The dynamics of natural language processing and text mining under emerging artificial intelligence techniques

IF 1.6 Q2 ENGINEERING, MULTIDISCIPLINARY International Journal of System Assurance Engineering and Management Pub Date : 2024-08-16 DOI:10.1007/s13198-024-02468-8
U. M. Fernandes Dimlo, V. Rupesh, Yeligeti Raju
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Abstract

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.

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新兴人工智能技术下的自然语言处理和文本挖掘动态
在当代,随着分布式计算和存储设备的出现,文本数据的创建量也在不断增加。物联网(IoT)的发明及其使用案例也导致了文本语料库中大数据的产生。与此同时,处理非结构化格式数据的人工智能(AI)技术也在不断涌现。在这种情况下,一个重要的研究问题是自然语言处理(NLP)和文本挖掘如何应对新兴的人工智能技术。本文对 "NLP 和文本挖掘在新兴人工智能技术中发挥着越来越重要的作用 "这一假设进行了研究。调查采用了双重方法:文献综述和实证研究。研究的不同方面包括涵盖人工智能技术的数据科学方法。要想在解决不同的实际问题中取得有意义的人工智能成果,NLP 和文本挖掘是不可或缺的。本文揭示了所做的调查,并为未来将人工智能与 NLP 和文本挖掘相结合的精彩研究铺平了道路。它涵盖了反映新兴人工智能技术下自然语言处理和文本挖掘动态的研究。
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来源期刊
CiteScore
4.30
自引率
10.00%
发文量
252
期刊介绍: This Journal is established with a view to cater to increased awareness for high quality research in the seamless integration of heterogeneous technologies to formulate bankable solutions to the emergent complex engineering problems. Assurance engineering could be thought of as relating to the provision of higher confidence in the reliable and secure implementation of a system’s critical characteristic features through the espousal of a holistic approach by using a wide variety of cross disciplinary tools and techniques. Successful realization of sustainable and dependable products, systems and services involves an extensive adoption of Reliability, Quality, Safety and Risk related procedures for achieving high assurancelevels of performance; also pivotal are the management issues related to risk and uncertainty that govern the practical constraints encountered in their deployment. It is our intention to provide a platform for the modeling and analysis of large engineering systems, among the other aforementioned allied goals of systems assurance engineering, leading to the enforcement of performance enhancement measures. Achieving a fine balance between theory and practice is the primary focus. The Journal only publishes high quality papers that have passed the rigorous peer review procedure of an archival scientific Journal. The aim is an increasing number of submissions, wide circulation and a high impact factor.
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