Journal of Guangdong University of Technology ›› 2017, Vol. 34 ›› Issue (03): 54-58.doi: 10.12052/gdutxb.170016

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Internet Text Mining for User Intent Perception

Yang Xian1, He Han-wu2   

  1. 1. School of Art and Design, Guangdong University of Technology, Guangzhou 510009, China;
    2. School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2017-01-15 Online:2017-05-09 Published:2017-05-09

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Abstract:

The accuracy of user intent perception is the key to innovative design. The research methods of traditional user intent are time-consuming and prone to overlooking some of important factors. User intent is proposed to be a factor set of user expectations for an object, and all the factors are hidden in the object-relational massive data distributed on the internet which can be achieved by text mining technology. The equal value relation between user intent and factor set is proved by a pro and con questionnaire survey. Meanwhile, the factors acquired by text mining are testified to have advantage over traditional methods. The feasibility of the above-mentioned proposal is verified by taking wearable intelligent devices as a study, and the result is approving. The method proposed in this paper is applicable to all modeling and solving of complex objects which is similar to user intent.

Key words: Internet text mining, factor set, user intent, cognitive science

CLC Number: 

  • TP391.1

[1] NORMAN D A. The design of everyday things:revised and expanded edition[M]. New York:Basic Books, 2013.
[2] 周美玉, 王倩. 浅析"意象"及其对产品感性设计的作用[J]. 艺术与设计(理论), 2011(3):178-180. ZHOU M Y, WANG Q. Analysis of imagery and its role in perceptual design[J]. Art and Design (theory), 2011(3):178-180.
[3] LOWRY P B, ROBERTS T L, ROMANO JR N C. What signal is your inspection team sending to each other? Using a shared collaborative interface to improve shared cognition and implicit coordination in error-detection teams[J]. International Journal of Human-Computer Studies, 2013, 71(4), 455-474.
[4] TANG H H, LEE Y Y, GERO J S. Comparing collaborative co-located and distributed design processes in digital and traditional sketching environments:A protocol study using the function-behaviour-structure coding scheme[J]. Design Studies, 2011, 32(1), 1-29.
[5] 丁欢, 许柏鸣. 家具造型设计中的感知意象研究现状与进展[J]. 家具与室内装饰, 2013(8):15-17. DING H, XU B M. Statues and progress of research on perception image of furniture form design[J]. Furniture & Interior Design, 2013(8):15-17.
[6] DE VRIES E, MASCLET C. A framework for the study of external representations in collaborative design settings[J]. International Journal of Human-Computer Studies, 2013, 71(1):46-58.
[7] POLANYI M. Personal knowledge:Towards a Post-Critical Philosophy[J]. Philosophy of Science, 1959, 26(3):617-618.
[8] HEYLIGHEN A, NIJS G. Designing in the absence of sight:Design cognition re-articulated[J]. Design Studies, 2014, 35(2):113-132.
[9] ANTUNES P, HERSKOVIC V, OCHOA S F, et al. Reviewing the quality of awareness support in collaborative applications[J]. Journal of Systems and Software, 2014, 89:146-169.
[10] 拉维·莱美, 阿卡里氏·阿帕德, 尼噶. 人类行为解释与转换系统的多通道进化框架研究[J]. 广东工业大学学报, 2016, 33(02):5-14. RAVI L, AKHILESH U, NIGAM S R. Evolving multimodal frameworks for human behavior interpretation and transformation system[J]. Journal of Guangdong University of Technology, 2016, 33(02):5-14.
[11] LOWRY P B, ROBERTS T L, ROMANO JR N C. What signal is your inspection team sending to each other? Using a shared collaborative interface to improve shared cognition and implicit coordination in error-detection teams[J]. International Journal of Human-Computer Studies, 2013, 71(4):455-474.
[12] OSGOOD C, SUCI G, TANNENBAUM P. The measurement of meaning[M]. 1st ed. Illinois:University of Illinois Press, 1957.
[13] HOWARTH J, SMITH-JACKSON T, HARTSON R. Supporting novice usability practitioners with usability engineering tools[J]. International Journal of Human-Computer Studies, 2009, 67(6):533-549.
[14] ALI MAZALEK. Framing tangible interaction frameworks[J]. Artificial Intelligence for Engineering Design Analysis & Manufacturing, 2009, 23(3):225-235.
[15] AGGARWAL C C. Social network data analytics[M]. Berlin:Springer Publishing Company, 2011.
[16] BAEZAYATES R, CALDERÓNBENAVIDES L, GONZÁLEZCARO C. The intention behind Web queries[J]. Lecture Notes in Computer Science, 2006, 4209:98-109.
[17] ZHANG H P, ZHANG R Q, ZHAO Y P, et al. Big Data Modeling and Analysis of Microblog Ecosystem[J]. International Journal of Automation and Computing, 2014, 11(2):119-127.
[18] 贺科达, 朱铮涛, 程昱. 基于改进TF-IDF算法的文本分类方法研究[J]. 广东工业大学学报, 2016, 33(5):49-53. HE K D, ZHU Z T, CHENG Y. A research on text classification method based on improved TF-IDF algorithm[J]. Journal of Guangdong University of Technology, 2016, 33(05):49-53.
[1] CHEN Zhi-Bin, PENG Ping, JIA Xi-Ping. Research on the Construction of Extension Transformation Based on Cognitive Science [J]. Journal of Guangdong University of Technology, 2011, 28(4): 1-6.
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