• ETRI Journal
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• v.38 no.3
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• pp.494-501
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• 2016

Sentiment analysis incorporates natural language processing and artificial intelligence and has evolved as an important research area. Sentiment analysis on product reviews has been used in widespread applications to improve customer retention and business processes. In this paper, we propose a method for performing an intensified sentiment analysis on customer product reviews. The method involves the extraction of two feature sets from each of the given customer product reviews, a set of acoustic features (representing emotions) and a set of lexical features (representing sentiments). These sets are then combined and used in a supervised classifier to predict the sentiments of customers. We use an audio speech dataset prepared from Amazon product reviews and downloaded from the YouTube portal for the purposes of our experimental evaluations.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.115-120
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• 2014

Many product line engineering methods use the feature model to structure commonality and variability among products in terms of features and to derive a product feature configuration, which is the set of features required for the development of a product. Features to be selected during product derivation are mainly determined based on the quality attributes required for a product. Most methods published so far derived an optimal product feature configuration through linear co-relationship between features and quality attributes. However, the co-relationship between features and quality attributes can be formulated as a non-linear function because of feature interactions. This paper proposes a method that derives an optimal product feature configuration considering feature interactions. Four product line cases are used to validate the proposed methods.

• The Journal of Information Systems
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• v.20 no.2
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• pp.21-36
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• 2011

The Web has become an excellent source for gathering consumer opinions. There are now numerous Web sites containing such opinions, e.g., customer reviews of products, forums, discussion groups, and blogs. This paper focuses on online customer reviews of products. It makes some contributions. Especially it proposes minimalism and chunking framework for analyzing and comparing consumer opinions of competing products. Users are able to clearly see the strengths and weaknesses of each product in the minds of consumers in terms of various product features. This comparison is useful to both potential customers and product manufacturers. For a product manufacturer, the comparison enables it to easily gather marketing intelligence and product benchmarking information. In this paper, we only focus on mining opinion/product features that the reviewers have commented on. Five types of online review presentations are presented to mine such features. Our experimental results show that these techniques are useful to identify customers' opinions and trends.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.9_10 s.157
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• pp.1366-1377
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• 2006

The purposes of this study was to find out 1) the difference in the importance degree of store attribute according to interaction between fashion product types and task situations, 2) the difference in the importance degree of store attribute according to the patronized store types on the basis of fashion product types. The subjects were female adults who lived in Seoul. The sampling method was quota sampling. The data was obtained from 391 questionnaires. The data were analyzed using frequency, one-way ANOVA, Duncan test, and two-way ANOVA by means of SPSS. The results were as follows; 1. According to fashion product types and task situations, there were significant differences in factors of product features, services, physical environments of the store, and price. 2. According to interaction between fashion product types and task situations, there were significant differences in factors of product features, services, physical environments of the store, and price. 3. There were significant differences in factors of product features, services, physical environments of the store, and location of store according to patronized store types, when a consumer purchased a suit, casual wear and inner wear.

• Journal of the Korea Society of Computer and Information
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• v.21 no.5
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• pp.119-126
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• 2016

Software maintenance becomes extremely difficult, especially caused by multiple versions in project-based or customer-oriented software development methodology. For reducing the maintenance cost, reengineering to software product line can be a solution to the software which either is a family of products nevertheless little different functionalities or are customized for each different customer's requirement. At an initial stage of the reengineering, the most important activity in software product line is feature extraction with respect to commonality and variability from the existing system due to verifying functional coverage. Several researchers have studied to extract features. They considered only a single version in a single product. However, this is an obstacle to classify the commonality and variability of features. Therefore, we propose a method for systematically extracting features from source code and its change history considering several versions of the existing system. It enables us to represent functionalities reflecting developer's intention, and to clarify the rationale of variation.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.7
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• pp.251-256
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• 2021

Software Product Line Engineering (SPLE) has been known as an efficient and effective software reuse methodology. One of the key activities of SPLE is scoping analysis, which determines the range of the features to be developed as reusable assets. Although several scoping methods has been reported, they are not sufficient to apply them to the defense domain. In this paper, we present a scoping method applicable to the defense domain, and present a case study for applying SPLE to inertial navigation weapon system. At first, the proposed method determines the range of candidate features to be applied for the platform. The range is then adjusted from the perspective of product benefit. The final range of features is decided through considering the total cost of a product line. We will demonstrate and evaluate the applicability of the proposed method by showing how we can decide the scope of features to be engineered for the navigation software product line.

• Korean Journal of Computational Design and Engineering
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• v.9 no.2
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• pp.175-182
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• 2004

As a bridge between design and manufacturing, process planning is to generate a sequenced set of instructions to manufacture the specified part. Automatic interpretation of manufacturing information incorporated in the design documentation such as CAD file has been a knotty subject for manufacturing engineers since no current data exchange format for product data provides a perfect interface between heterogeneous systems. The recent neutral data exchange format STEp, standard for the exchange of product model data, includes not only geometry but also technical and managerial information. STEP AP(Application Protocol) 224 is specifically dedicated to the mechanical product definition for process planning using machining features. Given a design information in STEP AP 224 format, process planning can be made without human intervention. This paper describes a method to determine the sequence of machining features by using the machining features and the manufacturing information expressed in STEP AP224.

• International Journal of CAD/CAM
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• v.3 no.1_2
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• pp.43-50
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• 2003

This paper presents a methodology in which the knowledge of design intents and change requests is communicated unambiguously cross collaboration partners through features. The domain of application is focused on the plastic part design for enabling effective collaboration between the product design and plastic mold making. The methodology takes the feature-based design approach and allows design features and knowledge to be reused in plastic injection mold design. It shortens the mold design lead-time, reduces mold design efforts, and enables unambiguous and fast design change management between product and mold designers. These contribute to the reduction of product development cycle time.

• The KIPS Transactions:PartB
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• v.17B no.1
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• pp.93-98
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• 2010

In this paper, we introduce a system that summarizes product evaluation through linguistic analysis to effectively utilize explosively increasing product reviews. Our system analyzes polarities of product reviews by product features, based on which customers evaluate each product like 'design' and 'material' for a skirt product category. The system shows to customers a graph as a review summary that represents percentages of positive and negative reviews. We build an opinion word dictionary for each product feature through context based automatic expansion with small seed words, and judge polarity of reviews by product features with the extracted dictionary. In experiment using product reviews from online shopping malls, our system shows average accuracy of 69.8% in extracting judgemental word dictionary and 81.8% in polarity resolution for each sentence.

• Journal of the Korean Society of Costume
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• v.59 no.7
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• pp.140-153
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• 2009

In the 21st century called an age of culture and art beyond the information and technology, many companies are developing various art marketings. Cases of the art marketing especially utilizing Korean features among art marketings are being increased recently. It is creating new values as a characteristic based on the cultures value of Korea. This thesis examined cooperative product development focusing on collaborative trends between designers, artists and companies through research on product and art marketing using Korean features. Additionally, by studying features of culture promotional event including exhibition and contest sponsorship, advertisement and packaging and the meaning of futures art marketing were discussed. Though, to date, academic researches have not been thoroughgoing enough in this field, it is considered that cultural product commercializing cultural particularity can strengthen the national image with acknowledgement of the global value as the art marketing using Korean features can contribute to improve recognition and the national image. Based upon this study, the value of Korean features on which custom culture of Korea dwells will be able to give a help to the designer and artist for progressing collaboration with companies as well as the companies for introducing new cultural characteristic to marketing, in the future-proof point of view. Additionally, it will be able to help the government planning the policy for intensifying the national image as a reference.