• Title, Summary, Keyword: Product Review

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FEROM: Feature Extraction and Refinement for Opinion Mining

  • Jeong, Ha-Na;Shin, Dong-Wook;Choi, Joong-Min
    • ETRI Journal
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    • v.33 no.5
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    • pp.720-730
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    • 2011
  • Opinion mining involves the analysis of customer opinions using product reviews and provides meaningful information including the polarity of the opinions. In opinion mining, feature extraction is important since the customers do not normally express their product opinions holistically but separately according to its individual features. However, previous research on feature-based opinion mining has not had good results due to drawbacks, such as selecting a feature considering only syntactical grammar information or treating features with similar meanings as different. To solve these problems, this paper proposes an enhanced feature extraction and refinement method called FEROM that effectively extracts correct features from review data by exploiting both grammatical properties and semantic characteristics of feature words and refines the features by recognizing and merging similar ones. A series of experiments performed on actual online review data demonstrated that FEROM is highly effective at extracting and refining features for analyzing customer review data and eventually contributes to accurate and functional opinion mining.

The Role of Strategic Learning in New Product Development Management (신제품개발 관리에서 전략적 학습의 역할)

  • Kim, Ji-Dae;Lee, Sung-Seok
    • Korean Management Science Review
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    • v.25 no.1
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    • pp.149-167
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    • 2008
  • One of characteristics of firms having successfully developed new products is that they are practicing strategic learning, that is, organizational learning for preparing the future. In this context, we attempts to examine the effect of strategic learning on the proficiency of new product development activities and new product outcome, in an empirical way. In addition, we Investigated the moderating effect of new product innovativeness on the relationship among strategic learning, proficiency of new product development activities, and new product outcome. The analysis results show that the strategic learning has a positive impact on both the proficiency of new product development activities and new product outcome. And it was found that the impact of strategic learning on the proficiency of new product development activities is increasing when firms developing new products with high degree of innovativeness. However, the impact of strategic learning on new product outcome was not different according to new product innovativeness. This results shed some insight on the role of strategic learning in the new product development management.

A Sentiment Analysis Algorithm for Automatic Product Reviews Classification in On-Line Shopping Mall (온라인 쇼핑몰의 상품평 자동분류를 위한 감성분석 알고리즘)

  • Chang, Jae-Young
    • The Journal of Society for e-Business Studies
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    • v.14 no.4
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    • pp.19-33
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    • 2009
  • With the continuously increasing volume of e-commerce transactions, it is now popular to buy some products and to evaluate them on the World Wide Web. The product reviews are very useful to customers because they can make better decisions based on the indirect experiences obtainable through the reviews. Product Reviews are results expressing customer's sentiments and thus are divided into positive reviews and negative ones. However, as the number of reviews in on-line shopping increases, it is inefficient or sometimes impossible for users to read all the relevant review documents. In this paper, we present a sentiment analysis algorithm for automatically classifying subjective opinions of customer's reviews using opinion mining technology. The proposed algorithm is to focus on product reviews of on-line shopping, and provides summarized results from large product review data by determining whether they are positive or negative. Additionally, this paper introduces an automatic review analysis system implemented based on the proposed algorithm, and also present the experiment results for verifying the efficiency of the algorithm.

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The Effect of Selection Attribute of HMR Product on the Consumer Purchasing Intention of an Single Household - Centered on the Regulation Effect of Consumer Online Reviews - (HMR 상품의 선택속성이 1인 가구의 소비자 구매의도에 미치는 영향 - 소비자 온라인 리뷰의 조절효과 중심으로 -)

  • Kim, Hee-Yeon
    • Culinary science and hospitality research
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    • v.22 no.8
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    • pp.109-121
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    • 2016
  • This study analyzed the effect of five sub-variables' attribute of HMR: features of information, diversity, promptness, price and convenience, on the consumer purchasing intention. In addition, the regulation effect of positive reviews and negative reviews of consumers' online reviews between HMR selection attribute and purchasing intention was also tested. Results are following. First, convenience feature (B=.577, p<.001) and diversity feature (B=.093, p<.01) among the effect of HMR selection attribute had a positive (+) effect on purchasing intention. On the other hand, promptness feature (B=.235, p<.001) and price feature (B=.161, p<.001), and information feature (B=.288, p<.001) were not significant effect on purchasing intention. Second, result of regulation effect of the positive reviews of consumer's online review between the selection attribute of the HMR product and consumers' purchasing intention, in the first-stage model in which the selection attribute of the HMR product is input as an independent variable, there was a significant positive (+) effect on all the features of convenience, diversity, promptness, price, and information. In addition, there was significant positive (+) main effect (B=.472, p<.001) in the second step model in which the consumers' positive reviews, that is a regulation variable. Furthermore, the feature of price (B=.068, p<.05) had a significant positive (+) effect in the third stage in which the selection attribute of the HMR product that is an independent variable and the interaction of the positive review. However, the feature of information (B=-.063, p<.05) showed negative (-) effect, and there was no effect on the features of convenience, diversity, and promptness. Third, as a result of testing the regulation effect of the negative reviews of consumers' online reviews between HMR product selection attribute and consumers' purchasing intention, in the first-stage model in which the selection attribute of the HMR product was a positive (+) effect on all the features of convenience, diversity, promptness, price, and information. In the second-stage model in which consumers' negative reviews (B=-.113, p<.001) had negative (-) effect. In the third-stage in which the selection attribute of the HMR product and the interactions of the negative reviews was a positive (+) effect with the feature of price (B=.113, p<.01). Last, there was no effect at all on the features of convenience, promptness, and information.

