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https://doi.org/10.62836/iaet.v3i1.203
Tian, T., Chen, X., Liu, Z., Huang , Z., & Tang, Y. (2024). Enhancing Organizational Performance: Harnessing AI and NLP for User Feedback Analysis in Product Development. Innovations in Applied Engineering and Technology, 3(1), 1–15. https://doi.org/10.62836/iaet.v3i1.203
Volume 3, Issue 1

Enhancing Organizational Performance: Harnessing AI and NLP for User Feedback Analysis in Product Development

This paper explores the application of AI and NLP techniques for user feedback analysis in the context of heavy machine crane products. By leveraging AI and NLP, organizations can gain insights into customer perceptions, improve product development, enhance satisfaction and loyalty, inform decision-making, and gain a competitive advantage. The paper highlights the impact of user feedback analysis on organizational performance and emphasizes the reasons for using AI and NLP, including scalability, objectivity, improved accuracy, increased insights, and time savings. The methodology involves data collection, cleaning, text and rating analysis, interpretation, and feedback implementation. Results include sentiment analysis, word cloud visualizations, and radar charts comparing product attributes. These findings provide valuable information for understanding customer sentiment, identifying improvement areas, and making data-driven decisions to enhance the customer experience. In conclusion, promising AI and NLP techniques in user feedback analysis offer organizations a powerful tool to understand customers, improve product development, increase satisfaction, and drive business success.

Artificial Intelligence (AI); Natural Language Processing (NLP); organizational performance; user feedback

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Supporting Agencies

  1. Funding: Not applicable.