APPLICATION OF CHATBOT AI IN THE CREATION OF WEB MINING PROGRAMS AND THEIR ANALYSIS

Luka Ilić; Aleksandar Šijan; Bratislav Predić

doi:10.5937/jpmnt11-46801

Luka Ilić Faculty of Electronic Engineering, University of Niš, Niš, Serbia
Aleksandar Šijan Faculty of Electronic Engineering, University of Niš, Niš, Serbia
Bratislav Predić Faculty of Electronic Engineering, University of Niš, Niš, Serbia

DOI: https://doi.org/10.5937/jpmnt11-46801

Sažetak

Artificial intelligence and ChatGPT became very popular in late November 2022. Their popularity has led to the development of other chat AI systems and AI tools. In order to monitor this progress and achieve key goals in the application of artificial intelligence, this paper has the task of presenting an analysis of the generated web mining program. One of the key aspects of this research is the presentation of advantages and disadvantages of this approach, including analysis of accuracy, speed and reliability. Also, potential challenges in the application of artificial intelligence (especially chat systems), such as the limitations of AI models, ethical and security aspects when processing data from the Internet, are explored. This research paper aims to contribute to a better understanding of the capabilities of AI in the development of web mining programs, identify potential areas of improvement and provide guidance for future development.

Reference

Adamopoulou E., Moussiades L., (2020). An Overview of Chatbot Technology, Artificial Intelligence Applications and Innovations, 373-383

Branković S., (2017). Veštačka inteligencija i društvo, Srpska politička misao, 5-12

Chen, H., & Chau, M. (2004). Web mining: Machine learning for web applications. Annual review of information science and technology, 38(1), 289-329.

Dzitac I., Moisil I., (2017) Advanced AI techniques for web mining, MAMECTIS'08

Gheisari, M., Hamidpour, H., Liu, Y., Saedi, P., Raza, A., Jalili, A., ... & Amin, R. (2023). Data Mining Techniques for Web Mining: A Survey. In Artificial Intelligence and Applications (Vol. 1, No. 1, pp. 3-10).

Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT press.

Helm, J. M., Swiergosz, A. M., Haeberle, H. S., Karnuta, J. M., Schaffer, J. L., Krebs, V. E., ... & Ramkumar, P. N. (2020). Machine learning and artificial intelligence: definitions, applications, and future directions. Current reviews in musculoskeletal medicine, 13, 69-76.

https://openai.com/ (25.08.2023)

https://www.academia.edu/80557057/AI_in_Web_Mining (25.08.2023)

https://www.geeksforgeeks.org/web-mining/ (25.08.2023)

https://www.sas.com/en_us/insights/analytics/what-is-artificial-intelligence.html (25.08.2023)

https://www.sciencedirect.com/topics/computer-science/web-mining (21.08.2023)

https://www.techtarget.com/whatis/definition/ChatGPT (25.08.2023)

Kareem K., Ibrahim J., Ahmed J, (2021). Web Mining Techniques and Technologies: A Landscape View, Journal of Physics: Conference Series, 1-13

Karthigeiyan, K., & Devi, M. D. (2023). Farm Track Application Development Using Web Mining and Web Scraping. Advances in Science and Technology, 124, 566-573.

Kujundžić M., (2015). Analiza modela predviđanja trendova kretanja cijena vrijednosnih papira, Sveučilište u Rijeci, Tehnički fakultet, 2-30

Lalitha, T. B., & Sreeja, P. S. (2023). Potential Web Content Identification and Classification System using NLP and Machine Learning Techniques. International Journal of Engineering Trends and Technology, 71(4), 403-415.

Mangat, P. K., & Saini, K. S. (2022). Relevance of data mining techniques in real life. In System Assurances (pp. 477-502). Academic Press.

Milošević B., Milošević D., Obradović S., (2014). Mašinsko učenje u obrazovanju, Infoteh Jahorina, 1-5

Mitchell R., (2018). Web Scraping with Python, Allite books, 3-103, 215-218

Rahimi, F., & Danesh, F. (2023). Analyzing Persian Wikipedia's citations to discover the effectiveness of Persian scientific papers: applied web mining techniques. Performance Measurement and Metrics, 24(2), 85-100.

Samanta, D., Dutta, S., Galety, M. G., & Pramanik, S. (2022). A novel approach for web mining taxonomy for high-performance computing. In Cyber Intelligence and Information Retrieval: Proceedings of CIIR 2021 (pp. 425-432). Springer Singapore.

Shan T., Tay F. R., Gu L., (2020). Application of Artificial Intelligence in Dentistry

Sharma K., Sharivastava G., Kumar V., (2018). Web Mining: Today and Tomorrow, TarjomeFa, 1-5

Siddiqui, A. T., & Aljahdali, S. (2013). Web mining techniques in e-commerce applications. arXiv preprint arXiv:1311.7388.

Stojanović M., Cvetković S., Stančić G., (2017). Poređenje metoda mašinskog učenja za predikciju trenda promene finansijskih vremenskih serija, Infoteh Jahorina, 1-4

Ting, I. H. (2008). Web mining techniques for on-line social networks analysis. In 2008 International Conference on Service Systems and Service Management (pp. 1-5). IEEE.

Zhao B., (2017). Web Scraping, Encyclopedia of Big Data, 1-4

Zhu J. J., Jiang J., Yang M., Ren Z. J., (2023). ChatGPT and Environmental Research, American Chemical Society, 1-4