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Deep-learning approach to Educational Text Mining and Application to the Analysis of Topics' Difficulty

Lourdes Araujo, Fernando Lopez-Ostenero, Juan Martinez-Romo, Laura Plaza
2020 IEEE Access  
The authors thank to Hermenegildo Fabregat for providing the char pretrained embeddings. Appendix A. Questionnaire  ...  ACKNOWLEDGEMENT This work has been partially supported by the UNED 2019 project for Innovation group INEDA (GID2017-1) for the collection of data.  ...  Educational data mining and learning analytics have been considered in a large amount of works and applications [2] , [22] , [23] , leading to a new generation of learning tools and educational paradigms  ... 
doi:10.1109/access.2020.3042099 fatcat:jwzdx6ueane7zmk5j4rgcpybdy

A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis

Thanveer Shaik, Xiaohui Tao, Yan Li, Christopher Dann, Jacquie McDonald, Petrea Redmond, Linda Galligan
2022 IEEE Access  
This research focuses on existing NLP methodologies and applications that could be adapted to educational domain applications like sentiment annotations, entity annotations, text summarization, and topic  ...  Machine learning, deep learning, and natural language processing (NLP) are subsets of AI to tackle different areas of data processing and modelling.  ...  Tao, and C. Dann, methodology: T. Shaik, X. Tao, and Y. Li, formal analysis: T. Shaik and X. Tao, investigation: T. Shaik, X. Tao, Y.  ... 
doi:10.1109/access.2022.3177752 fatcat:fqc5337phndufia2lofgsg3bzi

Analysis Of Behavior Extraction On Social Life Issues Using Sentiment Analysis: A Review

Obaidullah, Dr. Faiyaz Ahmad
2019 International Journal of Research in Advent Technology  
Our goal is to retrieve data from a social site and our machine will decide what is the emotion of a particular person related to any topics.  ...  When we take a shot at unstructured information then numerous issues emerge in text mining.  ...  So the author tried to do research on text mining of these post.  ... 
doi:10.32622/ijrat.76201960 fatcat:auhjlvyvhvcalmznhi7umaxjte

Special Issue on "Natural Language Processing: Emerging Neural Approaches and Applications"

Massimo Esposito, Giovanni Luca Masala, Aniello Minutolo, Marco Pota
2021 Applied Sciences  
Nowadays, systems based on artificial intelligence are being developed, leading to impressive achievements in a variety of complex cognitive tasks, matching or even beating humans [...]  ...  Acknowledgments: We would like to thank all the authors, the dedicated referees, the editor team of applied sciences for their valuable contributions, making this special issue a success.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app11156717 fatcat:za7ue7daefc3bchbndvs6guo2q

Opinion mining for national security: techniques, domain applications, challenges and research opportunities

Noor Afiza Mat Razali, Nur Atiqah Malizan, Nor Asiakin Hasbullah, Muslihah Wook, Norulzahrah Mohd Zainuddin, Khairul Khalil Ishak, Suzaimah Ramli, Sazali Sukardi
2021 Journal of Big Data  
Most of the study addressed methods including machine learning, lexicon-based approach, hybrid approach, and Kansei approach in mining the sentiment and emotion based on text.  ...  Also, this theoretical analysis will act as a reference to researchers regarding the Kansei approach as one of the techniques to improve hybrid approaches in opinion mining.  ...  Acknowledgements This research is fully supported by the National Defence University of Malaysia (UPNM) and the Ministry of Higher Education Malaysia (MOHE) under FRGS/1/2021/ICT07/UPNM/02/1.  ... 
doi:10.1186/s40537-021-00536-5 pmid:34900516 pmcid:PMC8642766 fatcat:gnbhgoafnngkzdyjspvrqqgxli

Educational Anomaly Analytics: Features, Methods, and Challenges

Teng Guo, Xiaomei Bai, Xue Tian, Selena Firmin, Feng Xia
2022 Frontiers in Big Data  
, and prediction of difficulty in employment.  ...  Previous research in this field used questionnaires, which are time- and cost-consuming and hardly applicable to large-scale student cohorts.  ...  Student performance analysis and prediction in classroom learning: a review of educational data mining studies. Educ. Inf.  ... 
doi:10.3389/fdata.2021.811840 pmid:35098114 pmcid:PMC8795666 fatcat:2cejzd6kkvesbly6ytxfy5lb2e

Efficient Data Mining Model for Question Retrieval and Question Analytics using Semantic Web Framework in Smart E-Learning Environment

Subhabrata Sengupta, Anish Banerjee, Satyajit Chakrabarti
2022 International Journal of Emerging Technologies in Learning (iJET)  
In any case, with the latest progressions in profound learning and AI models, calculations, applications brilliant and computerized data recovery component matched with text examination to decide different  ...  The aim is to make an efficient data mining and an analytical model that can automate an efficient question retrieval and analysis for complexity and weight-age determination.  ...  These will also help in auto evaluation of the examination.  ... 
doi:10.3991/ijet.v17i01.25909 doaj:3934c6203cf94e27950c6c7947d99497 fatcat:ggayiquhira2znvwvig5mtxh4a

Analysis of Ghanaian Political Sentiments using Deep Learning and Machine Learning Approaches

