Sentiment analysis and opinion mining on educational data: A survey

SMOTE synthetic minority over-sampling technique

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Latent dirichlet allocation

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Latent Dirichlet Allocation

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VADER: a parsimonious rule-based model for sentiment analysis of social media text

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ADASYN: Adaptive synthetic sampling approach for imbalanced learning

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Sentiment Analysis and Opinion Mining

Liu, B. (2012) · Synthesis lectures on human language technologies · doi:10.2200/s00416ed1v01y201204hlt016 · Cited by 3,995

Recognizing contextual polarity in phrase-level sentiment analysis

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CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICON

Mohammad, S. M., & Turney, P. D. (2012) · Computational Intelligence · doi:10.1111/j.1467-8640.2012.00460.x · Cited by 2,901

SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining

Baccianella, S., Esuli, A., & Sebastiani, F. (2010) · Language Resources and Evaluation Conference (LREC) · doi:10.63317/2jktnrykui9s · Cited by 2,689

Large language models (LLMs): survey, technical frameworks, and future challenges

Kumar, P. (2024) · Artificial Intelligence Review · doi:10.1007/s10462-024-10888-y · Cited by 395

Sentiment analysis methods, applications, and challenges: A systematic literature review

Mao, Y., Liu, Q., & Zhang, Y. (2024) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2024.102048 · Cited by 331

A Large Language Model Approach to Educational Survey Feedback Analysis

Parker, M. J., Anderson, C., Stone, C., & Oh, Y. (2024) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-024-00414-0 · Cited by 93

DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing

Sun, X., Zhang, K., Liu, Q., Shen, S., Wang, F., Guo, Y., & Chen, E. (2025) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2025.3526584 · Cited by 43

Educational data mining: a 10-year review

Kalita, E., Oyelere, S. S., Gaftandzhieva, S. N., Rajesh, K. N. V. P. S., Jagatheesaperumal, S. K., Mohamed, A. S. A., Elbarawy, Y. M., Desuky, A. S., Hussain, S., Çifçi, M. A., et al. (2025) · Discover Computing · doi:10.1007/s10791-025-09589-z · Cited by 66

Bridging human resource development processes through generative Artificial Intelligence

Korzyński, P., Kim, S., & Egan, T. M. (2024) · Human Resource Development Quarterly · doi:10.1002/hrdq.21551 · Cited by 35

Assessing Accuracy: A Study of Lexicon and Rule-Based Packages in R and Python for Sentiment Analysis

Mahmoudi, A., Jemielniak, D., & Ciechanowski, L. (2024) · IEEE Access · doi:10.1109/access.2024.3353692 · Cited by 32

Using data science for sustainable development in higher education

Filho, W. L., Eustachio, J. H. P. P., Nita, A. C., Dinis, M. A. P., Salvia, A. L., Cotton, D., Frizzo, K., Trevisan, L. V., & Dibbern, T. (2023) · Sustainable Development · doi:10.1002/sd.2638 · Cited by 29

ORDSAENet: Outlier Resilient Semantic Featured Deep Driven Sentiment Analysis Model for Education Domain

A, S. B., & N, R. P. K. (2023) · Journal of Machine and Computing · doi:10.53759/7669/jmc202303034 · Cited by 24

Predicting Online Education Dropout: A new Machine Learning Model based on Sentiment Analysis, Socio-demographic, and Behavioral Data

Zerkouk, M., Mihoubi, M., Chikhaoui, B., & Wang, S. (2025) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-025-00472-y · Cited by 28

An empirical study of sentiment analysis utilizing machine learning and deep learning algorithms

Erkantarcı, B., & Bakal, G. (2023) · Journal of Computational Social Science · doi:10.1007/s42001-023-00236-5 · Cited by 21

Expanding AI’s Role in Healthcare Applications: A Systematic Review of Emotional and Cognitive Analysis Techniques

Nag, P. K., Bhagat, A., & Priya, R. V. (2025) · IEEE Access · doi:10.1109/access.2025.3562131 · Cited by 25

Application of SVM and Chi-Square Feature Selection for Sentiment Analysis of Indonesia’s National Health Insurance Mobile Application

Hokijuliandy, E., Napitupulu, H., & Firdaniza, F. (2023) · Mathematics · doi:10.3390/math11173765 · Cited by 19

AI and big data-driven decision support for fostering student innovation in music education at private underground colleges

Liu, L. (2023) · Journal of Information Systems Engineering & Management · doi:10.55267/iadt.07.13840 · Cited by 19

