The structure of the grid becomes a generic diagram underlying typo-morphological reasoning, with the city as beginning and end point, conflating historical and contextual continuity in the
Summary. Dr. Weibo Liu received the B.S. degree in electrical engineering from the Department of Electrical Engineering & Electronics, University of Liverpool, Liverpool, UK, in 2015, and the Ph.D. degree in artificial intelligence in 2020
Tsinghua University & National University of Singapore - Cited by 9,569 - Process Systems Engineering - Carbon Neutrality - AI for Science - Energy Systems - Scientific AI Energy
新西伯利亚国立大学参访团一行来访新疆大学交流访问. 11月17日至20日,新西伯利亚国立大学教育出口部国际招生处代理处长扎克列夫斯卡娅·阿森纳一行3人到访新疆大学开展考察交流。
Results: According to DLUT-Emotion ontology, we examined 3 sentiment orientations of 215,565 valid Weibo posts. Among them, 25,025 posts were judged as positive emotions, accounting
The grid management system was a mechanism through which the university''s top-management staff indirectly contacted each student daily. The university knew each student''s daily temperature, travel history, and mental
Naibo Wang''s Homepage / 王乃博的个人主页 100+ forks and 80+ watches, which includes a Big V from weibo who has near 800,000 fans and also the founder of PipeDream, welcome to
In the present study, all the university Weibo posts of socio-semiotic processes are multimodally realized, including three aspects, namely linguistic realization, visual realization, and
Individuals are methodically categorized into separate groups by utilizing a blend of manually annotated data samples and support vector machines, establishing the groundwork for subsequent analyses. The second phase focuses on classifying and identifying temporal variation features in Weibo topics among user groups.
Weibo is a microblogging application, launched by Sina Corporation in 2009, based on user relationships to share, disseminate and get information. As of Q4 2019, it has over 516 million monthly active users (compared to Twitter’s 300 million), making it only the second largest social media platform in China after WeChat.
A novel taxonomy for interest extraction is introduced, considering the temporal dimension and assessing the impact of various topics on Weibo coverage and user activity. This comprehensive approach not only enhances our understanding of Weibo users but also provides a framework for future research in digital communication platforms.
The 'user-topic contribution matrix' is combined with user Weibo coverage, activity metrics, and communication power. This amalgamation creates a multi-dimensional vector space where group users are depicted as vectors, enabling the examination of Weibo topic influence among different user groups.
The above cases make clear that compared to other social media platforms, Weibo has a powerful ability, due to its large sample size, to study and track sentiment, affective states, online behaviours, and communications within the Chinese socio-cultural context.
Additionally, the authors compared the network behavior characteristics of users who had a high and low risk of committing suicide. By following one another, users of Weibo collaborate to form a kind of network relationship.
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