Understanding big consumer opinion data for market-driven product design

International Journal of Production Research

Volumn 54, Issue 10, 2016, Pages 3019-3041

  Jin, Jian ^a,b   Liu, Ying ^c   Ji, Ping ^d   Liu, Hongguang ^d  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b BEIJING NORMAL UNIVERSITY   (China)

^c CARDIFF UNIVERSITY   (United Kingdom)

^d HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

big data; conceptual design; customer requirement; product comparison; product design; sentiment analysis; text mining; trends analysis

Indexed keywords

BAYESIAN NETWORKS; COMMERCE; COMPETITION; CONCEPTUAL DESIGN; DATA MINING; FILTRATION; NATURAL LANGUAGE PROCESSING SYSTEMS; PRODUCT DESIGN; SALES; SENTIMENT ANALYSIS;

COMPUTER SCIENCE AND ENGINEERINGS; CUSTOMER REQUIREMENTS; CUSTOMER UNDERSTANDING; IDENTIFICATION OF PRODUCTS; INTERDISCIPLINARY COLLABORATIONS; PRODUCT COMPARISONS; TEXT MINING; TRENDS ANALYSIS;

BIG DATA;

EID: 84961202780     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207543.2016.1154208     Document Type: Article

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