Research on the Restoration Perception Evaluation of Historical Blocks Along the Inner Mongolia Section of the Middle East Railway Based on Network Text Big Data

Under the information technology, cloud computing technology is gradually emerging. Using big data technology to analyze and process data through cloud computing can further mine information resources and give full play to the value of data resources. Using massive multi-source data as the basis for evaluation, solving the problem of difficulty in the evaluation of the restoration of historical blocks is the key to promoting the research on the restoration of historical blocks. Introduce the concept of restorative environment in the study of historical blocks along the Inner Mongolia section of the Middle East Railway, and select 51,696 online text data from 6 mainstream Chinese online media platforms Ctrip, Tuniu, Fliggy, Tongcheng, Mofang and Weibo as data sources. Through big data processing and analysis, an IPA model is established, and the characteristics of the model are used to evaluate the restoration perception of multiple historical blocks in Inner Mongolia along the Middle East Railway, and propose improvement strategies to explore the impact of the spatial perception restoration of historical blocks along the Inner Mongolia section of the Middle East Railway from the perspective of tourists’ experience perception On this basis, the restoration design inspiration of the historic district is proposed.