A spark‐based big data analysis framework for real‐time sentiment prediction on streaming data
Author:
Affiliation:
1. Department of Software Engineering, Faculty of Technology Manisa Celal Bayar University Manisa Turkey
Funder
Research and Development
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu
Publisher
Wiley
Subject
Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/spe.2724
Reference40 articles.
1. A comparison study on active learning integrated ensemble approaches in sentiment analysis
2. Sentiment Analysis and Opinion Mining
3. STATISTIC BRAIN RESEARCH INSTITUTE.Statistic Brain.https://www.statisticbrain.com/. Accessed September 4 2018.
4. Applying spark based machine learning model on streaming big data for health status prediction
5. KaranasouM AmplaA DoulkeridisC HalkidiM.Scalable and real‐time sentiment analysis of twitter data. Paper presented at: 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW);2016;Barcelona Spain.
Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Examining Amazon Customer Reviews using PySpark and AWS: A Data Lake Approach;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06
2. Sentiment Classification of Social Network Text Based on AT-BiLSTM Model in a Big Data Environment;International Journal of Information Technologies and Systems Approach;2023-06-21
3. A Systematic Literature Review and Future Perspectives for Handling Big Data Analytics in COVID-19 Diagnosis;New Generation Computing;2023-03-16
4. Optimization of Accuracy of Tweets for Coronavirus Pandemic Using BERT-Based CNN Model;Information and Communication Technology for Competitive Strategies (ICTCS 2022);2023
5. Attribute selection for stroke prediction based on Hadoop and machine learning;AIP Conference Proceedings;2023
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3