<ul><li>The paper investigates LLMs for extracting customer needs from reviews. </li><li>Evaluations conducted with a professional marketing consulting firm. </li><li>SFT LLMs imitate paraphrasing customer feedback into customer needs. </li><li>LLMs trained using self-supervised and reinforcement learning methods. </li><li>Marketing science community exploring LLM applications for research. </li></ul>

The paper investigates LLMs for extracting customer needs from reviews. Evaluations conducted with a professional marketing consulting firm. SFT LLMs imitate paraphrasing customer feedback into customer needs. LLMs trained using self-supervised and reinforcement learning methods. Marketing science community exploring LLM applications for research.

<ul><li>The paper investigates LLMs for extracting customer needs from reviews.&nbsp;</li><li>Evaluations conducted with a professional marketing consulting firm.&nbsp;</li><li>SFT LLMs imitate paraphrasing customer feedback into customer needs.&nbsp;</li><li>LLMs trained using self-supervised and reinforcement learning methods.&nbsp;</li><li>Marketing science community exploring LLM applications for research.&nbsp;</li></ul>

Can Large Language Models Extract Customer Needs as well as Professional Analysts?

Men know other men best. Women know other women best. 
And yes, perhaps AIs know other AIs best. 
AI explains what you should know about this week's AI research progress.

Technology

Men know other men best. Women know other women best. And yes, perhaps AIs know other AIs best. AI explains what you should know about this week's AI research progress.

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Can Large Language Models Extract Customer Needs as well as Professional Analysts?

Can Large Language Models Extract Customer Needs as well as Professional Analysts?