Predicting Facebook sentiments towards research

Shahzad, M., Freeman, C., Rahimi, M., & Alhoori, H. (2023) · Natural Language Processing Journal · doi:10.1016/j.nlp.2023.100010 · Cited by 21

ChatReview: A ChatGPT-enabled natural language processing framework to study domain-specific user reviews

Ho, B., Mayberry, T., Nguyen, K. L., Dhulipala, M., & Pallipuram, V. K. (2023) · Machine Learning with Applications · doi:10.1016/j.mlwa.2023.100522 · Cited by 24

Sentiment Analysis on Social Media Against Public Policy Using Multinomial Naive Bayes

Zulfikar, W. B., Atmadja, A. R., & Pratama, S. F. (2023) · Scientific Journal of Informatics · doi:10.15294/sji.v10i1.39952 · Cited by 18

Linking short- and long-term impacts of the government, consumers, and manufacturers on NEV sales and market share in China

Jing, P., Shao, D., Liu, Y., Chen, Y., & Zhang, S. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.104090 · Cited by 17

Predictive deep reinforcement learning with multi-agent systems for adaptive time series forecasting

Shaik, T., Tao, X., Li, L., Xie, H., Acharya, U. R., Gururajan, R., & Zhou, X. (2025) · Knowledge-Based Systems · doi:10.1016/j.knosys.2025.113941 · Cited by 15

A Hybrid Text Summarization Technique of Student Open-Ended Responses to Online Educational Surveys

Καρούσος, Ν., Vorvilas, G., Pantazi, D., & Verykios, V. S. (2024) · Electronics · doi:10.3390/electronics13183722 · Cited by 13

Exploring Factors Influencing Teachers' Acceptance of AI Tools for Creating Animated Educational Videos With Pedagogical Agents

Malakul, S. (2025) · Journal of Computer Assisted Learning · doi:10.1111/jcal.70083 · Cited by 12

Sentiment analysis of student feedback using attention-based RNN and transformer embedding

Zyout, I., & Zyout, M. (2024) · IAES International Journal of Artificial Intelligence · doi:10.11591/ijai.v13.i2.pp2173-2184 · Cited by 17

FRACTAL-INSPIRED SENTIMENT ANALYSIS: EVALUATION OF LARGE LANGUAGE MODELS AND DEEP LEARNING METHODS

AlSagri, H. S., & Sohail, S. S. (2024) · Fractals · doi:10.1142/s0218348x24400565 · Cited by 12

Advancing sentiment analysis for low-resourced african languages using pre-trained language models

Mabokela, K. R., Primus, M., & Çelik, T. (2025) · PLoS ONE · doi:10.1371/journal.pone.0325102 · Cited by 12

LLMs in Education: Evaluation GPT and BERT Models in Student Comment Classification

Pilicita, A., & Barra, E. (2025) · Multimodal Technologies and Interaction · doi:10.3390/mti9050044 · Cited by 16

Artificial intelligence and validity

Azzam, T. (2023) · New Directions for Evaluation · doi:10.1002/ev.20565 · Cited by 11

Assessing Teacher Competencies in Higher Education: A Sentiment Analysis of Student Feedback

Dervenis, C. (2024) · International Journal of Information and Education Technology · doi:10.18178/ijiet.2024.14.4.2074 · Cited by 10

Sentiment Diffusion in Online Social Networks: A Survey from the Computational Perspective

Han, X., Xu, M., Deng, X., & Wang, B. (2025) · ACM Computing Surveys · doi:10.1145/3736750 · Cited by 13

Text Analytics and Natural Language Processing for Business Insights: A Comprehensive Review

Sinjanka, Y. (2023) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2023.55893 · Cited by 11

A critical review of data mining in education on the levels and aspects of education

Inusah, F., & Missah, Y. M. (2024) · Quality Education for All · doi:10.1108/qea-01-2024-0006 · Cited by 8

Cross-cultural perspectives on entrepreneurship training effectiveness: understanding the role of training duration, methodology, and expertise

Anwar, R. S., Ahmed, R. R., Štreimikienė, D., & Štreimikis, J. (2025) · International Entrepreneurship and Management Journal · doi:10.1007/s11365-025-01099-0 · Cited by 7

A podcast to teach medical humanities at medical school: a text-mining study of students’ lived experience

Roze, E. F., Nilles, C., Louapre, C., Soumet-Leman, B., Renaud, M.-C., Dechartres, A., & Atkinson-Clément, C. (2024) · Medical Education Online · doi:10.1080/10872981.2024.2367823 · Cited by 7

