articleCustomer Needs and SolutionsMar 5, 2024HYBRID OA

Sentiment Analysis in the Age of Generative AI

Technical University of Munich

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Abstract

Abstract In the rapidly advancing age of Generative AI, Large Language Models (LLMs) such as ChatGPT stand at the forefront of disrupting marketing practice and research. This paper presents a comprehensive exploration of LLMs’ proficiency in sentiment analysis, a core task in marketing research for understanding consumer emotions, opinions, and perceptions. We benchmark the performance of three state-of-the-art LLMs, i.e., GPT-3.5, GPT-4, and Llama 2, against established, high-performing transfer learning models. Despite their zero-shot nature, our research reveals that LLMs can not only compete with but in some cases also surpass traditional transfer learning methods in terms of sentiment classification…

Citation impact

154
total citations
FWCI
47.83
Percentile
100%
References
57
Citations per year

Authors

2

Topics & keywords

Keywords
  • Sentence
  • Sentiment analysis
  • Task (project management)
  • Benchmark (surveying)
  • Generative grammar
  • Perception
  • Artificial intelligence
  • Generative model
UN Sustainable Development Goals
  • Quality Education
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