From Unstructured Data to Insights: Understanding the Role of ChatGPT in the Rising Trend of AI Chatbots in Web Publications
DOI:
https://doi.org/10.37075/YB.2023.1.02Keywords:
Chat GPT, AI, Chatbots, Unstructured data, Web publications, Trend analysisAbstract
In this research, we delve into the expanding presence of AI chatbots in online media. Leveraging data mining and natural language processing, we dissected unstructured data from web publications to track the trajectory of chatbot popularity, focusing on OpenAI’s ChatGPT. Our findings reveal a pronounced uptrend in AI chatbot integration and user interaction, with ChatGPT emerging as a pivotal figure. This uptick indicates a broader acceptance and integration of AI in digital interactions. The study underscores the pivotal role of ChatGPT in shaping user experience and offers foresight into future AI chatbot applications in the digital media realm.References
Belev, Ivan (2018). Software Business Process Management Approaches for Digital Transformation. Yearbook of UNWE, 109-119. DOI: https://doi.org/10.37075/yb.2018.1.06
Belfield, H. (2022). The Ethical Aspects of AI Development: A Pragmatic Approach. Journal of AI Ethics, 3(1), 45-57.
Bengio, Y., Lamblin, P., Popovici, D., & Larochelle, H. (2022). Multimodal AI: A Future Direction for AI Development. Journal of Artificial Intelligence Research, 71(1), 97-113.
Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., & Amodei, D. (2020). Language models are few-shot learners. Advances in neural information processing systems, pp. 1877-1901.
ChatGPT (2023). ChatGPT-4: Updates and Limitations. URL: https://www.openai.com/blog/chatgpt-4/ (accessed 2022-10-01)
Colby, K. M. (1976). Artificial paranoia: A computer simulation of paranoid processes. Pergamon Press Inc. DOI: https://doi.org/10.1016/s0005-7894(76)80257-2
Gao, J., Bi, J., Liu, Z., & Shi, Y. (2020). Dialogue Management in Conversational Agents. Proceedings of the 28th ACM International Conference on Information and Knowledge Management, pp. 55-64.
Halevy, A., Norvig, P., & Pereira, F. (2009). The Unreasonable Effectiveness of Data. IEEE Intelligent Systems, 24(2), 8-12. DOI: https://doi.org/10.1109/mis.2009.36
Kabakchieva, D. & Stefanova, K. (2015). Big data approach and dimensions for educational industry. Economic Alternatives, 47-59.
Kolenda, M. (2002). Inside "SmarterChild". The Guardian.
MediaBoard (2023). MediaBoard: monitoring and analysis of media content. URL: https://www.mediaboard.bg/ (accessed 2022-10-01)
Murdjeva, Aleksandrina (2008). Distributed Business Logic in Information Systems. Building a Container for Analytical Business Logic. Research Papers of UNWE, 235-276. DOI: https://doi.org/10.37075/rp.2008.2.07
Radford, A., Narasimhan, K., Salimans, T., & Sutskever, I. (2018). Improving Language Understanding by Generative Pre-Training. URL: https://www.openai.com/research/ (accessed 2022-10-01)
Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., & Sutskever, I. (2019). Language models are unsupervised multitask learners. OpenAI Blog, 1(8), 9.
Reinsel, D., Gantz, J., & Rydning, J. (2018). The digitization of the world from edge to core (No. 13). IDC.
Rouse, M. (2019). What is a chatbot? Definition from WhatIs.com. TechTarget
Startup.bg (2023). The Bulgarian Tech Scene: Opportunities and Challenges. URL: https://startup.bg/2023/05/bulgarian-tech-scene-opportunities-challenges/ (accessed 2023-04-21)
Sutskever, Ilya, Vinyals, Oriol, & Le, Quoc V. (2014). Sequence to Sequence Learning with Neural Networks. Advances in neural information processing systems, pp. 3104-3112. DOI: https://doi.org/10.48550/arxiv.1409.3215
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017). Attention is all you need. Advances in neural information processing systems, pp. 5998-6008.
Vinyals, O. & Le, Q. (2015). A neural conversational model. DOI: https://doi.org/10.48550/arXiv.1506.05869
Wallace, Richard S. (2007). The Anatomy of A.L.I.C.E. Parsing the Turing Test (Ed. Epstein, R. and Roberts, G. and Beber, G.), pp. 181-210. DOI: https://doi.org/10.1007/978-1-4020-6710-5_13
Weizenbaum, Joseph (1966). ELIZA—a computer program for the study of natural language communication between man and machine. Communications of the ACM, 9(1), 36-45. DOI: https://doi.org/10.1145/365153.365168
Weston, J., Bordes, A., Yakhnenko, O., & Usunier, N. (2015). Towards AI-complete question answering: a set of prerequisite toy tasks. URL: https://arxiv.org/abs/1502.05698 (accessed 2022-10-01)
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