Method for determining user's opinion in social network service and system thereof

摘要

The present invention relates to a system for recommending tourist attractions for each lifestyle. In such a system, the server S and the terminal are configured through a network to recommend tourist attractions for each lifestyle. The tourist attraction recommendation method includes: a data collection step (S100) of collecting post data and accounts on social networks; A data processing step (S110) of extracting part-of-speech classification and composite index words through NLP processing; A data upload step (S120) of uploading the NLP-processed results to a DB for each account or keyword; A user interest tendency analysis step (S130) of analyzing user-topic and topic-keyword data through Latent Dirichlet Allocation (LDA) analysis using user-keyword data as input data; A lifestyle matching step of matching the intrinsic cluster characteristics of the topic with a lifestyle (S140); And it includes a tourist recommendation step (S150) for recommending tourist attractions according to the matched lifestyle.