Improving Multi-label Classification Performance on Imbalanced Datasets Through SMOTE Technique and Data Augmentation Using IndoBERT Model

Cahya, L. D., Luthfiarta, A., Krisna, J. I. T., Winarno, S., & Nugraha, A. (2024) · Jurnal Nasional Teknologi dan Sistem Informasi · doi:10.25077/teknosi.v9i3.2023.290-298 · Cited by 27

Exploring emotional dynamics: Word count effects in Facebook posts by sports shoe brands

Hossain, M. S., Babu, M. A., & Yusuf, K. M. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e39808 · Cited by 6

Generative adversarial network-based phishing URL detection with variational autoencoder and transformer

Sasi, J. K., & Balakrishnan, A. (2024) · IAES International Journal of Artificial Intelligence · doi:10.11591/ijai.v13.i2.pp2165-2172 · Cited by 7

Opinion mining of professors' sentiments towards the adoption of technology, the latest teaching trends, and their effectiveness

Mahrishi, M., Rodriguez-Medellin, C. E., Flores, M. D. R. Y., Brito, M. P. G., & Abbas, A. (2024) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2024.101249 · Cited by 7

Dynamic Text Augmentation for Robust Sentiment Analysis: Enhancing Model Performance With EDA and Multi-Channel CNN

Trisna, K. W., Huang, J., Chen, Y., & Putra, I. G. J. E. (2025) · IEEE Access · doi:10.1109/access.2025.3538621 · Cited by 7

Data Augmentation For Sorani Kurdish News Headline Classification Using Back-Translation And Deep Learning Model

Badawi, S. S. (2023) · Kurdistan Journal of Applied Research · doi:10.24017/science/2023.1.4 · Cited by 6

Comparing Random Forest and XGBoost for Sentiment Classification of Student Social Media Posts: A Case Study on Pre-Board Exam Stress

Saklani, S., Manchanda, M., Bisht, G., & Thapa, K. (2025) · Global Conference in Emerging Technology (GINOTECH) · doi:10.1109/ginotech63460.2025.11076620 · Cited by 5

Data Mining to Identify University Student Dropout Factors

Marín, Y. R., Huatangari, L. Q., Caro, O. C., Guevara, J. L. M., Tuesta, J. N. A., Bardales, E. S., & Santos, R. C. (2025) · Applied Sciences · doi:10.3390/app152211911 · Cited by 5

Application of Sentiment Analysis in Diverse Domains

Sweta, S. (2024) · SpringerBriefs in applied sciences and technology · doi:10.1007/978-981-97-2474-1_2 · Cited by 7

Evaluating the quality of digital education resources based on learners’ online reviews through topic modeling and opinion mining

Zhang, L., Jiang, Q., Xiong, W., & Zhao, W. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13407-w · Cited by 5

The role of AI in shaping educational experiences in computer science: A systematic review

Golrang, A., & Sharma, K. (2025) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2025.100199 · Cited by 9

Machine Learning Models for Sentiment Analysis: State of the Art and Applications

Anwar, K., Garg, A., Ahmad, S., & Wasid, M. (2024) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt61001.2024.10726197 · Cited by 5

Student Perspectives on Teacher Interpersonal Behaviours in AI ‐Mediated Higher Education: A Q Methodology Study

Jalilzadeh, K., Çelık, F., & Duran, V. (2025) · European Journal of Education · doi:10.1111/ejed.70293 · Cited by 5

SentXFormer: a transformer-enhanced hybrid deep learning framework for cross-domain sentiment analysis of customer reviews

Kumar, A., Abhishek, K., & M, A. S. B. (2025) · Scientific Reports · doi:10.1038/s41598-025-33526-1 · Cited by 4

A Context-Aware Framework for Sentiment Analysis of Student Feedback to Inform Educational Strategies in Latin America

Pineda-Briseño, A., Oblitas, J., Sánchez, L. C., Gómez, W. A. S., & Baltazar, R. (2026) · Education Sciences · doi:10.3390/educsci16030399 · Cited by 4

Determining Intent: Sentiment Analysis Based on the Classification of Indonesian Tourist Destination Review Texts

Muhammad, A., Defit, S., & Nurcahyo, G. W. (2024) · Journal of Advances in Information Technology · doi:10.12720/jait.15.10.1106-1116 · Cited by 4

Affective knowledge assisted bi-directional learning for Multi-modal Aspect-based Sentiment Analysis

