Social media analysis of car parking behavior using similarity based clustering
Approved
Classifications
MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal
Publication channel information
Title of journal/series
Journal of big data
ISSN (electronic)
2196-1115
ISSN (linking)
2196-1115
Publisher
Springer
Publication forum ID
75298
Publication forum level
1
Country of publication
Germany
Internationality
Yes
Detailed publication information
Publication year
2022
Reporting year
2022
Journal/series volume number
9
Journal/series issue number
1
Article number
74
DOI
10.1186/s40537-022-00627-x
Language of publication
English
Co-publication information
International co-publication
No
Co-publication with a company
No
Availability
Link to online publication
Link to self-archived version
Classification and additional information
MinEdu field of science classification
113 Computer and information sciences
Keywords
Natural language processing (NLP); Parking; Social media; Social networks; Twitter
Funding information
Funding information in the publication
This work is supported by the European Regional Funding grant IPaWa (2019-2022) related to Car Parking Planning and IoT in Oulu region
Research data information
Research data information in the publication
Both data and code are made available from Github account of the frst author.
Source database ID
WoS ID
WOS:000803916200004
Scopus ID
2-s2.0-85131015509
Other database ID
PMID: 35669350