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The aim of this study is to investigate the topics that people discussed in Greater London during the Coronavirus disease 2019 (COVID-19) lockdown period. The Latent Dirichlet Allocation (LDA) method was used to investigate the topics discussed by people, then the sentiments and perceptions of social media users were evaluated by using Syuzhet R package, and the spatial patterns of urban green space visitation were also studied. LDA analysis identified eight topic groups, among which the word “lockdown” was frequently mentioned. Further, the sentiment analysis showed that users posted Tweets that were more negative when they referred to ‘lockdown’ during this period.
", "publication_date": "2021-04-07", "publisher": "Zenodo", "resource_type": { "id": "publication-conferencepaper", "title": { "de": "Konferenzbeitrag", "en": "Conference paper" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "title": "Topics and sentiments on Twitter during lockdown in London" }, "parent": { "access": { "owned_by": { "user": 207313 }, "settings": { "accept_conditions_text": null, "allow_guest_requests": false, "allow_user_requests": false, "secret_link_expiration": 0 } }, "communities": { "default": "5895d394-fcd1-4c7e-a029-82c57508e91a", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2023-04-24T14:41:55.678917+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "5895d394-fcd1-4c7e-a029-82c57508e91a", "links": {}, "metadata": { "curation_policy": "", "page": "The 29th GISRUK conference in 2021 took place fully online - but was hosted by Cardiff University
\r\n\r\nGISRUK is the largest academic conference in Geographic Information Science in the UK. Since 1993, GISRUK has attracted international researchers and practitioners in GIS and cognate fields, including geography, computer science, data science, and urban planning to share the latest advances in spatial computing and analysis.
\r\n\r\nThe conference will cover all aspects of theoretical and applied geographical information science, but this year we will also have special sessions for papers which focus on aspects of the COVID19 pandemic, including ways of mapping the spread of the disease and spatially analysing the variation in its impact on such things as mobility, social inequalities and the outcomes of interventions such as stay at home orders.
\r\n\r\nConference proceedings of all accepted papers will be made available online
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