Twitter Mining for Detecting Interest Trends on Biodiversity: Messages from Seven Language Communities
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- Ana Reyes-Menendez & José Ramón Saura & Cesar Alvarez-Alonso, 2018. "Understanding #WorldEnvironmentDay User Opinions in Twitter: A Topic-Based Sentiment Analysis Approach," IJERPH, MDPI, vol. 15(11), pages 1-18, November.
- Enara Zarrabeitia-Bilbao & Rosa-María Rio-Belver & Izaskun Alvarez-Meaza & Itziar Martínez de Alegría-Mancisidor, 2022. "World Environment Day: Understanding Environmental Programs Impact on Society Using Twitter Data Mining," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(1), pages 263-284, November.
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Keywords
biodiversity; social media; Twitter; natural language processing; data mining;All these keywords.
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