A Computational Linguistic and Stylistic Exploration of Natural Language Processing in Replacing a Human's Career in the Future

This paper aims to examine the integration of computational linguistics and stylistics, focusing on two primary objectives. The first objective is to determine if current technology can develop a program capable of detecting and analyzing the overall emotion in texts, potentially replacing the work of emotive stylisticians. The second objective is to assess the impact of AI on the telecommunications industry through a questionnaire survey. Two main methods were employed for data analysis. First, a software program was developed to perform sentiment analysis on selected novels. After processing each novel, the program produced a chart containing the words that have emotional value and their frequencies. Afterward, the software was coded to take the average of all the words that relate to emotions (positive, neutral, and negative) and detect the dominant sentiment among the three selected novels. The second method involved a questionnaire distributed to participants of an international telecommunications company, exploring AI's influence on their daily work. The results indicate that current technology cannot fully automate the role of emotive stylisticians due to reliability issues. Additionally, the survey suggests significant upcoming changes in the telecommunications industry due to AI's growing influence.