Deep-EmoRU: mining emotions from roman urdu text using deep learning ensemble
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-13147-w.pdf
Reference34 articles.
1. Abdullah M, Hadzikadicy M, Shaikhz S (2018) Sedat: sentiment and emotion detection in arabic text using cnn-lstm deep learning. In: 2018 17th IEEE international conference on machine learning and applications (ICMLA). IEEE, pp 835–840
2. Agarwal B, Mittal N (2012) , pp. 701–709. In: Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS) December 28-30, 2012. Springer, p 2014
3. Agrawal A, An A (2012) Unsupervised emotion detection from text using semantic and syntactic relations. In: Proceedings of the The IEEE/WIC/ACM international joint conferences on web intelligence and intelligent agent technology vol 01. IEEE Computer Society, pp 346–353, p 2012
4. Arshad MU, Bashir MF, Majeed A, Shahzad W, Beg MO (2019) Corpus for emotion detection on roman urdu. In: 2019 22nd international multitopic conference (INMIC). IEEE, pp 1–6
5. Bothe C, Wermter S (2019) Moongrad at semeval-2019 task 3: Ensemble birnns for contextual emotion detection in dialogues. In: Proceedings of the 13th international workshop on semantic evaluation, pp 261–265
Cited by 16 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. Evaluating text classification: A benchmark study;Expert Systems with Applications;2024-11
2. Extracting emotion from resource poor language through transfer learning;Multimedia Tools and Applications;2024-07-30
3. A review on emotion detection by using deep learning techniques;Artificial Intelligence Review;2024-07-11
4. Exploring the diversity of emotion in hospitality and tourism from big data: a novel sentiment dictionary;International Journal of Contemporary Hospitality Management;2024-07-02
5. RUSAS: Roman Urdu Sentiment Analysis System;Computers, Materials & Continua;2024
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