Social Media Analysis: CGIAR Climate Security Observatory
The Climate Security Observatory (CSO) is an online platform for stakeholder decision-making that provides access to a range of global analyses related to climate and security. The CSO is based on an integrated climate security framework that helps understand the complexity of the climate-security i...
| Autores principales: | , , , |
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| Formato: | Brief |
| Lenguaje: | Inglés |
| Publicado: |
2023
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/131275 |
| _version_ | 1855514420020510720 |
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| author | Carneiro, Bia Resce, Giuliano Ruscica, Giosuè Simone, Daniele di |
| author_browse | Carneiro, Bia Resce, Giuliano Ruscica, Giosuè Simone, Daniele di |
| author_facet | Carneiro, Bia Resce, Giuliano Ruscica, Giosuè Simone, Daniele di |
| author_sort | Carneiro, Bia |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The Climate Security Observatory (CSO) is an online platform for stakeholder decision-making that provides access to a range of global analyses related to climate and security. The CSO is based on an integrated climate security framework that helps understand the complexity of the climate-security interface. As part of the CSO Methods Paper Series, this report details the method used for the social media analysis. |
| format | Brief |
| id | CGSpace131275 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| record_format | dspace |
| spelling | CGSpace1312752025-11-05T12:28:09Z Social Media Analysis: CGIAR Climate Security Observatory Carneiro, Bia Resce, Giuliano Ruscica, Giosuè Simone, Daniele di social media text mining big data policies climate conflicts machine learning natural language processing digital methods sentiment analysis climate security The Climate Security Observatory (CSO) is an online platform for stakeholder decision-making that provides access to a range of global analyses related to climate and security. The CSO is based on an integrated climate security framework that helps understand the complexity of the climate-security interface. As part of the CSO Methods Paper Series, this report details the method used for the social media analysis. 2023-03 2023-07-25T11:53:52Z 2023-07-25T11:53:52Z Brief https://hdl.handle.net/10568/131275 en Open Access application/pdf Carneiro, B.; Resce, G.; Ruscica, G.; Di Simone, D. (2023) Social Media Analysis: CGIAR Climate Security Observatory. Methods Papers Series 03/2023. 5 p. |
| spellingShingle | social media text mining big data policies climate conflicts machine learning natural language processing digital methods sentiment analysis climate security Carneiro, Bia Resce, Giuliano Ruscica, Giosuè Simone, Daniele di Social Media Analysis: CGIAR Climate Security Observatory |
| title | Social Media Analysis: CGIAR Climate Security Observatory |
| title_full | Social Media Analysis: CGIAR Climate Security Observatory |
| title_fullStr | Social Media Analysis: CGIAR Climate Security Observatory |
| title_full_unstemmed | Social Media Analysis: CGIAR Climate Security Observatory |
| title_short | Social Media Analysis: CGIAR Climate Security Observatory |
| title_sort | social media analysis cgiar climate security observatory |
| topic | social media text mining big data policies climate conflicts machine learning natural language processing digital methods sentiment analysis climate security |
| url | https://hdl.handle.net/10568/131275 |
| work_keys_str_mv | AT carneirobia socialmediaanalysiscgiarclimatesecurityobservatory AT rescegiuliano socialmediaanalysiscgiarclimatesecurityobservatory AT ruscicagiosue socialmediaanalysiscgiarclimatesecurityobservatory AT simonedanieledi socialmediaanalysiscgiarclimatesecurityobservatory |