Abstract
This paper discusses the role of text mining and sentiment analysis in collecting and analyzing customers’ verbatim/voice of the customer for product design and development. In the illustration case of designing car underbody, the data were collected from a car online forum discussion website and processed using text mining techniques with “underbody” as a keyword. The result of the analysis finds there are worries regarding underbody durability against rust and damages. This finding is used as a reference point for the car underbody design process.
Cite
CITATION STYLE
Sutrilastyo, S., & Diar Astanti, R. (2021). Lexicon-based Sentiment Analysis for Product Design and Development. International Journal of Industrial Engineering and Engineering Management, 3(1), 27–31. https://doi.org/10.24002/ijieem.v3i1.4351
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