"Self-organized Construction"and"Others-organized Construction"of Library Media Image in the New Media Environment——Network Text Analysis Based on LDA Model
The article studies the media image construction by libraries and the public from the perspective of"self-organized and others-organized".Using content analysis and text analysis methods and taking into account the characteristics of online communication,the article extracted representative samples and carried out text analysis in combining with the actual situations based on the data generated by LDA model text mining.Research has found that there is a mismatch between the library images of"self-organized"construction and"others-organized"construc-tion,with a high proportion of negative emotions in public discussion texts.Further combining the characteristics of online communication and actual situation,the article finds out that the media image construction of libraries has problems such as low construction level,weak interactivity and incomplete image shaping.Multiple measures are nee-ded to optimize the construction of media image.The article uses LDA text mining method to complete the text analy-sis of reader comments and discussions,providing a new analytical approach for future research on library services and reader satisfaction surveys.
NETL
NSTL
万方数据
