Product Perspective: A Study of User Demand Priorities in Online Community Reviews

DOI

10.2991/ssmi-19.2019.5How to use a DOI?

Keywords

Usefulness classification; Feature extraction; Sentiment analysis; Text mining; KANO model.

Abstract

In this study, we through the data analysis to obtain a list of user demand and priorities to provide different opinions and recommendations for product design and marketing. The study is divided into two parts, one of which is to build a usefulness model in product perspective, and then use product community reviews as an evaluation corpus and experimental data set. The other is to propose a new feature-sentiment extraction method based on the research status of implicit features, and then select the basic algorithm of random forest as the classification model to combine text mining technology with KANO model for user demand research. Based on this, a new user demand priority calculation method is proposed. According to the study, the user's priority list provides real-time and accurate recommendations for product design and improvement, which is more practical in today's information overload era.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hong Zhang
AU  - Jiayi Nie
AU  - Hui Wang
PY  - 2019/12
DA  - 2019/12
TI  - Product Perspective: A Study of User Demand Priorities in Online Community Reviews
BT  - Proceedings of the 2nd International Symposium on Social Science and Management Innovation (SSMI 2019)
PB  - Atlantis Press
SP  - 408
EP  - 413
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssmi-19.2019.5
DO  - 10.2991/ssmi-19.2019.5
ID  - Zhang2019/12
ER  -