2026-10-14T10:59:19Z https://www.scidb.cn/oai

10.57760/sciencedb.26378 2025-06-12T11:13:32Z

2025-06-12 Key information granularity Sentiment value doi:10.57760/sciencedb.26378 en Sentiment analysis technology can convert textual information into digital representations, facilitating deep integration and interaction between unstructured social media data and structured carbon emissions data. By performing sentiment analysis on textual data containing keyword information, when the sentiment score approaches 0, the textual content reflects a more negative emotional tendency. Conversely, when the sentiment score approaches 1, it indicates that the textual content has a more positive emotional tendency. Key Information Granularity; Emotional Value; Text Analysis Li Hongmin Wenhao Yang PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank