Sentiment Analysis using Deep Learning in Cloud

Conference paper

Raza, Muhammad Raheel, Hussain, Walayat, Tanyıldızı, Erkan and Varol, Asaf. (2021). Sentiment Analysis using Deep Learning in Cloud. 9th International Symposium on Digital Forensics and Security (ISDFS). 28 - 29 Jun 2021 Turkey: IEEE Xplore. pp. 1-5 https://doi.org/10.1109/ISDFS52919.2021.9486312
AuthorsRaza, Muhammad Raheel, Hussain, Walayat, Tanyıldızı, Erkan and Varol, Asaf
TypeConference paper
Abstract

Sentiments are the emotions or opinions of an individual encapsulated within texts or images. These emotions play a vital role in the decision-making process for a business. A cloud service provider and consumer are bound together in a Service Level Agreement (SLA) in a cloud environment. SLA defines all the rules and regulations for both parties to maintain a good relationship. For a long-lasting and sustainable relationship, it is vital to mine consumers' sentiment to get insight into the business. Sentiment Analysis or Opinion Mining refers to the process of extracting or predicting different point of views from a text or image to conclude. Various techniques, including Machine Learning and Deep Learning, strives to achieve results with high accuracy. However, most of the existing studies could not unveil hidden parameters in text analysis for optimal decision-making. This work discusses the application of sentiment analysis in the cloud-computing paradigm. The paper provides a comparative study of various textual sentiment analysis using different deep learning approaches and their importance in cloud computing. The paper further compares existing approaches to identify and highlight gaps in them.

KeywordsSentiment; emotion; Service Level Agreement; deep learning
Year01 Jan 2021
PublisherIEEE Xplore
Digital Object Identifier (DOI)https://doi.org/10.1109/ISDFS52919.2021.9486312
Web address (URL)https://ieeexplore.ieee.org/document/9486312
Open accessPublished as non-open access
Research or scholarlyResearch
Page range1-5
Web address (URL) of conference proceedingshttps://ieeexplore.ieee.org/xpl/conhome/9486290/proceeding
Output statusPublished
Publication dates
Print29 Jun 2021
Publication process dates
Deposited13 Feb 2024
Additional information

Copyright ©2021 by IEEE. All rights reserved.

Place of publicationTurkey
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