Medicine

Opinion mining of student regarding educational system using online platform

Authors

  • Muhammad Irfan

    The University of Lahore, Sargodha campus
    Author
  • Anwar khan

    The University of Lahore, Sargodha campus
    Author
  • Muhammad Usman

    The University of Lahore, Sargodha campus
    Author
  • Muhammad Waqas Haider

    The University of Lahore, Sargodha campus
    Author

DOI:

https://doi.org/10.71107/kx23gt95

Keywords:

Environment, Covid-19, Data mining technique

Abstract

Covid-19 is a virus that is spread rapidly around the world. World Health Organization announced social distancing to control the spread of that virus. All institutions are closed in Pakistan. Education was also effecting with this shutdown. In the age of computing, social computing has emerged as a means of sharing knowledge, conveying ideas, and forming academic discussion groups, to name a few. Social websites or apps are also used for online study due to some critical situation as if nowadays we are facing many problems due to covid-19. Due to the covid-19 educational system is disturbed for that purpose we are introducing a different online platform for delivering knowledge and continue the educational system Many data mining techniques are applied to social network data for online analysis due to a large number of users and widespread use. This paper describes a method for extracting and analyzing master's student comments from the online survey that which platform is better for online study and also giving the opinion about most used platform. The proposed technique is implemented using different models or algorithms. By providing various preform as and analyzing various student opinions, the said system may assist the administration in improving the learning environment.

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References

[1] K. Mouthami, K. N. Devi, V. M. Bhaskaran, Sentiment analysis and classifica- tion based on textual reviews, in: 2013 international conference on Information communication and embedded systems (ICICES), IEEE, 2013, pp. 271–276. DOI: https://doi.org/10.1109/ICICES.2013.6508366

[2] G. Vinodhini, R. Chandrasekaran, Sentiment analysis and opinion mining: a sur- vey, International Journal 2 (6) (2012) 282–292.

[3] Kainat, F., Ilyas, S., Jabeen, N., & Hussain, A. (2025). Advancements in Layered Double Hydroxide (LDH) Nanosheets: Preparation Techniques and Optoelectronic Applications. In Layered Nanomaterials for Solution-Processed Optoelectronics (pp. 295-317). CRC Press. DOI: https://doi.org/10.1201/9781003509509-11

[4] Jabeen, N., Hussain, A., Ahmad, I., & Ali, J. (2025). MXenes-based hybrid for electrochemical sensing application. In MXenes as Emerging Modalities for Environmental and Sensing Applications (pp. 203-215). Elsevier. https://doi.org/10.1016/B978-0-443-21853-8.00012-8 DOI: https://doi.org/10.1016/B978-0-443-21853-8.00012-8

[5] N. Tanwani, S. Kumar, A. H. Jalbani, S. Soomro, M. I. Channa, Z. Nizamani, Student opinion mining regarding educational system using facebook group, in: 2017 First International Conference on Latest trends in Electrical Engineering and Computing Technologies (INTELLECT), IEEE, 2017, pp. 1–5. DOI: https://doi.org/10.1109/INTELLECT.2017.8277622

[6] V. Kagklis, A. Karatrantou, M. Tantoula, C. T. Panagiotakopoulos, V. S. Verykios, A learning analytics methodology for detecting sentiment in student fora: A case study in distance education., European Journal of Open, Distance and E-learning 18 (2) (2015) 74–94

[7] A. Abdelrazeq, D. Janßen, C. Tummel, S. Jeschke, A. Richert, Sentiment analysis of social media for evaluating universities, in: Automation, Communication and Cybernetics in Science and Engineering 2015/2016, Springer, 2016, pp. 233–251. DOI: https://doi.org/10.1007/978-3-319-42620-4_19

[8] W. Jie, L. Hai-yan, C. Biao, Z. Yuan, Application of educational data mining on analysis of students’ online learning behavior, in: 2017 2nd International Confer- ence on Image, Vision and Computing (ICIVC), IEEE, 2017, pp. 1011–1015. DOI: https://doi.org/10.1109/ICIVC.2017.7984707

[9] E. P. Yildiz, M. Tezer, H. Uzunboylu, Student opinion scale related to moodle lms in an online learning environment: Validity and reliability study., International Journal of Interactive Mobile Technologies 12 (4) (2018).

[10] R. Oramas Bustillos, R. Zatarain Cabada, M. L. Barr´on Estrada,

Y. Herna´ndez P´erez, Opinion mining and emotion recognition in an intelligent learning environment, Computer Applications in Engineering Education 27 (1) (2019) 90–101.

[11] T. Chen, L. Peng, B. Jing, C. Wu, J. Yang, G. Cong, The impact of the covid-19 pandemic on user experience with online education platforms in china, Sustain- ability 12 (18) (2020) 7329. DOI: https://doi.org/10.3390/su12187329

[12] R. Yang, Machine learning and deep learning for sentiment analysis over students’ reviews: An overview study (2021). DOI: https://doi.org/10.20944/preprints202102.0108.v1

[13] V. Kagklis, A. Karatrantou, M. Tantoula, C. T. Panagiotakopoulos, V. S. Verykios, A learning analytics methodology for detecting sentiment in student fora: A case study in distance education., European Journal of Open, Distance and E-learning 18 (2) (2015) 74–94 DOI: https://doi.org/10.1515/eurodl-2015-0014

[14] R. Oramas Bustillos, R. Zatarain Cabada, M. L. Barr´on Estrada,

Y. Herna´ndez P´erez, Opinion mining and emotion recognition in an intelligent learning environment, Computer Applications in Engineering Education 27 (1) (2019) 90–101. DOI: https://doi.org/10.1002/cae.22059

[15] V. Dhanalakshmi, D. Bino, A. M. Saravanan, Opinion mining from student feed- back data using supervised learning algorithms, in: 2016 3rd MEC international conference on big data and smart city (ICBDSC), IEEE, 2016, pp. 1–5 DOI: https://doi.org/10.1109/ICBDSC.2016.7460390

[16] E. P. Yildiz, M. Tezer, H. Uzunboylu, Student opinion scale related to moodle lms in an online learning environment: Validity and reliability study., International Journal of Interactive Mobile Technologies 12 (4) (2018). DOI: https://doi.org/10.3991/ijim.v12i4.9205

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Published

2025-04-17

How to Cite

Opinion mining of student regarding educational system using online platform. (2025). Conclusions in Medicine, 1(1), 6-12. https://doi.org/10.71107/kx23gt95

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