| Autor: |
Dimlo, U. M. Fernandes, Rupesh, V., Raju, Yeligeti |
| Zdroj: |
International Journal of Systems Assurance Engineering & Management; Sep2024, Vol. 15 Issue 9, p4512-4526, 15p |
| Abstrakt: |
In the contemporary era, with the emergence of distributed computing and storage facilities, there has been an increase in the creation of textual data. The invention of the Internet of Things (IoT) and its use cases also led to the creation of big data in textual corpora. At the same time, there are emerging Artificial Intelligence (AI) techniques for processing data in unstructured format. In this context, an important research question is how Natural Language Processing (NLP) and text mining cope with emerging AI techniques. This paper investigates the hypothesis that "NLP and text mining play an increased role in emerging AI techniques." The investigation uses a dual approach: a literature review and an empirical study. Different aspects of the study, including data science approaches covering AI techniques, are investigated. NLP and text mining are indispensable for meaningful AI outcomes in solving different real-world problems. This paper sheds light on the investigations made and paves the way for exciting future research into utilizing AI along with NLP and text mining. It has covered the research reflecting the dynamics of natural language processing and text mining under emerging artificial intelligence techniques. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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