The use of artificial intelligence in analyzing and predicting language change in social media data.

Thesis Abstract

Abstract
The emergence and widespread adoption of social media platforms have revolutionized the way people communicate and interact online. The vast amount of data generated on these platforms presents a unique opportunity for linguists to study language change in real-time. This thesis explores the use of artificial intelligence (AI) techniques to analyze and predict language change in social media data. Chapter One provides an introduction to the study, outlining the background, problem statement, objectives, limitations, scope, significance, and structure of the thesis. It also includes definitions of key terms related to the research topic. Chapter Two presents a comprehensive literature review that covers ten key areas related to language change, social media analysis, and artificial intelligence. This review synthesizes existing research to provide a solid theoretical foundation for the study. Chapter Three details the research methodology employed in this study, including data collection methods, AI techniques used for analysis, and evaluation metrics. It also discusses the ethical considerations and potential challenges faced during the research process. Chapter Four presents a detailed discussion of the findings obtained from the analysis of social media data using AI techniques. The chapter explores patterns of language change identified, the effectiveness of AI models in predicting language evolution, and the implications of these findings for linguistic research. Chapter Five concludes the thesis by summarizing the key findings, highlighting the contributions of the study to the field of linguistics, and discussing potential avenues for future research. The conclusion emphasizes the importance of leveraging AI technologies for studying language change in social media data and underscores the significance of this research in advancing our understanding of language evolution in the digital age. Overall, this thesis contributes to the growing body of literature on the intersection of linguistics, artificial intelligence, and social media analysis. By harnessing the power of AI to analyze and predict language change, this study offers valuable insights into the dynamic nature of language in online communication platforms.