Zero- and Few-Shot Prompting with LLMs: A Comparative Study with Fine-tuned Models for Bangla Sentiment Analysis

arXiv:2308.10783v2 Announce Type: replace-cross
Abstract: The rapid expansion of the digital world has propelled sentiment analysis into a critical tool across diverse sectors such as marketing, politics, customer service, and healthcare. While there have been significant advancements in sentiment analysis for widely spoken languages, low-resource languages, such as Bangla, remain largely under-researched due to resource constraints. Furthermore, the recent unprecedented performance of Large Language Models (LLMs) in various applications highlights the need to evaluate them in the context of low-resource …

abstract analysis arxiv bangla cs.cl cs.lg customer customer service digital digital world diverse expansion few-shot healthcare languages llms marketing politics prompting sentiment sentiment analysis service spoken study tool type world