Automating Customer Needs Analysis: A Comparative Study of Large Language Models in the Travel Industry

arXiv:2404.17975v1 Announce Type: new
Abstract: In the rapidly evolving landscape of Natural Language Processing (NLP), Large Language Models (LLMs) have emerged as powerful tools for many tasks, such as extracting valuable insights from vast amounts of textual data. In this study, we conduct a comparative analysis of LLMs for the extraction of travel customer needs from TripAdvisor posts. Leveraging a diverse range of models, including both open-source and proprietary ones such as GPT-4 and Gemini, we aim to elucidate their …

abstract analysis arxiv comparative study cs.ai cs.cl cs.hc customer data industry insights landscape language language models language processing large language large language models llms natural natural language natural language processing nlp processing study tasks textual tools travel type vast