Publisher's Synopsis
Dear readers, This volume delves deeply into the evolving role of artificial intelligence in supporting bots, mainly focusing on its integration with linguistic theories and practices. It thoroughly analyses various methodologies to harness AI's capabilities, including natural language processing (NLP) techniques and machine learning algorithms. The analytical frameworks discussed provide insight into how these technologies enhance user interactions and improve problem-solving efficiencies in automated support systems when integrated with linguistic theories and practices. The information in the appendix is from the Oxford Brookes research done by the other, which covers all books in the series. Please look it up for the finer details; Solomon, B.S. (2020). A Novel Theory Of Support In Social Media Discourse (With AI, Machines, Robotics and Androids And Linguistics Analysis) (MPhil dissertation, Oxford Brookes University).
Additionally, the book critically appraises the limitations inherent in these AI-driven solutions. It examines issues such as the challenges of understanding nuanced human language, the potential for bias in algorithmic responses, and the ethical implications of relying on AI for customer service applications. With this rich exploration, readers gain a comprehensive understanding of both AI's power and pitfalls in support of bot deployment. In this enlightening volume, we explore the profound influence that artificial intelligence (AI) and linguistic theory exert on the evolution of support bots. We present a detailed analysis of sophisticated methodologies such as natural language processing (NLP) and analytical frameworks like Latent Dirichlet Allocation (LDA) that significantly boost their operational efficiency and effectiveness. This guide goes beyond basic concepts to provide intricate insights into how these AI algorithms can be harnessed to enhance natural language processing capabilities, ultimately creating more intuitive support systems responsive to user needs.
