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Migration from Post-Soviet countries to Poland and the Baltic States: trends and features
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In: Baltic Region ; 13 ; 4 ; 79-94 (2022)
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| 2 |
Spaces, Places, and Geographies of Public Spheres: Exploring Dimensions of the Spatial Turn
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In: Media and Communication ; 9 ; 3 ; 1-4 ; Spaces, Places, and Geographies of Public Spheres (2022)
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Structures of the Public Sphere: Contested Spaces as Assembled Interfaces
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In: Media and Communication ; 9 ; 3 ; 16-27 ; Spaces, Places, and Geographies of Public Spheres (2022)
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Relational Urbanisation, Resilience, Revolution: Beirut as a Relational City?
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In: Urban Planning ; 7 ; 1 ; 183-192 ; Urbanisation, Crisis, and Resilience: The Multiple Dimensions of Urban Transformation in Beirut, Lebanon (2022)
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Planning Adaptation: Accommodating Complexity in the Built Environment
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In: Urban Planning ; 7 ; 1 ; 44-55 ; City as Flux: Interrogating the Changing Nature of Urban Change (2022)
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| 6 |
Mitteldeutschland - Regionalbegriff und Handlungsraum
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In: "Metropolregion Mitteldeutschland" aus raumwissenschaftlicher Sicht ; 30 ; Arbeitsberichte der ARL ; 13-51 (2021)
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| 7 |
Kleinstädte als Forschungsgegenstand: Bestimmungsmerkmale, Bedeutungen und Zugänge
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In: Kompendium Kleinstadtforschung ; 16 ; Forschungsberichte der ARL ; 5-23 (2021)
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| 8 |
Coffeehouses (re)appropriated: counterpublics and cultural resistance in Tabriz, Iran
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In: Urban Planning ; 5 ; 4 ; 183-192 ; Built environment, ethics and everyday life (2020)
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Urban Narrative: Computational Linguistic Interpretation of Large Format Public Participation for Urban Infrastructure
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In: Urban Planning ; 5 ; 4 ; 20-32 ; The City of Digital Social Innovators (2020)
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| 10 |
Metropole - Größe, Funktion und Symbolik: Eine quantitative Textanalyse deutscher Printmedien für Berlin und Hamburg
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In: Raumforschung und Raumordnung / Spatial Research and Planning ; 78 ; 3 ; 213-231 (2020)
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| 11 |
Wie entstehen Themen in der Planungswissenschaft?
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In: Raumforschung und Raumordnung / Spatial Research and Planning ; 77 ; 3 ; 225-240 (2020)
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| 12 |
Integration Geflüchteter in nordrhein-westfälischen Städten und Gemeinden
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In: 12 ; FGW-Studie Integrierende Stadtentwicklung ; 79 (2020)
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| 13 |
Comparative Planning Research, Learning, and Governance: The Benefits and Limitations of Learning Policy by Comparison
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In: Urban Planning ; 5 ; 1 ; 11-21 ; Comparative Planning, Learning and Evolving Governance (2020)
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| 14 |
Urban Arrival Infrastructures between Political and Humanitarian Support: The 'Refugee Welcome' Mo(ve)ment Revisited
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In: Urban Planning ; 5 ; 3 ; 67-77 ; Urban Arrival Spaces: Social Co-Existence in Times of Changing Mobilities and Local Diversity (2020)
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Integration Geflüchteter in groß- und kleinstädtischen Räumen in NRW: Zugang zu Wohnung, Arbeit und Kontakten
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In: 12 ; FGW-Impuls Integrierende Stadtentwicklung ; 4 (2020)
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| 16 |
Dauercamping als multilokale Wohnform
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In: Multilokale Lebensführungen und räumliche Entwicklung: ein Kompendium ; 13 ; Forschungsberichte der ARL ; 253-259 (2020)
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| 17 |
Zwischen sinnlichem Erleben und sprachlich-rationalem Begreifen: zur Reflexion der ästhetischen Dimension der Forschung in der Geographie
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In: Europa Regional ; 26.2018 ; 1 ; 49-61 (2019)
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| 18 |
Barriers of culture, networks, and language in international migration: a review
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In: Region: the journal of ERSA ; 5 ; 1 ; 73-89 (2019)
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| 19 |
Raum erschreiben: Darstellung und Interpretation gesellschaftlicher Räume in literarischen Texten
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In: Gesellschaft in literarischen Texten: ein Lese- und Arbeitsbuch. Bd. 1: Raum und Zeit, soziale Ungleichheit, demografische und biologische Aspekte ; 15-32 (2018)
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| 20 |
Citizen-Centric Urban Planning through Extracting Emotion Information from Twitter in an Interdisciplinary Space-Time-Linguistics Algorithm
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In: Urban Planning ; 1 ; 2 ; 114-127 (2017)
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Abstract:
Traditional urban planning processes typically happen in offices and behind desks. Modern types of civic participation can enhance those processes by acquiring citizens’ ideas and feedback in participatory sensing approaches like “People as Sensors”. As such, citizen-centric planning can be achieved by analysing Volunteered Geographic Information (VGI) data such as Twitter tweets and posts from other social media channels. These user-generated data comprise several information dimensions, such as spatial and temporal information, and textual content. However, in previous research, these dimensions were generally examined separately in single-disciplinary approaches, which does not allow for holistic conclusions in urban planning. This paper introduces TwEmLab, an interdisciplinary approach towards extracting citizens’ emotions in different locations within a city. More concretely, we analyse tweets in three dimensions (space, time, and linguistics), based on similarities between each pair of tweets as defined by a specific set of functional relationships in each dimension. We use a graph-based semi-supervised learning algorithm to classify the data into discrete emotions (happiness, sadness, fear, anger/disgust, none). Our proposed solution allows tweets to be classified into emotion classes in a multi-parametric approach. Additionally, we created a manually annotated gold standard that can be used to evaluate TwEmLab’s performance. Our experimental results show that we are able to identify tweets carrying emotions and that our approach bears extensive potential to reveal new insights into citizens’ perceptions of the city.
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Keyword:
algorithm; Algorithmus; Anthropologie; Area Development Planning; Bürgerbeauftragter; electronic Media; elektronische Medien; integrated space-time-linguistics methodology; participatory planning; semi-supervised learning; Twitter emotions; Interactive; interaktive; journalism; Journalismus,Verlagswesen; Landscaping and area planning; Landschaftsgestaltung; linguistics; Linguistik; News media; participation; Partizipation; public advocate; publishing; Publizistische Medien; Raum; Raumplanung; Raumplanung und Regionalforschung; Regional Research; Siedlungssoziologie; social media; Sociology & anthropology; Sociology of Settlements and Housing; Soziale Medien; Soziologie; Stadtplanung; Stadtsoziologie; Städtebau; time; Twitter; urban planning; Urban Sociology; Zeit; zone
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URL: https://doi.org/10.17645/up.v1i2.617
http://www.ssoar.info/ssoar/handle/document/54390
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