Improving the Accuracy and Diversity of Feature Extraction From Online Reviews Using Keyword Embedding and Two Clustering Methods

2020 ◽  
Author(s):  
Seyoung Park ◽  
Harrison M. Kim
Keyword(s):  
Feature Extraction ◽  
Product Development ◽  
Product Design ◽  
Spectral Clustering ◽  
Online Reviews ◽  
Clustering Methods ◽  
Online Data ◽  
Product Features ◽  
Noise Filter ◽  
Alternative Research

Abstract In product design, it is essential to understand customers’ preferences for product features. Traditional methods including the survey and interview are time-consuming and costly. As an alternative, research on utilizing online data for user analysis has been actively conducted. Although various methods have been proposed in this domain, most of them focus on the main features or usages of the product. However, from the manufacturer’s perspective, sub-features are as crucial as main features or usages, because the preference for sub-features is necessary for component configuration in actual product development. As the first step to solve this problem, this paper proposes a methodology to extract and cluster sub-features by incorporating phrase embedding into the previous word embedding. Also, the presented methodology increases the accuracy and diversity of the clustering result by using X-means clustering as a noise filter and adopting spectral clustering.

Phrase Embedding and Clustering for Sub-Feature Extraction from Online Data

2021 ◽  
pp. 1-11
Author(s):  
Seyoung Park ◽  
Harrison Kim
Keyword(s):  
Feature Extraction ◽  
High Accuracy ◽  
Clustering Methods ◽  
Online Data ◽  
Practical Applications ◽  
Customer Preference ◽  
Customer Preferences ◽  
Embodiment Design ◽  
Product Features ◽  
Efficient Resource

Abstract Recently, online user-generated data has been used as an efficient resource for customer analysis. In the product design area, various methods for analyzing customer preference for product features have been suggested. However, most of them focused on feature categories rather than product components which are crucial in practical applications. To address that limitation, this paper proposes a new methodology for extracting part-level features from online data. First, the method detects phrases in the data and filtered them using product manual documents. The filtered phrases are embedded into vectors, and then they are divided into several groups by two clustering methods. The resulting clusters are labeled by analyzing items in each cluster. Finally, cue phrases for sub-features are obtained by selecting clusters with labels representing product features. The proposed methodology was tested on smartphone review data. The result provides feature clusters containing sub-feature phrases with high accuracy. The obtained cue phrases will be used in analyzing customer preferences for part-level features and this can help product designers determine the optimal component configuration in embodiment design.

scholarly journals Algorithm for extracting product feature from e-commerce comment

2021 ◽  
Vol 22 (2) ◽  
pp. 1199
Author(s):  
Chanida Kaewphet ◽  
Nawaporn Wisitpongpun
Keyword(s):  
Feature Extraction ◽  
Mobile Phone ◽  
Word Frequency ◽  
Hybrid Approach ◽  
Online Reviews ◽  
The Other ◽  
Automatic Extraction ◽  
Purchasing Decisions ◽  
Product Features ◽  
Different Types

<span>Reviews of e-commerce play an important role in online purchasing decisions. Consumers are likely to read reviews and comments on products from other consumers. In addition to those opinions that reflect consumers' trust in products, it also provides each product's distinctive properties. Today, there are many online reviews, resulting in enormous comments and suggestions. However, as fully reading reviews is quite difficult, this article presents 3 algorithms for automatic extraction of product features hidden in e-commerce reviews: a traditional frequency-based product feature extraction (F-PFE), syntax analyzer system (SAS), and the hybrid approach called the frequency and syntax-based product feature extraction (FaS-PFE). The proposed algorithms were tested against 4 different types of products: shampoo, skincare, mobile phone, and tablet, using reviews from amazon.com. Based on the product review used in this study, it was found that the SAS can help improve the performance in terms of precision by 15% when compared with the traditional F-PEE approach. When considering both the word frequency and syntax, FaS-PFE clearly outperforms the other two approaches with 94.00% precision and 95.13% recall.</span>

scholarly journals ANALYSIS OF CUSTOMER SENTIMENT ON PRODUCT FEATURES AFTER THE OUTBREAK OF CORONAVIRUS DISEASE (COVID-19) BASED ON ONLINE REVIEWS

2021 ◽  
Vol 1 ◽  
pp. 457-466
Author(s):  
Jinju Kim ◽  
Seyoung Park ◽  
Harrison Kim
Keyword(s):  
Feature Extraction ◽  
Sentiment Analysis ◽  
Global Economy ◽  
Dynamic Change ◽  
Online Reviews ◽  
Dynamic Changes ◽  
Supply Chain Disruptions ◽  
Customer Preferences ◽  
Product Features ◽  
Purchasing Patterns

AbstractThe outbreak of the coronavirus disease not only caused many deaths worldwide but also severely affected the development of the global economy, such as supply chain disruptions, plummeted demand, unemployment, etc. These social changes have led to changes in customers' purchasing patterns. Therefore, it is more important than ever for manufacturers to quickly identify and respond to changing customer purchasing patterns and requirements. However, few studies have been done on dynamic changes in customer preferences for product features following COVID-19 spread. This study aims to investigate the dynamic change of customer sentiment on product features following COVID-19 through sentiment analysis based on online reviews. The proposed methodology consists of two main processes: feature extraction and sentiment analysis. After finding a specific feature of the product through feature extraction, the words used to mention the feature in the review were analyzed for sentiment analysis of customers. To demonstrate the methodology, a case study is conducted using new and refurbished smartphone reviews to investigate the dynamic changes in customer sentiment during COVID-19.