Shi, X., Yang, M., Hu, M. Q., Ren, F., Kang, X., & Ding, W. (2024) · Computer Speech & Language · doi:10.1016/j.csl.2024.101755 · Cited by 5

AI-driven educational transformation in ICT: Improving adaptability, sentiment, and academic performance with advanced machine learning

Imran, A., Li, J., & Alshammari, A. (2025) · PLoS ONE · doi:10.1371/journal.pone.0317519 · Cited by 14

Multi-task learning for aspect level semantic classification combining complex aspect target semantic enhancement and adaptive local focus

Zhu, Q., Wang, X., Liu, X., Du, W., & Ding, X. (2023) · Mathematical Biosciences & Engineering · doi:10.3934/mbe.2023824 · Cited by 5

Hybrid Deep Learning Model to Predict Students’ Sentiments in Higher Educational Institutions

Ananthi Claral Mary, T. (2025) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v19i01.50883 · Cited by 4

X (Twitter) Sentiment Analysis Based on Hybrid Approach: An Application for Online Food Ordering

GÜNEŞ, Y., & Arıkan, M. (2025) · Bilişim Teknolojileri Dergisi · doi:10.17671/gazibtd.1616709 · Cited by 4

The Effectiveness of the Ensemble Naive Bayes in Analyzing Review Sentiment of the Lazada Application on Google Play

Hashim, K. A., Sibaroni, Y., & Prasetyowati, S. S. (2024) · ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) · doi:10.1109/icetsis61505.2024.10459562 · Cited by 4

Online Verbal Aggression on Social Media During Times of Political Turmoil: Discursive Patterns from Poland’s 2020 Protests and Election

Domalewska, D. (2025) · Journalism and Media · doi:10.3390/journalmedia6030146 · Cited by 3

Comparing Optimizer Strategies For Enhancing Emotion Classification In IndoBERT Models

Krisna, J. I. T., Luthfiarta, A., Cahya, L. D., Winarno, S., & Nugraha, A. (2024) · Advance Sustainable Science Engineering and Technology · doi:10.26877/asset.v6i2.18228 · Cited by 15

A Review of Different Machine Learning Techniques for Fake Review Identification

Mane, K., & Dongre, S. (2024) · International Conference on Data Intelligence and Cognitive Informatics (ICDICI) · doi:10.1109/icdici62993.2024.10810890 · Cited by 3

Sentiment Analysis Using Transformer Models: BERT, T5, and GPT

Sokolová, Z., Harahus, M., Sokol, M., Kupcová, E., & Pleva, M. (2025) · International Conference Radioelektronika · doi:10.1109/radioelektronika65656.2025.11008427 · Cited by 3

Taxonomy of Opinion Mining, Approaches and Domain Applications: Future Research Direction

Ujah-Ogbuagu, B. C., Ameen, A. O., Okwueleka, F. N., & Ogbuokiri, B. (2025) · SN Computer Science · doi:10.1007/s42979-025-04141-8 · Cited by 3

Leveraging Learning Analytics to Improve Student Engagement

Çiğdem, H., & Öncü, S. (2023) · Advances in educational technologies and instructional design book series · doi:10.4018/978-1-6684-9527-8.ch004 · Cited by 3

AutoBloom: AI-Based Classification of Cognitive Levels in Educational Content

Shaik, T., Tao, X., Li, L., Sun, Y., Li, Y. H. M., Zhang, J., & Dann, C. E. (2023) · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wi-iat59888.2023.00081 · Cited by 3

Sentiment Analysis of Student Evaluation of Teaching Based on Bi-LSTM Algorithm

Yuan, H., & Hernandez, A. A. (2023) · IEEE International Conference on Advanced Infocomm Technology · doi:10.1109/icait59485.2023.10367267 · Cited by 3

Aspect Level Sentiment Analysis with CNN Bi-LSTM and Attention Mechanism

Lin, J., & Najafabadi, M. K. (2023) · IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science (BCD) · doi:10.1109/bcd57833.2023.10466355 · Cited by 3

Emerging Trends and Challenges in Educational Sentiment Analysis

Sweta, S. (2024) · SpringerBriefs in applied sciences and technology · doi:10.1007/978-981-97-2474-1_5 · Cited by 3

Evidence-driven appraisal of students’ careers using process mining: a case study

Diamantini, C., Genga, L., Mircoli, A., & Potena, D. (2024) · Journal of Intelligent Information Systems · doi:10.1007/s10844-024-00904-6 · Cited by 3

Aspect-based sentiment analysis of open-ended responses in student course evaluation surveys

