Tweet Sentiment Analysis (TSA) for Cloud Providers Using Classification Algorithms and Latent Semantic Analysis

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Journal of Data Analysis and Information Processing

ISSN Print: 2327-7211
ISSN Online: 2327-7203
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"Tweet Sentiment Analysis (TSA) for Cloud Providers Using Classification Algorithms and Latent Semantic Analysis"
written by Ioannis Karamitsos, Saeed Albarhami, Charalampos Apostolopoulos,
published by Journal of Data Analysis and Information Processing, Vol.7 No.4, 2019

has been cited by the following article(s):

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[11]	Toward Identifying Customer Complaints of Cloud Service Providers Using Topic Modeling and Sentiment Analysis
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[12]	Exploring Public Perceptions of COVID-19 Vaccine Adverse Effects Through Social Media Analysis
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[13]	Sentiment Classification based on Machine Learning Approaches in Amazon Product Reviews
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[14]	Sentimental analysis of amazon customers based on their review comments
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[15]	Prediction of customer's perception in social networks by integrating sentiment analysis and machine learning
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[16]	A Sentiment Analysis Approach to Discover Public Panic: Based on Weibo Covid-19 Data
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[17]	Research on Reputation Evaluation of Accounting Firms from the Perspective of Internet Public Opinion—Multi-Case Analysis Based on Hot Events
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[18]	DEEP LEARNING-BASED SENTIMENT ANALYSIS FOR CLOUD PROVIDER SELECTION
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[19]	Research on Reputation Evaluation of Accounting Firms from the Perspective of Internet Public Opinion
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[20]	Twitter-based Sentiment Analysis for Indonesian Drug Products using Supervised Feature Engineering
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[21]	How the European Union tackles future robotics
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[22]	Amazon Reviews using Sentiment Analysis
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[23]	Digital Transformation in the Event Industry
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[24]	Sentiment Analysis using Deep Learning in Cloud
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[25]	Sentimental Analysis based on hybrid approach of Latent Dirichlet Allocation and Machine Learning for Large-Scale of Imbalanced Twitter Data
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[26]	Applying DevOps Practices of Continuous Automation for Machine Learning
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[27]	STRATEGY FOR IMPROVING CLOUD COMPUTING PERFORMANCE WITH ADAPTIVE DATA REPLICATION

[1]	Advances in Sentiment Analysis - Techniques, Applications, and Challenges Artificial Intelligence, 2024 DOI:10.5772/intechopen.112701

[2]	Viral Dynamics on Social Media: Enhancing Brand Engagement through Meme Marketing Strategies Journal of Current Issues & Research in Advertising, 2024 DOI:10.1080/10641734.2024.2390850

[3]	PPO Based Reinforcement Learning Horizontal Pods Auto-Scaling-A Case Study in Simulation Environment 2023 International Conference on Advances in Electrical Engineering and Computer Applications (AEECA), 2023 DOI:10.1109/AEECA59734.2023.00162

[4]	Sentiment Analysis to Measure Public Trust in the Government Due to the Increase in Fuel Prices Using Naive Bayes and Support Vector Machine International Journal of Artificial Intelligence & Robotics (IJAIR), 2023 DOI:10.25139/ijair.v5i2.7167

[5]	A Cloud Based Sentiment Analysis through Logistic Regression in AWS Platform Computer Systems Science and Engineering, 2023 DOI:10.32604/csse.2023.031321

[6]	Human Intelligence and Value of Machine Advancements in Cognitive Science A Design thinking Approach Journal of Machine and Computing, 2023 DOI:10.53759/7669/jmc202303015

[7]	Handbook of Research on Advancements of Contactless Technology and Service Innovation in Library and Information Science Advances in Library and Information Science, 2023 DOI:10.4018/978-1-6684-7693-2.ch009

[8]	Sentiment Classification based on Machine Learning Approaches in Amazon Product Reviews Engineering, Technology & Applied Science Research, 2023 DOI:10.48084/etasr.5854

[9]	Prediction of customer’s perception in social networks by integrating sentiment analysis and machine learning Journal of Intelligent Information Systems, 2023 DOI:10.1007/s10844-022-00756-y

[10]	Toward Identifying Customer Complaints of Cloud Service Providers Using Topic Modeling and Sentiment Analysis 2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS), 2023 DOI:10.1109/SNAMS60348.2023.10375466

[11]	Prediction of customer’s perception in social networks by integrating sentiment analysis and machine learning Journal of Intelligent Information Systems, 2022 DOI:10.1007/s10844-022-00756-y

[12]	Twitter-based Sentiment Analysis for Indonesian Drug Products using Supervised Feature Engineering 2022 5th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), 2022 DOI:10.1109/ISRITI56927.2022.10053058

[13]	Sentimental analysis of amazon customers based on their review comments 2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC), 2022 DOI:10.1109/IIHC55949.2022.10060846

[14]	Sentimental analysis of amazon customers based on their review comments 2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC), 2022 DOI:10.1109/IIHC55949.2022.10060846

[15]	Twitter-based Sentiment Analysis for Indonesian Drug Products using Supervised Feature Engineering 2022 5th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), 2022 DOI:10.1109/ISRITI56927.2022.10053058

[16]	Event Project Management 2021 DOI:10.23912/9781911635734-4778

[17]	Sentiment Analysis using Deep Learning in Cloud 2021 9th International Symposium on Digital Forensics and Security (ISDFS), 2021 DOI:10.1109/ISDFS52919.2021.9486312

[18]	Sentimental Analysis based on hybrid approach of Latent Dirichlet Allocation and Machine Learning for Large-Scale of Imbalanced Twitter Data 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence, 2020 DOI:10.1145/3446132.3446413

[19]	Sentimental Analysis based on hybrid approach of Latent Dirichlet Allocation and Machine Learning for Large-Scale of Imbalanced Twitter Data 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence, 2020 DOI:10.1145/3446132.3446413

[20]	Applying DevOps Practices of Continuous Automation for Machine Learning Information, 2020 DOI:10.3390/info11070363

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