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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Sentiment analysis of student feedback using machine learning and lexicon based approaches
Zarmeen Nasim, Quratulain Rajput, Sajjad Haider
(2017)
Closed Access | Times Cited: 97

Showing 1-25 of 97 citing articles:

Sentiment Analysis of Students’ Feedback with NLP and Deep Learning: A Systematic Mapping Study
Zenun Kastrati, Fisnik Dalipi, Ali Shariq Imran, et al.
Applied Sciences (2021) Vol. 11, Iss. 9, pp. 3986-3986
Open Access | Times Cited: 161
Weakly Supervised Framework for Aspect-Based Sentiment Analysis on Students’ Reviews of MOOCs
Zenun Kastrati, Ali Shariq Imran, Arianit Kurti
IEEE Access (2020) Vol. 8, pp. 106799-106810
Open Access | Times Cited: 143
RETRACTED ARTICLE: Sentiment analysis of student feedback using multi-head attention fusion model of word and context embedding for LSTM
K. Sangeetha, D. Prabha
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 12, Iss. 3, pp. 4117-4126
Closed Access | Times Cited: 89
Climate Change Sentiment Analysis Using Lexicon, Machine Learning and Hybrid Approaches
Nabila Mohamad Sham, Azlinah Mohamed
Sustainability (2022) Vol. 14, Iss. 8, pp. 4723-4723
Open Access | Times Cited: 41
The power of engagement: Understanding active social media engagement and the impact on sales in the hospitality industry
Elizabeth Yost, Tingting Zhang, Ruoxi Qi
Journal of Hospitality and Tourism Management (2020) Vol. 46, pp. 83-95
Closed Access | Times Cited: 52
Hospitality Feedback System 4.0: Digitalization of Feedback System with Integration of Industry 4.0 Enabling Technologies
Ram Narayan, Anita Gehlot, Rajesh Singh, et al.
Sustainability (2022) Vol. 14, Iss. 19, pp. 12158-12158
Open Access | Times Cited: 35
Emotions Matter: A Systematic Review and Meta-Analysis of the Detection and Classification of Students’ Emotions in STEM during Online Learning
Aamir Anwar, Ikram Ur Rehman, Moustafa M. Nasralla, et al.
Education Sciences (2023) Vol. 13, Iss. 9, pp. 914-914
Open Access | Times Cited: 18
Aspect based sentiment analysis of students opinion using machine learning techniques
M. Sivakumar, U. Srinivasulu Reddy
2017 International Conference on Inventive Computing and Informatics (ICICI) (2017)
Closed Access | Times Cited: 58
A Content Analysis System That Supports Sentiment Analysis for Subjectivity and Polarity Detection in Online Courses
Ruth Cobos, Francisco Jurado, Alberto Blázquez-Herranz
IEEE Revista Iberoamericana de Tecnologias del Aprendizaje (2019) Vol. 14, Iss. 4, pp. 177-187
Closed Access | Times Cited: 46
Sentiment Analysis Techniques and Applications in Education: A Survey
Foteini S. Dolianiti, Dimitrios Iakovakis, Sofia B. Dias, et al.
Communications in computer and information science (2019), pp. 412-427
Closed Access | Times Cited: 41
AOH-Senti: Aspect-Oriented Hybrid Approach to Sentiment Analysis of Students’ Feedback
Abhinav Kathuria, Anu Gupta, R. K. Singla
SN Computer Science (2023) Vol. 4, Iss. 2
Closed Access | Times Cited: 9
Analyzing Student Reviews on Teacher Performance Using Long Short-Term Memory
Shiva Shankar Reddy, Gadiraju Mahesh, V. V. R. Maheswara Rao
Lecture notes on data engineering and communications technologies (2022), pp. 539-553
Closed Access | Times Cited: 15
Natural Language Processing of Student's Feedback to Instructors: A Systematic Review
Ayşe Saliha Sunar, Md. Saifuddin Khalid
IEEE Transactions on Learning Technologies (2023) Vol. 17, pp. 741-753
Open Access | Times Cited: 8
Opinion mining technique for developing student feedback analysis system using lexicon-based approach (OMFeedback)
Muslihah Wook, Noor Afiza Mat Razali, Suzaimah Ramli, et al.
Education and Information Technologies (2019) Vol. 25, Iss. 4, pp. 2549-2560
Closed Access | Times Cited: 24
Sentiment Analysis of Students’ Feedback on E-Learning Using a Hybrid Fuzzy Model
Maryam Alzaid, Fethi Fkih
Applied Sciences (2023) Vol. 13, Iss. 23, pp. 12956-12956
Open Access | Times Cited: 7
Practical Sentiment Analysis for Education: The Power of Student Crowdsourcing
Robert Kasumba, Marion Neumman
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 21, pp. 23110-23118
Open Access | Times Cited: 2
Assessing Teacher Competencies in Higher Education: A Sentiment Analysis of Student Feedback
Charalampos Dervenis
International Journal of Information and Education Technology (2024) Vol. 14, Iss. 4, pp. 533-541
Open Access | Times Cited: 2
Optimizing Automatic Text Classification Approach in Adaptive Online Collaborative Discussion–A Perspective of Attention Mechanism-Based Bi-LSTM
Yafeng Zheng, Zhanghao Gao, Jun Shen, et al.
IEEE Transactions on Learning Technologies (2022) Vol. 16, Iss. 5, pp. 591-602
Closed Access | Times Cited: 11
Students feedback analysis model using deep learning-based method and linguistic knowledge for intelligent educational systems
Asad Abdi, Gayane Sedrakyan, Bernard P. Veldkamp, et al.
Soft Computing (2023) Vol. 27, Iss. 19, pp. 14073-14094
Open Access | Times Cited: 6
An exploration of the causal factors making an online course content popular & engaging
Divya Jatain, Vikram Singh, Naveen Dahiya
International Journal of Information Management Data Insights (2023) Vol. 3, Iss. 2, pp. 100194-100194
Open Access | Times Cited: 6
Study on sentiment classification strategies based on the fuzzy logic with crow search algorithm
Mazen Sharaf AL-Deen, Lasheng Yu, Ali Aldhubri, et al.
Soft Computing (2022) Vol. 26, Iss. 22, pp. 12611-12622
Closed Access | Times Cited: 10
Analysis of Deep Learning Model Combinations and Tokenization Approaches in Sentiment Classification
Ali Erkan, Tunga Güngör
IEEE Access (2023) Vol. 11, pp. 134951-134968
Open Access | Times Cited: 5
Sentiment Analysis Using Neural Networks: A New Approach
Shiv Dhar, Suyog Pednekar, Kishan Borad, et al.
(2018), pp. 1220-1224
Closed Access | Times Cited: 16
Sentiment Analysis on Tweets with Punctuations, Emoticons, and Negations
Miks Q. Cureg, Juan Aurel D. De La Cruz, Juan Carlos A. Solomon, et al.
(2019), pp. 266-270
Closed Access | Times Cited: 15
Moods in MOOCs: Analyzing Emotions in the Content of Online Courses with edX-CAS
Ruth Cobos, Francisco Jurado, Alvaro Villen
2022 IEEE Global Engineering Education Conference (EDUCON) (2019) Vol. 255, pp. 1467-1474
Closed Access | Times Cited: 14
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