Topic modeling and sentiment analysis of global climate change tweets (original) (raw)
Comparing Attitudes to Climate Change in the Media using sentiment analysis based on Latent Dirichlet Allocation
Diana Maynard
Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism, 2017
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A mixture of Topic Modeling and Network Analysis. The case-study of climate change on Twitter
Rocco Mazza
2021
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Evolution of international sentiment towards climate change on Twitter
Dariusz Jemielniak
Discover Sustainability, 2024
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Topic modelling of public Twitter discourses, part bot, part active human user, on climate change and global warming
Aimé-Jules Bizimana, Oumar Kane
Journal of Environmental media, 2021
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Auroop Ganguly
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Preeti Gulia
Indian Journal of Computer Science and Engineering, 2021
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Understanding #WorldEnvironmentDay User Opinions in Twitter: A Topic-Based Sentiment Analysis Approach
José Ramón Saura
Towards Data Science: Sentiment Analysis and Text Mining with Artificial Intelligence, 2018
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Sentiment analysis on Twitter data towards climate action
David Pastor-Escuredo
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Understanding climate change tweets: an open source toolkit for social media analysis
Diana Maynard
Advances in Computer Science Research, 2015
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Public discourse and sentiment during the COVID 19 pandemic: Using Latent Dirichlet Allocation for topic modeling on Twitter
ChengDa Zheng
PLOS ONE, 2020
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Big Changes Start With Small Talk: Twitter and Climate Change in Times of Coronavirus Pandemic
Vanja Ljevar, PhD
Frontiers in Psychology
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Mapping Climate Themes From 2008-2021—An Analysis of Business News Using Topic Models
Jikku Kurian
IEEE Access
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Sentiment Analysis of Shared Tweets on Global Warming on Twitter with Data Mining Methods: A Case Study on Turkish Language
Seher Arslankaya
Computational Intelligence and Neuroscience
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Public microblogging on climate change: One year of Twitter worldwide
Andrei Kirilenko
Global Environmental Change, 2014
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The Conversation around COVID-19 on Twitter—Sentiment Analysis and Topic Modelling to Analyse Tweets Published in English during the First Wave of the Pandemic
Javier J . Amores
Journalism and Media
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Tweeting on COVID-19 pandemic in South Africa: LDA-based topic modelling approach
Taofeek Abayomi
African Journal of Science, Technology, Innovation and Development
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Pearce, W., Holmberg, K. Hellsten, I. & Nerlich, B. (2014) Climate change on Twitter: topics, communities and conversations about the 2013 IPCC Working Group 1 report
Iina Hellsten, Brigitte Nerlich
2014
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Topic-Clustering Model with Temporal Distribution for Public Opinion Topic Analysis of Geospatial Social Media Data
Nianxue LUO
ISPRS International Journal of Geo-Information
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Semantic Analysis and Topic Modelling of Web-Scrapped COVID-19 Tweet Corpora through Data Mining Methodologies
Mahendra Gourisaria
Healthcare
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Pearce, W., Holmberg, K., Hellsten, I. and Nerlich, B. (2014). Climate Change on Twitter: Topics, Communities and Conversations about the 2013 IPCC Working Group 1 Report. PLOS ONE, April 9
Brigitte Nerlich
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Political Polarization over Global Warming: Analyzing Twitter Data on Climate Change
Gita Sukthankar
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Climate change on Twitter: topics, communities and conversations about the 2013 IPCC Working Group 1 report
Iina Hellsten
2014
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Exploring climate change on Twitter using seven aspects: Stance, sentiment, aggressiveness, temperature, gender, topics, and disasters
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PLOS ONE
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Intensity quantification of public opinion and emotion analysis on climate change
ashwani varshney
International Journal of Advanced Technology and Engineering Exploration, 2021
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Using algorithms to identify social activism and climate skepticism in user-generated content on Twitter
Jorge Clemente Mediavilla
Profesional De La Informacion, 2023
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Politics triumphs: a topic modeling approach of analyzing news media coverage of climate change in Pakistan
Muhammad Ittefaq
Journal of Science Communication, 2023
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Making sense of tweets using sentiment analysis on closely related topics
Nitin Choubey
Social Network Analysis and Mining, 2021
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