In this study, we typified the project for revitalizing the rural area through text analysis using news data, and analyzed the main direction and characteristics of the project. In order to examine the factors emphasized among the issues related to the revitalization of rural areas, we used news data related to 'tourism' and 'livelihood', which are the main keyword of the project to promote rural areas. In the analysis, text mining techniques were used. Topic modeling was conducted on LDA techniques for major projects in 'tourism' and 'livelihood' keyword. Based on this, this study typified the projects that are carried out for the activation of rural areas by topic. As a result of the analysis, it was fount that the topics included in the project were distributed in 11 sub-types(Tourism Promotion, Regional Specialization, Local Festival, Development of Regional Scale, Urban and Rural Exchange, Agricultural Support, Community Forest Management, Improve the Settlement Environment, General Welfare Service, Low Class Support, Others). The characteristics of the rural revitalization projects were examined, and it was confirmed that domestic projects were carried out by tourism-oriented projects. To summarize, the government is making projects to revitalize rural areas through related ministries. Within the structure where the project is spreading to the region, a lot of projects are being carried out. It is understood that the tourism and welfare oriented projects are being carried out in the revitalization project of the domestic rural area. Therefore, in order to achieve the goal of rural revitalization, it is believed that it will be effective to carry out a balanced project to improve the settlement environment of the residents.

In order to research the impact of the fixed asset investment of rural projects to the industrial structure, this article empirically analyzes the impact of the fixed asset investment of rural projects on the three industries and their structure by using the panel data model of variable coefficients, which based on the industrial date of Enshi state from 2004 to 2010. The results show that: firstly, the fixed asset investment of rural projects plays a stimulating role on the increasing of the three industries’ GDP of Enshi state; secondly, Enshi state should actively increase the fixed assets investment of rural projects in the forestry sector and develop the forestry of Enshi state by means of its rich natural resources, the agricultural sector’s natural advantages and the developing trend of a new-type stockbreeding; lastly, as a key investment in fixed asset investment industry, the real estate industry’s development always shows instability, and with the further improvement of the national macro-control policies on the real estate industry, the real estate industry should have a high potential for improvement.

The purpose of this study is to develop the data structure for querying database of a rural house design. It is necessary, for developing the data structure, to define items of rural houses and to study about the processing of the data. The classifications of rural houses can be differed in the subjective opinion for computerization. In this study, items of classified rural houses can be expressed numerically, like size and number of room. The user who has insufficient knowledge about house is hard to input items fit personal taste. The querying algorithm was developed using the relationship of items and functions of house. Functions of house mean family life-style and how they use space.