Truck Redesign Case: Simulating the Target Costing Process in a Product Design Environment

2013 ◽  
Vol 29 (1) ◽  
pp. 61-85 ◽  
Author(s):  
Patricia Everaert ◽  
Dan W. Swenson
Keyword(s):  
Product Development ◽  
Product Design ◽  
Goal Setting ◽  
Cost Reduction ◽  
Data Availability ◽  
Design Stage ◽  
Target Costing ◽  
Design Environment ◽  
Goal Setting Theory ◽  
Setting Theory

ABSTRACT This active learning exercise simulates the target costing process and demonstrates how a management theory (goal setting theory) is relevant to a business improvement initiative (target costing). As part of the target costing simulation, student participants work in teams to address a business issue (product development) that moves across functional boundaries. The simulation begins with students learning how to assemble a model truck and calculate its product cost using activity-based costing. Students are then divided into teams and instructed to reduce the truck's cost through a redesign exercise, subject to certain customer requirements and quality constraints. Typically, the teams achieve cost reduction by eliminating unnecessary parts, by using less expensive parts, and by using less part variety. This exercise provides a unique opportunity for students to actively participate in a redesign exercise. It results in student teams creating a wide variety of truck designs with vastly different product costs. The case ends by having a discussion about target costing, goal setting theory, and the implications of the target costing simulation. This simulation contains a number of specific learning objectives. First, students learn how the greatest opportunity for cost reduction occurs during the product design stage of the product development cycle. Second, students see firsthand how design-change decisions affect a product's costs, and the role of the cost information in guiding those decisions. Third, students experience the cross-functional interaction that occurs between sales and marketing, design engineering, and accounting during product development. Finally, this exercise helps students understand the concept of target costing. The simulation is appropriate for undergraduate or graduate management accounting classes. Data Availability:  For more information about this case, contact the first author at [email protected].

scholarly journals Refine the Students’ Skills Through Design Education to Create Ethical Products

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402199836
Author(s):  
Tarek Ismail Mohamed
Keyword(s):  
Product Design ◽  
Interface Design ◽  
Visual Information ◽  
Design Education ◽  
Vital Role ◽  
Ethical Aspects ◽  
Product Features ◽  
Ethical Products ◽  
Appearance Design ◽  
Design Values

This article focuses on applying the ethics of the product features during the students’ design education. Good/Bad design term is a conventional approach to discuss the ethical/unethical design values of the products. It is noted that different aspects of the product design such as visual information design, interface design, and appearance design have a vital role in judging the levels of ethics in the product. So the students of product design everywhere need to practice the term ethical/unethical design during their study because designers influence society more than they could imagine. This influence can be done by creating an attractive organized appearance and perfect functions that support the ethical brand’s image to the customers. The interviews and discussions were held as a research method with the students of product design in some institutions in addition to some design experts and customers to find out their opinions about the design values that achieve the ethical dimensions in the product design. They can end up with products that carry ethical values in their design. The final article’s results are in the descending order of the different design values according to their importance in emphasizing the ethical aspects of the products, in addition to a checklist including some important questions that can help the designers to be more aware of ethics’ considerations in the product design because ethics is a process of learning, not a process of obedience, and to highlighting the term of ethical designer which in turn reflects on the ethics of customers and societies.

Proposed Method for Sustainability Development of Consumable Goods

2014 ◽  
Vol 1061-1062 ◽  
pp. 1233-1237 ◽  
Author(s):  
Pâmela Teixeira Fernandes ◽  
Osíris Canciglieri ◽  
Ângelo Márcio Oliveira Sant’Anna
Keyword(s):  
Literature Review ◽  
Product Development ◽  
Product Design ◽  
Development Process ◽  
Product Development Process ◽  
Promising Solution ◽  
Sustainable Projects

This paper presents the findings of research exploring how designers could to evaluate and insert sustainability requirements in product design during the initial stages of the product development process. It describes the process of development of the method for sustainability consumable goods based from a literature review and explores its application in the development of packaging for cosmetic. The results show that the use of the method may be a promising solution for sustainable projects, providing the insertion of the reasoning for the inclusion of product development oriented to sustainability as a complement to traditional project requirements that existing in the models of product development.

Application of Rapid Prototyping Technology in Product Design

2014 ◽  
Vol 989-994 ◽  
pp. 3208-3211
Author(s):  
Dan Tong Li ◽  
Zheng Zhang ◽  
Jia Wen Deng ◽  
Ming Yu Huang ◽  
Xiao Feng Wan ◽  
...  
Keyword(s):  
Product Development ◽  
Rapid Prototyping ◽  
Product Design ◽  
New Product Development ◽  
Medical Model ◽  
New Product ◽  
Mechanical Parts

The rapid prototyping technology was introduced, including its definition, principle and characteristics. The advantages of rapid prototyping technology in new product development were analyzed. Application of rapid prototyping technology in design of mechanical parts, industrial model, medical model, ceramic products, automobile model and products based on ergonomics was discussed. The feasibility of rapid prototyping technology in product design and the optimization direction was prospected.

Sign in / Sign up

Export Citation Format

Share Document