Image data analysis and classification in marketing

被引:10
作者
Baier, Daniel [1 ]
Daniel, Ines [1 ]
Frost, Sarah [1 ]
Naundorf, Robert [1 ]
机构
[1] Brandenburg Tech Univ Cottbus, Chair Mkt & Innovat Management, D-03046 Cottbus, Germany
关键词
Image data analysis; Image classification; Market segmentation; EARTH-MOVERS-DISTANCE; PATTERN-RECOGNITION; TEXTURAL FEATURES; CLUSTER-ANALYSIS; RETRIEVAL;
D O I
10.1007/s11634-012-0116-0
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Nowadays, the diffusion of smartphones, tablet computers, and other multipurpose equipment with high-speed Internet access makes new data types available for data analysis and classification in marketing. So, e.g., it is now possible to collect images/snaps, music, or videos instead of ratings. With appropriate algorithms and software at hand, a marketing researcher could simply group or classify respondents according to the content of uploaded images/snaps, music, or videos. However, appropriate algorithms and software are sparsely known in marketing research up to now. The paper tries to close this gap. Algorithms and software from computer science are presented, adapted and applied to data analysis and classification in marketing. The new SPSS-like software package IMADAC is introduced.
引用
收藏
页码:253 / 276
页数:24
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