Research on the Development Direction of Intelligent Rural Tourism Service Based on Big Data

Abstract

The era of big data has put forward intelligent development requirements for rural tourism services. This paper designs the architecture of the big data platform by studying the design objectives of the big data platform for rural tourism services and analyzes the sentiment of tourism review data based on the Hadoop framework. The SVM classification algorithm is implemented through MapReduce to classify tourists' big data accurately. The text sentiment is analyzed by adding feature words and feature words, feature words and sentiment words constrained LDA model. For the tangibility analysis of rural tourism services, the evaluation of the catering facilities environment under the big data intelligence platform is improved by 12.78% compared with the original, and the evaluation of the accommodation facilities environment is improved by 18.16% compared with the original. For the analysis of the guarantee line of tourism service, the reasonableness of the rural tourism service process has been improved by 2.74% with the help of big data intelligent platform. To analyze the reliability of tourism services, the intelligent platform can effectively improve service-promise conformity with the help of big data technology, which is improved by 8.96% compared with the original. This platform helps to identify the factors affecting the service quality accurately and has important application value for finding service shortcomings and then making targeted improvement and enhancement plans.