Thesis Abstract

<p> </p><div> This research project aims to investigate the application of natural language processing (NLP) techniques in improving library search interfaces. The study seeks to explore how NLP can enhance the effectiveness and user experience of library search systems, ultimately improving information retrieval for library patrons. By employing a mixed-methods approach, the research aims to provide insights into the impact of NLP on user engagement and the accessibility of resources, with the goal of informing best practices for implementing NLP in library settings. <br></div><p></p>

Thesis Overview

<p> </p><div>The evolution of information retrieval systems in library settings has prompted the exploration of innovative technologies to enhance user experience and accessibility of resources. This research project focuses on the application of natural language processing (NLP) in improving library search interfaces, aiming to investigate how NLP techniques can address the challenges of traditional search systems and elevate the effectiveness of information retrieval for library patrons.</div><div>The introduction of this research project provides a contextual background, outlining the significance of exploring the use of NLP in library search interfaces. By defining key terms, establishing the scope and objectives of the study, and highlighting the significance of the research, the introduction aims to provide a clear framework for the subsequent exploration of NLP techniques and their impact on user engagement and resource accessibility in library settings.</div><div>Central to this research is the understanding of NLP and its potential applications in information retrieval. The study aims to delve into the fundamentals of NLP, its techniques, and its specific relevance to information retrieval in library settings. By doing so, the research seeks to lay the groundwork for comprehending the potential impact of NLP on library search interfaces and user experience.</div><div>Moreover, the research endeavors to address the challenges inherent in traditional library search interfaces, encompassing user experience, limitations of existing systems, and user expectations and needs. By identifying these challenges, the study aims to underscore the potential for NLP to mitigate these issues and enhance the overall effectiveness of library search interfaces.</div><div>The subsequent exploration of implementing NLP in library search interfaces aims to provide insights into the integration of NLP techniques, user-centric design, and functionality. Through case studies and best practices, the research seeks to elucidate the practical applications of NLP in addressing the identified challenges and improving the user experience in library settings.</div><div>Furthermore, the study aims to evaluate the impact of NLP on user engagement through comprehensive analysis, encompassing user engagement metrics, feedback, usability testing, and comparative assessments. By doing so, the research seeks to provide empirical evidence of the implications of NLP for library services, ultimately informing best practices and recommendations for the implementation of NLP in library search interfaces.</div> <br><p></p>