Abstract
In the information age, people are spending increasing time and energy to search and involve in health topics. And processes in social network offer new ways of investigating public opinion on this topic. However, when we are talking about medical service, what do we concern? The deterioration of doctor-patient relationship? The medical insurance policy? Or the medical achievements we have got? Understanding hot topics of medical issues and its dynamic changes help us to guide a healthy doctor-patient relationship and maintain a stable online public opinion environment. In order to figure out the question, we collected the Weibo tweets about medical information and then extracted the subjects by LDA model. Due to the feature sparsity and semantic fuzziness of short texts, this paper extended the features by using Word2vec. Finally, we summarized 14 hot subjects of medical service and analyzed the dynamic change of subjects’ frequency and emotion. We find that most of the subjects are related to the medical system reform and the doctor-patient relationship. What’s more, public’s attitude to medical issues is gradually becoming growing positive.
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Wang, K., He, C., Wang, L., Wu, J. (2018). When We Talk About Medical Service, What Do We Concern? A Text Analysis of Weibo Data. In: Chen, J., Yamada, Y., Ryoke, M., Tang, X. (eds) Knowledge and Systems Sciences. KSS 2018. Communications in Computer and Information Science, vol 949. Springer, Singapore. https://doi.org/10.1007/978-981-13-3149-7_4
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DOI: https://doi.org/10.1007/978-981-13-3149-7_4
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