keyclust
A Model for Semi-Supervised Keyword Extraction from Word Embedding Models
A fast and computationally efficient algorithm designed to enable researchers to efficiently and quickly extract semantically-related keywords using a fitted embedding model. For more details about the methods applied, see Chester (2025). <doi:10.17605/OSF.IO/5B7RQ>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.5 |
rolling linux/jammy R-4.5 | keyclust_1.2.5.tar.gz |
1.0 MiB |
1.2.5 |
rolling linux/noble R-4.5 | keyclust_1.2.5.tar.gz |
1.0 MiB |
1.2.5 |
rolling source/ R- | keyclust_1.2.5.tar.gz |
1022.3 KiB |
1.2.5 |
latest linux/jammy R-4.5 | keyclust_1.2.5.tar.gz |
1.0 MiB |
1.2.5 |
latest linux/noble R-4.5 | keyclust_1.2.5.tar.gz |
1.0 MiB |
1.2.5 |
latest source/ R- | keyclust_1.2.5.tar.gz |
1022.3 KiB |
1.2.5 |
2026-04-26 source/ R- | keyclust_1.2.5.tar.gz |
1022.3 KiB |
1.2.5 |
2026-04-23 source/ R- | keyclust_1.2.5.tar.gz |
1022.3 KiB |
1.2.5 |
2026-04-09 windows/windows R-4.5 | keyclust_1.2.5.zip |
1.3 MiB |