SATLabel: A Framework for Sentiment and Aspect Terms Based Automatic Topic Labelling-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

SATLabel: A Framework for Sentiment and Aspect Terms Based Automatic Topic Labelling

Published:2022 Issue: Volume: Page:63-75
ISSN:2367-4512
Container-title:Machine Intelligence and Data Science Applications
language:
Short-container-title:

Author:

Shahriar Khandaker Tayef,Moni Mohammad Ali,Hoque Mohammed Moshiul,Islam Muhammad Nazrul,Sarker Iqbal H.^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-2347-0_6

Reference21 articles.

1. Adhikari SP, Meng S, Wu YJ, Mao YP, Ye RX, Wang QZ, Sun C, Sylvia S, Rozelle S, Raat H et al (2020) Epidemiology, causes, clinical manifestation and diagnosis, prevention and control of coronavirus disease (covid-19) during the early outbreak period: a scoping review. Infect Dis Poverty 9(1):1–12

2. Asmussen CB, Møller C (2019) Smart literature review: a practical topic modelling approach to exploratory literature review. J Big Data 6(1):1–18

3. Blei DM, Ng AY, Jordan MI (2003) Latent Dirichlet allocation. J Mach Learn Res 3:993–1022

4. Boussaadi S, Aliane H, Abdeldjalil PO (2020) The researchers profile with topic modeling. In: 2020 IEEE 2nd International conference on electronics, control, optimization and computer science (ICECOCS). IEEE, pp 1–6

5. Elgesem D, Feinerer I, Steskal L (2016) Bloggers’ responses to the Snowden affair: combining automated and manual methods in the analysis of news blogging. Comput Support Coop Work (CSCW) 25(2–3):167–191

Cited by 1 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. Aspect Based Sentiment Analysis of COVID-19 Tweets Using Blending Ensemble of Deep Learning Models;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023

同舟云学术

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