Abstract
With the development of the Internet, online medical platforms have become a new way for people to access medical services conveniently. Chinese medicine, as an important part of our traditional culture, is also gradually applied to the online medical field. In this paper, we first crawled and cleaned the TCM consultation comments on the Good Doctor platform using a Python web crawler, then used the jieba library to classify the text, used the HIT deactivation word list for word filtering and drew a word cloud map using wordcloud, and finally used Scikit-learn to build an LDA topic model to explore the online medical platform The LDA topic model was constructed using Scikit-learn to explore the topic classification of TCM user comments on online medical platforms, further discuss the opportunities and challenges for the development of TCM business on online medical platforms, and give suggestions for the development of TCM business on online medical platforms.
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