Emotion Processing by Applying a Fuzzy-Based Vader Lexicon and a Parallel Deep Belief Network Over Massive Data-Reference-Cited by-同舟云学术

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Emotion Processing by Applying a Fuzzy-Based Vader Lexicon and a Parallel Deep Belief Network Over Massive Data

Published:2022 Issue: Volume:10 Page:87870-87899
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Es-Sabery Fatima¹^ORCID,Es-Sabery Ibrahim¹,Hair Abdellatif¹^ORCID,Sainz-De-Abajo Beatriz²^ORCID,Garcia-Zapirain Begonya³^ORCID

Affiliation:

1. Department of Computer Science, Faculty of Sciences and Technology, Sultan Moulay Slimane University, Beni Mellal, Morocco

2. Department of Signal Theory, Communications and Telematics Engineering, University of Valladolid, Valladolid, Spain

3. EVIDA Research Group, University of Deusto, Bilbao, Spain

Funder

eVida Research Group, University of Deusto, Bilbao, Spain

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09863839.pdf?arnumber=9863839

Reference65 articles.

1. A mamdani-takagi-sugeno based linguistic neural-fuzzy inference system for improved interpretability-accuracy representation

2. Senti-N-Gram : An n -gram lexicon for sentiment analysis

3. Financial Context News Sentiment Analysis for the Lithuanian Language

4. Multilingual evaluation of pre-processing for BERT-based sentiment analysis of tweets

5. Low resource language specific pre-processing and features for sentiment analysis task

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2. Exploring Sentiment Polarity of P2P Guests Through Online User Reviews: A Multimodal Fuzzy Approach;IEEE Transactions on Engineering Management;2023

3. Sentiment Analysis of Youtube Comment Section in Indian News Channels;ICT for Intelligent Systems;2023

4. CNO-LSTM: A Chaotic Neural Oscillatory Long Short-Term Memory Model for Text Classification;IEEE Access;2022

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