Twitter's pulse on hydrogen energy in 280 characters: a data perspective

SOCIAL NETWORK ANALYSIS AND MINING(2024)

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摘要
Uncovering the public discourse on hydrogen energy is essential for understanding public behaviour and the evolving nature of conversations over time and across different regions. This paper presents a comprehensive analysis of a large multilingual dataset pertaining to hydrogen energy collected from Twitter spanning a decade (2013-2022) using selected keywords. The analysis aims to explore various aspects, including the temporal and spatial dimensions of the discourse, factors influencing Twitter engagement, user engagement patterns, and the interpretation of conversations through hashtags and ngrams. By delving into these aspects, this study offers valuable insights into the dynamics of public discourse surrounding hydrogen energy and the perceptions of social media users.
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关键词
Twitter data,Hydrogen energy,Information retrieval,Natural language processing,Green energy,Spatiotemporal analysis
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