotion‐based classification by exploiting the fuzzy entropy in FCM clustering

Published:2021-07-21 Issue:11 Volume:36 Page:6944-6967
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Cardone Barbara¹^ORCID,Di Martino Ferdinando¹²^ORCID,Senatore Sabrina³^ORCID

Affiliation:

1. Dipartimento di Architettura Università degli Studi di Napoli Federico II Napoli Italy

2. Centro Interdipartimentale di Ricerca “Alberto Calza Bini” Università degli Studi di Napoli Federico II Napoli Italy

3. Dipartimento di Ingegneria dell'Informazione ed Elettrica e Matematica applicata Università degli Studi di Salerno Fisciano (Salerno) Italy

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22575

Reference39 articles.

1. The Nature of Emotions

2. Character level embedding with deep convolutional neural network for text normalization of unstructured data for Twitter sentiment analysis;Arora M;Soc Network Anal Min,2019

3. Deep learning based emotion analysis of microblog texts

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