Sentiment Analysis on Online Learning during the Covid-19 Pandemic Based on Opinions on Twitter using KNN Method

被引:0
|
作者
Lubis, Arif Ridho [1 ]
Prayudani, Santi [1 ]
Lubis, Muharman [2 ]
Nugroho, Okvi [3 ]
机构
[1] Politeknik Negeri Medan, Department of Computer Engineering and Informatics, Medan, Indonesia
[2] Telkom University, School of Industrial Engineering, Bandung, Indonesia
[3] Kulkas It, Medan, Indonesia
来源
2022 1st International Conference on Information System and Information Technology, ICISIT 2022 | 2022年
关键词
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
Classification (of information) - Coronavirus - E-learning - Nearest neighbor search - Social networking (online)
引用
收藏
页码:106 / 111
相关论文
共 15 条
  • [1] Problem-Based Learning in Data Science Course: Analysis of Online Learning during the Covid-19 Pandemic
    Saenphon, Thirachit
    Silpasuphakornwong, Piyarat
    ACM International Conference Proceeding Series, 2022, : 132 - 137
  • [2] Analysis and Forecasting of COVID-19 Pandemic Using ARIMA Model
    Singh, Soni
    Mittal, Sonam
    Singh, Sunaina
    ACCESS 2023 - 2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems, 2023, : 143 - 148
  • [3] Data on undergraduate students’ self-regulation in online and blended learning environments during the COVID-19 pandemic in Indonesia
    Irwanto, Irwanto
    Data in Brief, 53
  • [4] Diachronic Analysis of Users' Stances on COVID-19 Vaccination in Japan using Twitter
    Hisamitsu, Shohei
    Cho, Sho
    Jin, Hongshan
    Toyoda, Masashi
    Yoshinaga, Naoki
    Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022, 2022, : 237 - 241
  • [5] Beyond Fear and Anger: A Global Analysis of Emotional Response to COVID-19 News on Twitter Using Deep Learning
    Oliveira, Francisco Bráulio
    Mougouei, Davoud
    Haque, Amanul
    Sichman, Jaime Simão
    Dam, Hoa
    Evans, Simon
    Ghose, Aditya
    Singh, Munindar P.
    SSRN, 2023,
  • [6] An Analysis of Shifts in Public Interests and Sentiments in Japan Using News Tweet Data during the COVID-19 Pandemic
    Fukuda, Satoshi
    Nanba, Hidetsugu
    Shoji, Hiroko
    Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023, 2023, : 106 - 111
  • [7] Analysis and Prediction of COVID-19 Data using Machine Learning Models
    Chrin, Richvichanak
    Wang, Sujing
    ACM International Conference Proceeding Series, 2021, : 296 - 301
  • [8] Predicting the impact of the third wave of COVID-19 in India using hybrid statistical machine learning models: A time series forecasting and sentiment analysis approach
    Mohan, Sumit
    Solanki, Anil Kumar
    Taluja, Harish Kumar
    Anuradha
    Singh, Anuj
    Computers in Biology and Medicine, 2022, 144
  • [9] Using a Rule-based Model to Detect Arabic Fake News Propagation during Covid-19
    Alotaibi, Fatimah L.
    Alhammad, Muna M.
    International Journal of Advanced Computer Science and Applications, 2022, 13 (01): : 112 - 119
  • [10] Forecasting Stock Price Index of Four Asian Countries During COVID-19 Pandemic Using ARMA-GARCH and RNN Methods
    Ferdinand, F.V.
    Saputra, K.V.I.
    Michelle
    Edbert, Johan Sebastian
    2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023, 2023, : 974 - 978