Classification of Textual Sentiment Using Ensemble Technique
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42979-021-00922-z.pdf
Reference42 articles.
1. Akhtar MS, Ekbal A, Cambria E. How intense are you? Predicting intensities of emotions and sentiments using stacked ensemble [application notes]. Comput Intell Mag. 2020;15(1):64–75. https://doi.org/10.1109/MCI.2019.2954667.
2. Akhtar MS, Gupta D, Ekbal A, Bhattacharyya P. Feature selection and ensemble construction. Knowl Based Syst. 2017;125(C):116–35. https://doi.org/10.1016/j.knosys.2017.03.020.
3. Amrani YA, Lazaar M, Kadiria KEE. Random forest and support vector machine based hybrid approach to sentiment analysis. Procedia Comput Sci. 2018;127:511–20.
4. Bakar A, Razi MF, Norisma I, Liyana S, Norazlina K. Sentiment analysis of noisy Malay text: state of art, challenges and future work. IEEE Access. 2020;8:24687–96.
5. Banglapedia: Bangla language. 2019. https://www.kaggle.com/tazimhoque/bengali-sentiment-text. Accessed 23 Mar 2020.
Cited by 10 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. Improving emotion classification in e-commerce customer review analysis using GPT and meta‑ensemble deep learning technique for multilingual system;Multimedia Tools and Applications;2024-08-10
2. A Method for Improving the Recognition Accuracy of Pattern Classification;Advances in Intelligent Systems and Computing;2024
3. BEmoFusionNet: A Deep Learning Approach For Multimodal Emotion Classification in Bangla Social Media Posts;2023 26th International Conference on Computer and Information Technology (ICCIT);2023-12-13
4. IoT-Enabled Fault Prediction and Maintenance for Smart Charging Piles;IEEE Internet of Things Journal;2023-12-01
5. PLS-SEM Approach and Sentiment Analysis for Identifying Significant Factors of Customer Satisfaction;2023 International Conference on Data Science and Its Applications (ICoDSA);2023-08-09
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