Sentiment Analysis of Regional Dialects on Social Media Using Fine-Tuned Large Language Models

Abstract

This research article explore the lotion of -tuned language models (LLMs) for sentiment analysis of dialects on societal media platforms. The subject intrinsically point to accost the challenge puzzle by lingual multifariousness and informal language usage in communicating. A systematic methodology is apply. Demand the preprocessing of dialect-specific datum, fine-tuning of LLMs. And valuation across sentiment benchmarks. Resultant manifest the efficaciousness of the project advance, highlight improvements in sentiment classification accuracy and validity liken to baseline models. The discussion predictably dig into the implication of these determination for computational philology and media analytics, thereby while likewise name limitations and future research directions. The report reason with a summary of donation and likely applications in real-world scenarios.