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.

Thesis Overview

Research Overview: The project titled "The use of artificial intelligence in analyzing and predicting language change in social media data" aims to explore the application of artificial intelligence (AI) in the linguistic domain, specifically focusing on the dynamic nature of language change within the context of social media platforms. With the exponential growth of digital communication channels, the evolution of language has taken on new dimensions, impacting how people communicate, express ideas, and interact with one another. This research seeks to address the fundamental question of how AI technologies can be leveraged to analyze linguistic patterns and predict language changes in social media data. By harnessing the power of AI algorithms, natural language processing (NLP) techniques, and machine learning models, the study aims to uncover underlying trends, shifts, and transformations in language usage across various social media platforms. The significance of this research lies in its potential to offer valuable insights into the mechanisms driving language change in the digital age. By examining a vast corpus of social media data, the project seeks to identify linguistic innovations, emerging trends, and evolving communication practices that reflect the dynamic nature of language evolution within online communities. Through a comprehensive analysis of language data using AI tools, the study aims to develop predictive models that can anticipate future language changes based on current patterns and trends. By applying advanced computational techniques to linguistic analysis, the project aims to enhance our understanding of how language evolves in response to digital communication technologies and social interactions on online platforms. Ultimately, this research contributes to the field of linguistics by highlighting the transformative potential of AI in studying language change and evolution in the context of social media data. By bridging the gap between traditional linguistic analysis and cutting-edge technological advancements, the project offers a novel perspective on the intricate relationship between language, technology, and social dynamics in the digital era.