Topic Modelling using Latent Dirichlet Allocation (LDA) and Analysis of Students Sentiments-Reference-Cited by-同舟云学术

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Topic Modelling using Latent Dirichlet Allocation (LDA) and Analysis of Students Sentiments

Published:2023-06-28 Issue: Volume: Page:
ISSN:
Container-title:2023 20th International Joint Conference on Computer Science and Software Engineering (JCSSE)
language:
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Author:

Ishmael Ontiretse¹^ORCID,Kiely Etain¹,Quigley Cormac²,McGinty Donal³

Affiliation:

1. Atlantic Technological University,dept. Computer Science & Applied Physics,Galway,Ireland

2. Atlantic Technological University,dept. Department of Analytical, Biopharmaceutical,Galway,Ireland

3. Atlantic Technological University,dept. Computing Services.,Galway,Ireland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10201904/10201936/10201965.pdf?arnumber=10201965

Reference21 articles.

1. Sentiment analysis of student surveys – A case study on assessing the impact of the COVID-19 pandemic on higher education teaching;jiménez;International Educational Data Mining Society,2021

2. Joint sentiment/topic model for sentiment analysis

3. Thematic Analysis

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. Industrial revolution and smart farming: a critical analysis of research components in Industry 4.0;The TQM Journal;2024-05-21

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