The Impact of Features Extraction on the Sentiment Analysis
Author:
Publisher
Elsevier BV
Subject
General Engineering
Reference22 articles.
1. Y. Woldemariam, "Sentiment analysis in a cross-media analysis framework," 2016 IEEE International Conference on Big Data Analysis (ICBDA), Hangzhou, 2016, pp.1-5.
2. X. Fan, X. Li, F. Du, X. Li, and M. Wei, "Apply word vectors for sentiment analysis of APP reviews," 2016 3rd International Conference on Systems and Informatics(ICSAI), Shanghai,2016,pp.1062-1066.
3. Shi, Y., Xi, Y., Wolcott, P., Tian, Y., Li, J., Berg, D., Chen, Z., Herrera-Viedma, E., Kou, G., Lee, H., Peng, Y., Yu, L. (eds.): Proceedings of the First International Conference on Information Technology and Quantitative Management, ITQM 2013, Dushu Lake Hotel, Sushou, China, 16–18 May 2013, Procedia Computer Science, vol. 17. Elsevier (2013)
4. Fouad M.M., Gharib T.F., Mashat A.S. (2018) Efficient Twitter Sentiment Analysis System with Feature Selection and Classifier Ensemble. In: Hassanien A., Tolba M., Elhoseny M., Mostafa M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018). AMLTA 2018. Advances in Intelligent Systems and Computing, vol 723. Springer, Cham
5. J. Li and L. Qiu, "A Sentiment Analysis Method of Short Texts in Microblog," 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), Guangzhou,2017,pp.776-779.
Cited by 152 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. A comprehensive review of visual–textual sentiment analysis from social media networks;Journal of Computational Social Science;2024-09-08
2. Sentiment Analysis of Sirekap Tweets Using CNN Algorithm;INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi;2024-08-31
3. M2PSC: Multilingual sentiment analysis using improved multi-attention based Deep Learning model;Intelligent Decision Technologies;2024-08-15
4. A review on emotion detection by using deep learning techniques;Artificial Intelligence Review;2024-07-11
5. Evaluating The Impact of Feature Extraction Techniques on Arabic Reviews Classification;InfoTech Spectrum: Iraqi Journal of Data Science;2024-06-01
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