Companies widely use survey to identify customer requirements, but the survey has some problems. First of all, the response is passive due to pre-designed questionnaire by companies which are the surveyor. Second, the surveyor needs to have good preliminary knowledge to improve the quality of the survey. On the other hand, text mining is an excellent way to compensate for the limitations of surveys. Recently, the importance of online review is steadily grown, and the enormous amount of text data has increased as Internet usage higher. Also, a technique to extract high-quality information from text data called Text Mining is improving. However, previous studies tend to focus on improving the accuracy of individual analytics techniques. This study proposes the methodology by combining several text mining techniques and has mainly three contributions. Firstly, able to extract information from text data without a preliminary design of the surveyor. Secondly, no need for prior knowledge to extract information. Lastly, this method provides quantitative sentiment score that can be used in decision-making.

A success of network integration project depends on how well we are able to provide a network implementation fulfilled with customer's requirements within an established budge. As its environment have become enlarged and distributed, the interested parties will be increased and as its customer's technologies have become generalized through a lot of learning opportunities, the requirements will be increased and its qualities will be better. Therefore, it is getting difficult to satisfy their requirements and maintain its qualities. Effectively managing conditions that are able to have effects on resources and schedule at the early requirement analysis stage due to the requirement changes at the end of the project, we are about to offer a service quality and requirement management that can fulfill with customer's requests.

Dongbu HiTek had a focal group depth interview with pesticide sales dealers and farmers in 2007. With results, dealers assessed a white fly as a most difficult pest in up-land crop cultivation, and answered the increase and change of pests and pathogen from climate change as a most concerned event. Farmers pointed that important jobs in vegetable cultivation were the control of pest and pathogen (34%) and the prevention of pest and pathogen (24%). And difficult works was the control of pest and pathogen (24%), and the climate change (18%). When choosing the insecticide, the long lasting activity (44%) and the completeness of control (34%) were the important factors. Among customers’ claims related with white fly, claims on insufficient efficacy was dominant and occupied 86% in spite of efforts of producers, and it reflected that commercial agrochemicals did not meet the expectation level of the farmers. Common agrochemicals for the control of white fly are Neo-Nicotinoids in Korea today and CGAR of it is about 13% average increased per year from 2003. As Bio Type Q showed higher resistant level to the Neo Nicotinoids than other Bio type (Nauen et al. 2002), Bio Type Q would spread easily and counter-plan is needed.. Market size of agrochemical for white fly is assumed to be about 9.6 million US dollars. The market size is smaller than that of aphids or lepidopterous pests, but the market would increase because of suffering and failure in control due to resistance and resurgence problems. As the increase of vegetable consuming, host crop for the white fly is also increasing. As green house cultivation area of host vegetable increases, natural enemies to foreign invading pest like sweet potato white fly are limited. Also it is important that that management of pest and pathogen in green house environment. It is essential to build pest management model and to develop and commercialize agrochemicals according to the critical customer (farmer) requirement.