PuReGoMe
Analyzes social media messages for polarity and stance towards governmental COVID-19 measures
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Description
- Provides frequency analyses of topics in social media messages
- Generates automatic overviews of sentiment towards topics over time
- Produces stance information on topics, given some gold standard data
PuReGoMe is a research project of Utrecht University and the Netherlands eScience Center. We analyze Dutch social media messages to assess the opinion of the public towards the COVID-19 pandemic mesasures taken by the Dutch government.
The software uses three data sources for social media analysis. Our main data source are Dutch tweets from Twitter. We use Dutch posts from Reddit and comments from Nu.nl as sources of verfication of the results obtained by the tweet analysis.
PuReGoMe performs analysis on three different levels: by counting messages, by determining their polarity (sentiment) and by determining their stance with respect to anti-pandemic government measures.
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Reference papers
Mentions
- 1.Author(s): Aisha Aldosery, Robert Carruthers, Karandeep Kay, Christian Cave, Paul Reynolds, Patty KostkovaPublished in Frontiers in Public Health by Frontiers Media SA in 202410.3389/fpubh.2024.1105383
- 2.Author(s): Chao Zhang, Shihan Wang, Erik Tjong Kim Sang, Marieke A. Adriaanse, Lars Tummers, Marijn Schraagen, Ji Qi, Mehdi Dastani, Henk AartsPublished in Frontiers in Public Health by Frontiers Media SA in 202210.3389/fpubh.2022.856825
- 3.Author(s): Luna De Bruyne, Orphée De Clercq, Veronique HostePublished in 2021
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PuReGoMe
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