This study analyzes the emotional logic of the mediatization of ancient literature oriented to the overseas dissemination of Chinese culture by constructing an emotion analysis model and an emotion logic model. The sentiment analysis model includes key parts such as the model structure, the basis of sentiment analysis, and the sentiment intensity and activation tuning value. Then, through the sentiment logic model, the process of updating the sentiment subject and the system structure are studied to better understand the mediatization process of ancient literature overseas. Through the stage tasks of data crawling and sentiment categorization, rich literary works and related information were obtained from multiple channels. In the correlation analysis stage, taking literary themes as an example, it was found that the level of emotional engagement was medium-high and correlated with a reading frequency score of 7.0, and that there was a strong correlation between the emotional experience of ancient literary works and the elements of cultural transmission. Overseas readers' reading frequency during work/study leisure and before going to bed accounted for 70% and 60%, respectively, revealing that ancient literature has a high level of attention in readers' daily life, and providing an in-depth and clear perspective for understanding the dissemination effect of literature in overseas
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