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Web Crawling-based Global Product Sourcing Model


Yeong-HwiAhn , Koo-Rack Park, Jae-Woong Kim, Dong-Hyun Kim
Abstract

Product planners involved in international trade on product development and distribution are constrained to ensure the output of the target output which is proportional to input time, and companies outsource some of their demand through external suppliers.As a result, it is necessary to establish and operate a system that allows them to source global products quickly.In order to source the best products, product planners obtain accurate and useful information, and in order to develop the best products by fully reflecting the needs and services of consumers at each stage of product design, parts, process and production planning, various and vast amounts of data on web pages are efficiently analyzed. Jieba was used as a Chinese segmentation tool to collect data about products based on web crawling that can collect and utilize the data that users want in real time and carry out the sentiment analysis of product users' reviews. And Chinese stemmer was designed using Chinese Stanford Tagger among Stanford POS Taggers. Through this, satisfaction with product usage was calculated and actively used for product development.A company's strategic plan is very important, and it is to maximize its profits by making the most of limited production resources. To this end, companies are outsourcing some of their demand through external suppliers, and releasing the right product at the right time is a matter of life and death. The global product sourcing model proposed in this paper is a system that can obtain useful and accurate information for selecting the best product. According to a survey of the use of the proposed model for product planners involved in product development, the satisfaction results more than expected in the items of system use satisfaction, system efficiency and system effectiveness.In order to implement a more accurate global product sourcing system, research on the sentiment analysis of Chinese review as well as the sentiment analysis of multinational languages such as English, Japanese, and Korean should be continued.

Volume 11 | 08-Special Issue

Pages: 2032-2039