Charles Jnr. Asiedu, Qian Cao, Xiulan Hao
2022 Zenodo  
Subsequently, the performance of the deep learning and machine learning approaches will be evaluated.  ...  In this paper, an attempt is made to mine tweets, capture political sentiments, and analyze it by performing deep learning and machine learning models on the tweets.  ...  Xiulan Hao for being a great supervisor and a mentor, and thank you to all co-authors of this study for their maximum contributions. References  ... 
doi:10.5281/zenodo.6369297 fatcat:eyqtf7ds3jbhfbpqrvi7x3robu

Guest Editorial Preface Deep Learning, Ubiquitous, and Toy Computing

Alvaro Joffre Uribe Quevedo, Patrick C. K. Hung, Shih-Chia Huang, Sarajane Marques Peres
2018 Computers in Entertainment  
At the same time, the processing and analysis of deep learning applications present methodological and technological challenges.  ...  In addition to data, text, and machine mining research, businesses and policymakers have seized on deep learning technologies to support their decisions and proper growing smart application needs.  ...  The results highlight the potential of the network in supporting learning in a wide variety of disciplines where engaging and entertainment applications are employed to develop skills.  ... 
doi:10.1145/3180663 fatcat:5nah7uctfze2doh5xnzzd7zq7i

Sentiment Analysis and Topic Modeling on Tweets about Online Education during COVID-19

Muhammad Mujahid, Ernesto Lee, Furqan Rustam, Patrick Bernard Washington, Saleem Ullah, Aijaz Ahmad Reshi, Imran Ashraf
2021 Applied Sciences  
Machine learning approaches have been largely used both for annotation and text and sentiment analysis.  ...  Machine learning and deep learning approaches have shown their suitability, capability, and potential for image processing, object detection, and natural language processing tasks and text analysis is  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/app11188438 fatcat:pnd53qulpfclropcwbb65y3lza

Advanced neural network systems for solving complex real problems

Olga Valenzuela, Fernando Rojas, Ignacio Rojas
2021 Neural Processing Letters  
As in previous editions, we strongly emphasize the wide range of topics comprised under the umbrella of IWANN2019 and, in particular, we focus on trending topics such as Deep Learning and Big Data.  ...  Besides, we offer the possibility to carry out a limited number of virtual presentations for those who want to participate but they have serious difficulties on travelling.  ...  The use of deep learning (DL) is one of the most active topics currently in the field of artificial neural networks, however training deep neural networks from scratch is not easy.  ... 
doi:10.1007/s11063-021-10542-6 fatcat:64yftwndvvd3hf2gn75pr2oklm

Intelligent Recognition and Teaching of English Fuzzy Texts Based on Fuzzy Computing and Big Data

Ling Liu, Sang-Bing Tsai, Yuanpeng Zhang
2021 Wireless Communications and Mobile Computing  
In this paper, we conduct in-depth research and analysis on the intelligent recognition and teaching of English fuzzy text through parallel projection and region expansion.  ...  word vectors are learned using the Fast text model under the extended dictionary word set.  ...  Studying this topic is of great importance both at the algorithmic level and at the application level.  ... 
doi:10.1155/2021/1170622 fatcat:sogc5dzlkjdfhgn45nri6tk72q

What are the Latent Topics Associated with Experience in Flipped Learning? An Empirical Investigation of University Students' Interview Responses

Kyung-Hee Park, Yong-Hwan Bang
2021 International Journal of Emerging Technologies in Learning (iJET)  
This study conducted text mining analysis, and topic modeling method from the selected 102 SSCI and Scopus level research articles on FL.  ...  The result of the study categorized the findings from the pure text analysis into three themes for the FL which were 'teacher and classroom', 'motivation and students' growth', 'educational needs and difficulties  ...  Discussions and implications This study explored university students' learning experience in flipped learning with the chosen method of text mining approach to the collected 102 research articles.  ... 
doi:10.3991/ijet.v16i17.23375 fatcat:kux4w6ccnna7pggyk4e3rghlam

Hybrid Sentiment Analyzer for Opinion Mining: Indian Admission Scenario

2020 International journal of recent technology and engineering  
Major topics discussed in tweets and the fundamental emotions contained are obtained as results along with the polarity of the tweets  ...  Tweeter data of Indian Institute of Technology (IIT) admission has been used to collect the data in order to conduct the experiment.  ...  Because of this limitation, many tweets cannot be analysed. To overcome this limitation, Deep learning techniques can be explored as solutions.  ... 
doi:10.35940/ijrte.d4895.119420 fatcat:gxbtcpx6effqdp2hjtpe3m3ify

An Exploratory Study of Cognitive Sciences Applied to Cybersecurity

Roberto O. Andrade, Walter Fuertes, María Cazares, Iván Ortiz-Garcés, Gustavo Navas
2022 Electronics  
For achieving this, we developed exploratory research based on two steps: (1) a text mining process to identify main interest areas of research in the cybersecurity field and (2) a valuable review of the  ...  The model we propose tries to fill the gap in automatizing cognitive science without taking into account the users' learning processes.  ...  Additionality, we want to thank the members of the group IDEIAGEOCA for all their support in the research. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/electronics11111692 fatcat:w64k5p6rc5at5ak6d4xfpuol5m
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