Natural language processing for urban research: A systematic review
Natural language processing (NLP) has shown potential as a promising tool to exploit under-utilized urban data sources. This paper presents a systematic review of urban studies published in peer-reviewed journals and conference proceedings that adopted NLP. The review suggests that the application o...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-03-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844021004278 |
| _version_ | 1818667940430479360 |
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| author | Meng Cai |
| author_facet | Meng Cai |
| author_sort | Meng Cai |
| collection | DOAJ |
| description | Natural language processing (NLP) has shown potential as a promising tool to exploit under-utilized urban data sources. This paper presents a systematic review of urban studies published in peer-reviewed journals and conference proceedings that adopted NLP. The review suggests that the application of NLP in studying cities is still in its infancy. Current applications fell into five areas: urban governance and management, public health, land use and functional zones, mobility, and urban design. NLP demonstrates the advantages of improving the usability of urban big data sources, expanding study scales, and reducing research costs. On the other hand, to take advantage of NLP, urban researchers face challenges of raising good research questions, overcoming data incompleteness, inaccessibility, and non-representativeness, immature NLP techniques, and computational skill requirements. This review is among the first efforts intended to provide an overview of existing applications and challenges for advancing urban research through the adoption of NLP. |
| first_indexed | 2024-12-17T06:28:24Z |
| format | Article |
| id | doaj.art-5379c31e24874740b869e6d21ac6f0a5 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-12-17T06:28:24Z |
| publishDate | 2021-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-5379c31e24874740b869e6d21ac6f0a52022-12-21T22:00:13ZengElsevierHeliyon2405-84402021-03-0173e06322Natural language processing for urban research: A systematic reviewMeng Cai0Corresponding author.; School of Planning, Design and Construction, Michigan State University, East Lansing, Michigan, 48824, United StatesNatural language processing (NLP) has shown potential as a promising tool to exploit under-utilized urban data sources. This paper presents a systematic review of urban studies published in peer-reviewed journals and conference proceedings that adopted NLP. The review suggests that the application of NLP in studying cities is still in its infancy. Current applications fell into five areas: urban governance and management, public health, land use and functional zones, mobility, and urban design. NLP demonstrates the advantages of improving the usability of urban big data sources, expanding study scales, and reducing research costs. On the other hand, to take advantage of NLP, urban researchers face challenges of raising good research questions, overcoming data incompleteness, inaccessibility, and non-representativeness, immature NLP techniques, and computational skill requirements. This review is among the first efforts intended to provide an overview of existing applications and challenges for advancing urban research through the adoption of NLP.http://www.sciencedirect.com/science/article/pii/S2405844021004278Natural language processingUrban researchUrban big dataText mining |
| spellingShingle | Meng Cai Natural language processing for urban research: A systematic review Heliyon Natural language processing Urban research Urban big data Text mining |
| title | Natural language processing for urban research: A systematic review |
| title_full | Natural language processing for urban research: A systematic review |
| title_fullStr | Natural language processing for urban research: A systematic review |
| title_full_unstemmed | Natural language processing for urban research: A systematic review |
| title_short | Natural language processing for urban research: A systematic review |
| title_sort | natural language processing for urban research a systematic review |
| topic | Natural language processing Urban research Urban big data Text mining |
| url | http://www.sciencedirect.com/science/article/pii/S2405844021004278 |
| work_keys_str_mv | AT mengcai naturallanguageprocessingforurbanresearchasystematicreview |