Alotaibi, R. (2024) · Thermal Science · doi:10.2298/tsci2406037a · Cited by 3

Systematic mapping study of tools to identify emotions and personality traits

Islam, A., Noor, N. F. B. M., & Rahman, S. S. A. (2025) · Discover Artificial Intelligence · doi:10.1007/s44163-025-00271-3 · Cited by 3

Breaking classification Algorithms: A Black-Box Adversarial Attack for Data Poisoning

Lourdu Mahimai Doss, P., & Gunasekaran, M. (2023) · International Conference on Innovations in Engineering and Technology (ICIET) · doi:10.1109/iciet57285.2023.10220588 · Cited by 3

An enhanced LSTM-CRF based approach for Knowledge Integration based Sentiment Analysis

Balaram, A., Silparaj, M., Sree, K. L., Kumar, V., Kumar, D. V., & Reddy, K. (2025) · International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC) · doi:10.1109/isacc65211.2025.10969332 · Cited by 2

Combining RPA and AI to recognize learners’ emotions in Cyberspace: Experiment at some Vietnamese universities

Chu, V.-H., Pham, X., & Nguyen, T.-S. (2025) · International Conference on Computer Science and Technologies in Education (CSTE) · doi:10.1109/cste64638.2025.11092155 · Cited by 2

BOARD #56A: Student Feedback Analysis Using Natural Language Processing (NLP) and Sentiment Analysis

Badhan, S. J., Samsami, R., & Nossoni, G. (2025) · ASEE Annual Conference & Exposition · doi:10.18260/1-2--56002 · Cited by 2

Online Public Opinion Situation Assessment by Deep Sparse Autoencoder and Time-Series Modeling Convolutional Neural Network

Sun, W., Xiao, R., & Li, X. (2025) · IEEE Access · doi:10.1109/access.2025.3602491 · Cited by 2

Classification of Sentiment Analysis and Community Opinion Modeling Topics for Application of ICT in Government Operations

Risal, A. A. N., Fathahillah, F., & Sulaiman, D. R. A. (2023) · International Journal of Environment Engineering and Education · doi:10.55151/ijeedu.v5i1.99 · Cited by 2

Analisis Sentimen Menggunakan Metode Klasifikasi Support Vector Machine (SVM) dan Seleksi Fitur Chi-Square

Hokijuliandy, E., Napitupulu, H., & Firdaniza, F. (2023) · SisInfo Jurnal Sistem Informasi dan Informatika · doi:10.37278/sisinfo.v5i2.670 · Cited by 2

Cold-curing mixtures based on biopolymer lignin complex for casting production in single and small-series conditions

Al-Saraireh, F. M. (2023) · AIMS Materials Science · doi:10.3934/matersci.2023047 · Cited by 2

The Impact on Employability by COVID-19 Pandemic - AI Case Studies

Bandi, V. B., Tao, X., Shaik, T., Yong, J., & Zhang, J. (2023) · Lecture notes in computer science · doi:10.1007/978-981-99-7254-8_66 · Cited by 2

The ChatGPT Impact on Education: A Comprehensive Bibliometric Review

Utama, I. D., Sudirman, I. D., Nugraha, D. Y., Kurnianingrum, D., & Karmagatri, M. (2024) · Journal of Higher Education Theory and Practice · doi:10.33423/jhetp.v24i5.6996 · Cited by 3

EDUCATIONAL DATA MINING AND LEARNING ANALYTICS: TEXT GENERATORS USAGE EFFECT ON STUDENTS’ GRADES

Pliuskuvienė, B., Radvilaitė, U., Juodagalvytė, R., Ramanauskaitė, S., & Stefanovič, P. (2024) · New Trends in Computer Sciences · doi:10.3846/ntcs.2024.21318 · Cited by 2

Pipelining Semantic Expansion and Noise Filtering for Sentiment Analysis of Short Documents – CluSent Method

Viegas, F. A. R., Canuto, S., da Cunha, W. L. M., França, C., de Andrade, C. M. V., Fonseca, G., Machado, A. C., da Rocha, L. C. D., & Gonçalves, M. A. (2024) · Journal on Interactive Systems · doi:10.5753/jis.2024.4117 · Cited by 2

Discovering Personal Data Security Issues: Insights from “Have I Been Pwned”

Hiền, T. N. T., Sangsongfa, A., & Amdee, N. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-70906-7_22 · Cited by 2

Fusion Text Representations to Enhance Contextual Meaning in Sentiment Classification