Naphthaquinones from some Boraginaceous Taxa-A Chemical Review

  • Khatoon, Sayyada;Mehrotra, Shanta
    • Natural Product Sciences
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    • v.2 no.2
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    • pp.75-85
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    • 1996
  • The naphthaquinones-isohexenylnaphthazarins-are mostly found in the ceratenchymatous cells of the roots of some boraginaceous taxa. A total of 34 naphthazarins and their derivatives have been isolated from these taxa till date.

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Study on User Experience design in Gesture Interaction as a Product Trigger - Focusing on Product Design - (제품 트리거로서 행동인식의 사용자 경험 디자인 연구 - 제품디자인을 중심으로 -)

  • Min, Sae-yan;Lee, Cathy Yeonchoo
    • Journal of Digital Convergence
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    • v.17 no.5
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    • pp.379-384
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    • 2019
  • The purpose of this study is to investigate the problems of the rapidly increasing voice interface and to find out what results will be obtained when the new gesture interaction is applied to the product, and to suggest the improvement method for a better user experience. Through the literature review, I have conducted a theoretical review on the changes in the product interface used in the product and the difference between them, and then conducted in-depth interviews on the 20-30 users who used voice recognition as a product trigger. As a result, it was concluded that the decline in the reliability of accuracy leads to a decrease in the preference of voice recognition interactions and an needs of appropriate interface for the functional aspect of non-relavancy in physical distance as a product trigger. This study is meaningful in that it has found a problem with the study of the product trigger interface and suggested improvement measures, and hope to be helpful in follow-up study.

A Study on the Method for Extracting the Purpose-Specific Customized Information from Online Product Reviews based on Text Mining (텍스트 마이닝 기반의 온라인 상품 리뷰 추출을 통한 목적별 맞춤화 정보 도출 방법론 연구)

  • Kim, Joo Young;Kim, Dong soo
    • The Journal of Society for e-Business Studies
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    • v.21 no.2
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    • pp.151-161
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    • 2016
  • In the era of the Web 2.0, characterized by the openness, sharing and participation, it is easy for internet users to produce and share the data. The amount of the unstructured data which occupies most of the digital world's data has increased exponentially. One of the kinds of the unstructured data called personal online product reviews is necessary for both the company that produces those products and the potential customers who are interested in those products. In order to extract useful information from lots of scattered review data, the process of collecting data, storing, preprocessing, analyzing, and drawing a conclusion is needed. Therefore we introduce the text-mining methodology for applying the natural language process technology to the text format data like product review in order to carry out extracting structured data by using R programming. Also, we introduce the data-mining to derive the purpose-specific customized information from the structured review information drawn by the text-mining.

Unstructured Data Quantification Scheme Based on Text Mining for User Feedback Extraction (사용자 의견 추출을 위한 텍스트 마이닝 기반 비정형 데이터 정량화 방안)

  • Jo, Jung-Heum;Chung, Yong-Taek;Choi, Seong-Wook;Ok, Changsoo
    • Journal of the Society of Korea Industrial and Systems Engineering
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    • v.41 no.4
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    • pp.131-137
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    • 2018
  • People write reviews of numerous products or services on the Internet, in their blogs or community bulletin boards. These unstructured data contain important emotions and opinions about the author's product or service, which can provide important information for future product design or marketing. However, this text-based information cannot be evaluated quantitatively, and thus they are difficult to apply to mathematical models or optimization problems for product design and improvement. Therefore, this study proposes a method to quantitatively extract user's opinion or preference about a specific product or service by utilizing a lot of text-based information existing on the Internet or online. The extracted unstructured text information is decomposed into basic unit words, and positive rate is evaluated by using existing emotional dictionaries and additional lists proposed in this study. This can be a way to effectively utilize unstructured text data, which is being generated and stored in vast quantities, in product or service design. Finally, to verify the effectiveness of the proposed method, a case study was conducted using movie review data retrieved from a portal website. By comparing the positive rates calculated by the proposed framework with user ratings for movies, a guideline on text mining based evaluation of unstructured data is provided.

Item Development for Fashion Products Using Creative Thinking Methods -A Case of Velvet Products- (패션 상품 아이템 개발을 위한 창의적 발상법의 활용 -벨벳 상품의 사례-)

  • Chung, Ihn Hee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.37 no.2
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    • pp.213-223
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    • 2013
  • This study presents the process of fashion item development with velvet through creative thinking methods. Creativity is one of the most important requirements for a successful job career and education enhancing creative thinking is needed in the area of fabrication, product design, and marketing strategy development. Velvet was selected as a research stimulus because it is a luxurious fabric with various differential properties such as a soft touch, unique luster, excellent drapability, and fine physical properties. The research methodology included creative thinking methods review, the selection of the tools, idea sourcing and listing, sequential idea evaluation and sample product making. After review of the various creative thinking methods, a combination method and forced connection method were employed as research tools to confirm the usefulness of creative thinking training because of their independence of use and application simplicity. A total of 12 university students participated as subjects in this research. After some training, each student derived ten ideas for velvet products that utilized a combination method and forced connection method. A total of 120 ideas were evaluated for novelty, technical possibility, practicality, and marketability; subsequently, 24 ideas were adopted and developed as sample products. The effectiveness of creativity education in fabrication and product design classes was verified through the whole process of product planning.