nametagger
Named Entity Recognition in Texts using 'NameTag'
Wraps the 'nametag' library https://github.com/ufal/nametag, allowing users to find and extract entities (names, persons, locations, addresses, ...) in raw text and build your own entity recognition models. Based on a maximum entropy Markov model which is described in Strakova J., Straka M. and Hajic J. (2013) https://ufal.mff.cuni.cz/~straka/papers/2013-tsd_ner.pdf.
- Version0.1.3
- R versionunknown
- LicenseMPL-2.0
- Needs compilation?Yes
- Last release09/13/2023
Documentation
Team
Jan Wijffels
BNOSAC
Show author detailsRolesCopyright holderInstitute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic
Show author detailsRolesCopyright holderMilan Straka
Show author detailsRolesContributor, Copyright holderJana Straková
Show author detailsRolesContributor, Copyright holder
Insights
Last 30 days
This package has been downloaded 186 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,474 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Feb 26, 2025 with 43 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports1 package
- Suggests1 package
- Linking To1 package