Trisna, K. W., Huang, J., Liang, H., & Dharma, E. M. (2024) · Applied Sciences · doi:10.3390/app142210420 · Cited by 2

NLP-Based Sentiment Analysis for Evaluating Student Feedback in English Language Education

Mayormente, M. D., & Gumpal, B. R. (2025) · International Conference on Multi-Agent Systems for Collaborative Intelligence (ICMSCI) · doi:10.1109/icmsci62561.2025.10894214 · Cited by 2

Data-Driven Policy Making Framework Utilizing TOWS Analysis

Son, Y., Kim, Y. T., & Choi, Y. (2025) · IEEE Access · doi:10.1109/access.2025.3572908 · Cited by 2

Investigating relationships of sentiments, emotions, and performance in professional development K-12 CS teachers

Liu, Y. F., Soh, L., Trainin, G., Nugent, G., & Smith, W. (2024) · Computer Science Education · doi:10.1080/08993408.2023.2298162 · Cited by 2

Deep Learning Model to Improve Teaching-Learning Process using Sentiment Analysis

Chauhan, G. S., Garg, N., Nahta, R., & Meena, Y. K. (2023) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt56998.2023.10306886 · Cited by 1

Educational Data Mining in European Union – Achievements and Challenges: A Systematic Literature Review

Simionescu, C., Danubianu, M., Gradinaru, B. C. P., & Măciucă, M. S. (2024) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2024.0150386 · Cited by 1

Work in Progress: Use of Natural Language Processing in the Evaluation of University Satisfaction Level

Oblitas, J., & Pineda-Briseño, A. (2024) · IEEE World Engineering Education Conference (EDUNINE) · doi:10.1109/edunine60625.2024.10500583 · Cited by 1

A Comparison Between Transformers and Foundation Models in Sentiment Analysis of Student Evaluation of Teaching

Vega, I., Valencia, J., Arcos, Á., Navarrete, D., & Baldeon-Calisto, M. (2024) · International Symposium on Digital Forensics and Security (ISDFS) · doi:10.1109/isdfs60797.2024.10527264 · Cited by 1

Aspect Level Sentiment Analysis with CNN Bi-LSTM and Attention Mechanism

Lin, J., & Najafabadi, M. K. (2023) · ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter) · doi:10.1109/snpd-winter57765.2023.10466355 · Cited by 1

What do Computing Interns Discuss Online? An Empirical Analysis of Reddit Posts

Popoola, S., Vollem, A., & Nti, I. K. (2025) · Conference on Information Technology Education · doi:10.1145/3769694.3771103 · Cited by 3

Sentiment Analysis of MOOC Reviews Based on Knowledge Dependency Tree

Wang, H., & Jiao, J. (2025) · ACM Transactions on Asian and Low-Resource Language Information Processing · doi:10.1145/3713073 · Cited by 1

CBLTwitter: Twitter disaster detection analysis using CNN-BiLSTM deep learning methods

Çetıner, H., & Yüksel, H. (2025) · Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi · doi:10.17714/gumusfenbil.1653072 · Cited by 1

Integrating Emotional Intelligence Assessment with Sentiment Analysis Using Explainable Machine Learning for Predicting the Developmental Potential of Children: A Literature Review

Shyamala, B., & Acharya, P. S. (2025) · International Journal of Management Technology and Social Sciences · doi:10.47992/ijmts.2581.6012.0391 · Cited by 1

Assessing Student Engagement: A Machine Learning Approach to Qualitative Analysis of Institutional Effectiveness

Ahmed, A., Hayes, M. J., & Joorabchi, A. (2025) · Future Internet · doi:10.3390/fi17100453 · Cited by 1

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What Is AI? The Need for AI Literacy in Education

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Sentiment Analysis of Learning Management Systems Using Fine-Tuned BERT

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Natural Language Processing for Pedagogical Insight: A Study of User Reviews in Teacher Training Simulators

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Does Digitalisation Promote the Servicification of Manufacturing? Firm‐Level Evidence From China

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Unveiling Sentiment Nuances: Comparative Study on Aspect Based Sentiment Analysis Approaches

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Sentiment Mining in E-Learning Using ML ModelsPreprint

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Using Opinion Mining as an educational analytic: An integrated strategy for the analysis of students’ feedback

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A Survey on Sentimental Analysis of Student Reviews Using Natural Language Processing (NLP) and Text Mining

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Literature Survey of Lexicon based method and Machine Learning methods of Sentiment Analysis of Student’s Feedback

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