Summary of Automating Customer Needs Analysis: a Comparative Study Of Large Language Models in the Travel Industry, by Simone Barandoni et al.
Automating Customer Needs Analysis: A Comparative Study of Large Language Models in the Travel Industry
by Simone Barandoni, Filippo Chiarello, Lorenzo Cascone, Emiliano Marrale, Salvatore Puccio
First submitted to arxiv on: 27 Apr 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper explores the application of Large Language Models (LLMs) for extracting customer needs from TripAdvisor posts in the travel industry. The authors compare various LLMs, including GPT-4, Gemini, and Mistral 7B, to determine their strengths and weaknesses in this domain. The evaluation process involves metrics such as BERTScore, ROUGE, and BLEU to assess model performance in identifying and summarizing customer needs. The results show that open-source LLMs, particularly Mistral 7B, can achieve comparable performance to larger closed models while offering affordability and customization benefits. Factors such as model size, resource requirements, and performance metrics should be considered when selecting the most suitable LLM for customer needs analysis tasks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study looks at how computers can understand what people are saying about travel online. The researchers compared different types of language models to see which one works best for this task. They used special tools to test the models and found that some open-source models are just as good as more powerful, expensive models. This is important because it helps businesses understand what customers want and need while traveling, making their services better. |
Keywords
» Artificial intelligence » Bleu » Gemini » Gpt » Rouge
