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Technology opportunity discovery by structuring user needs based on natural language processing and machine learning.

Taeyeoun Roh1, Yujin Jeong1, Hyejin Jang1

  • 1Department of Industrial & Systems Engineering, School of Engineering, Dongguk University, Seoul, South Korea.

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|October 30, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces an opinion trigger method to identify user needs from reviews, enabling the discovery of new technology opportunities and guiding R&D strategies for product development.

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Area of Science:

  • Technology Management
  • Product Development
  • User-Centric Design

Background:

  • User opinions are crucial for technological development, but traditional methods lack depth in identifying specific needs.
  • Existing opinion mining often categorizes feedback as positive or negative, failing to uncover underlying reasons or actionable insights.

Purpose of the Study:

  • To propose a novel approach for discovering technology opportunities by structuring user needs based on opinion triggers.
  • To move beyond simple sentiment analysis towards a functional understanding of user requirements.
  • To provide a framework for identifying and prioritizing research and development (R&D) strategies.

Main Methods:

  • Utilized Naïve Base classifier and natural language processing to identify opinion triggers in review data.
  • Employed clustering of opinion triggers and patent keywords to map user needs to relevant technologies.
  • Applied graph-based semi-supervised learning for sentiment analysis of identified needs.
  • Classified user needs to pinpoint opportunities in areas with unmet technological demands.

Main Results:

  • Successfully extracted customer needs from automobile reviews, demonstrating the 'opinion trigger' methodology.
  • Identified specific R&D projects, such as enhancing cargo transportation, with corresponding strategies like 'resolving contradiction'.
  • Validated the approach's capability to analyze user needs at a functional level.

Conclusions:

  • The opinion trigger-based methodology effectively uncovers technology opportunities by analyzing user needs functionally.
  • This approach facilitates the development of targeted R&D strategies aligned with specific user requirements.
  • The findings support a more user-centric approach to innovation and product development.