Vote for your favorite mineral in #MinCup25! - Pollucite vs. Tugtupite
It's the cesium #pollucite against the optical changeling #tugtupite for this match.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Karimi, Mina, Mesgari, Mohammad Saadi, Purves, Ross Stuart (2022) A comparative assessment of machine learning methods in extracting place functionality from textual content. Transactions in GIS, 26 (8) 3225-3252 doi:10.1111/tgis.12999

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleA comparative assessment of machine learning methods in extracting place functionality from textual content
JournalTransactions in GIS
AuthorsKarimi, MinaAuthor
Mesgari, Mohammad SaadiAuthor
Purves, Ross StuartAuthor
Year2022 (December)Volume26
Issue8
PublisherWiley
DOIdoi:10.1111/tgis.12999Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID15629105Long-form Identifiermindat:1:5:15629105:9
GUID0
Full ReferenceKarimi, Mina, Mesgari, Mohammad Saadi, Purves, Ross Stuart (2022) A comparative assessment of machine learning methods in extracting place functionality from textual content. Transactions in GIS, 26 (8) 3225-3252 doi:10.1111/tgis.12999
Plain TextKarimi, Mina, Mesgari, Mohammad Saadi, Purves, Ross Stuart (2022) A comparative assessment of machine learning methods in extracting place functionality from textual content. Transactions in GIS, 26 (8) 3225-3252 doi:10.1111/tgis.12999
In(2022, December) Transactions in GIS Vol. 26 (8) Wiley

See Also

These are possibly similar items as determined by title/reference text matching only.

Mackaness, William A, Chaudhry, Omair (2013) Assessing the Veracity of Methods for Extracting Place Semantics from Flickr Tags. Transactions in GIS, 17 (4) 544-562 doi:10.1111/tgis.12043
Nguyen, Huu Duy (2022) Flood susceptibility assessment using hybrid machine learning and remote sensing in Quang Tri province, Vietnam. Transactions in GIS, 26 (7) 2776-2801 doi:10.1111/tgis.12980
Zheng, Zhibin, Sieber, Renee (2022) Putting humans back in the loop of machine learning in Canadian smart cities. Transactions in GIS, 26 (1) 8-24 doi:10.1111/tgis.12869
Jacobs, Kent T., Mitchell, Scott W. (2020) OpenStreetMap quality assessment using unsupervised machine learning methods. Transactions in GIS, 24 (5) 1280-1298 doi:10.1111/tgis.12680
(2022) Cover Image. Transactions in GIS, 26 (8) doi:10.1111/tgis.13021
(2022) Taking stock. Transactions in GIS, 26 (8) 3111-3117 doi:10.1111/tgis.13010
(2022) Issue Information. Transactions in GIS, 26 (8) 3109-3110 doi:10.1111/tgis.12782
Karimi, Mina, Zakariyaeinejad, Zana, Sadeghi‐Niaraki, Abolghasem, Ahmadabadian, Ali Hosseininaveh (2022) A new method for automatic and accurate coded target recognition in oblique images to improve augmented reality precision. Transactions in GIS, 26 (3) 1509-1530 doi:10.1111/tgis.12936
Liu, Zilong; Janowicz, Krzysztof; Majic, Ivan; Shi, Meilin; Fortacz, Alexandra; Karimi, Mina; Mai, Gengchen; Currier, Kitty (2025) Operationalizing Geographic Diversity for the Evaluation of AI‐Generated Content. Transactions in GIS, 29 (3). doi:10.1111/tgis.70057
Venkateswaran, Ramya, Weibel, Robert, Purves, Ross S. (2014) Exploring and Visualizing Differences in Geographic and Linguistic Web Coverage. Transactions in GIS, 18 (6) 852-876 doi:10.1111/tgis.12071
Islam, Md Didarul, Li, Bin, Lee, Carl, Wang, Xiaoguang (2022) Incorporating spatial information in machine learning: The Moran eigenvector spatial filter approach. Transactions in GIS, 26 (2) 902-922 doi:10.1111/tgis.12894
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 8, 2025 00:48:09
Go to top of page