name |
TOME |
short description |
'TOME is a tool to support the interactive exploration and visualization of text-based archives, supported by a Digital Humanities Startup Grant from the National Endowment for the Humanities (Lauren Klein and Jacob Eisenstein, co-PIs). Drawing upon the technique of topic modeling—a machine learning method for identifying the set of topics, or themes, in a document set—our tool allows humanities scholars to trace the evolution and circulation of these themes across networks and over time.' |
software category |
topic-models |
developer |
|
maintainer |
|
current version |
None |
last changed |
None |
programming lanuage(s) |
Python, Jupyter Notebook |
operating system(s) |
|
license |
Unknown |
costs |
None |
language |
|
architecture |
stand-alone application |
web-links |
supported methods |
|
additional features |