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Insights on next-generation manufacturing of smart devices using text analytics
Suchithra Rajendran1,2, Emily Pagel1
1Department of Industrial and Manufacturing Systems Engineering, University of Missouri Columbia, MO 65211, USA.
Heliyon
|August 4, 2020
Summary
This study introduces a novel text analytics method to analyze smart device customer reviews. It identifies product strengths, weaknesses, opportunities, and threats (SWOT) to guide next-generation manufacturing.
Area of Science:
- Manufacturing and Technology
- Consumer Behavior Analysis
- Data Science
Background:
- The smart device market is rapidly expanding, increasing competition.
- Customer perception is crucial for sustainable success in this market.
- Online customer reviews provide valuable unstructured data for product analysis.
Purpose of the Study:
- To propose next-generation manufacturing insights for smart device companies.
- To determine the strengths, weaknesses, opportunities, and threats (SWOT) of smart devices using text analytics.
- To leverage online customer reviews for competitive advantage.
Main Methods:
- A three-stage methodology involving bigram/trigram examination, topic identification, and SWOT analysis.
- Extraction and categorization of online customer reviews (positive, neutral, negative).
- Application of text analytics to identify frequently occurring word combinations.
Main Results:
- Identification of key topics from customer reviews to inform SWOT analysis.
- Detailed SWOT analysis of smart devices based on aggregated customer feedback.
- Generation of actionable recommendations for smart device manufacturing.
Conclusions:
- Text analytics offers a powerful approach to understanding customer perceptions of smart devices.
- SWOT analysis derived from online reviews can guide product development and manufacturing strategies.
- This method provides valuable insights for companies seeking to improve smart device offerings.
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