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Research on Text and Community Marketing of Little Red Book UGC Platform under Natural Language Processing

The Little Red Book has harvested a large number of users because of UGC attributes and soft-text marketing strategies. In order to explore the Little Red Book UGC community and traditional online community differences and advantages, as well as the Little Red Book app soft-text marketing and community marketing characteristics. The simple model method is used to compare and analyze it, and the content analysis is carried out based on the soft-text marketing theory of "equilibrium hardness". This method conducts overall observation from the perspective of local language and consumer psychology. In addition, the sentiment analysis model based on natural language processing acts on the huge online comment content of the community, transforming the abstract text content into data that is convenient for quantitative analysis. It is concluded that the Little Red Book app has carried out in-depth exploration and innovative development of the ugh model. Based on soft text marketing and community marketing, Little Red Book actively explores new channels for paying communities and sales transformation.