No project description provided
Project description
README
NORN
Data
- Konsensuskorpuset (
konsensuskorpus_master.xlsx) inneholder manuelt kuraterte rader med metadata om bøker fra 1800-tallslitteraturen som omtales i Litteraturhistoriske verk som "nasjonalromantiske". Data/1800-1839_metadata.xlsxinneholder metadata om 101 verk som ble publisert fra 1800 og før 1840.Data/1840-1869_metadata.xlsxinneholder metadata om 239 verk som ble publisert fra 1840, før 1870.
Prosessering
Dataprossesseringen er dokumentert i notebooks i repoet.
do_analysis.ipynbaggregerer opp annotasjonene i konsensuskorpuset.add_imagination_metadata.ipynbhenter inn URN-lister for delkorpusene og legger til metadata.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
norn_dh-0.2.0.tar.gz
(7.5 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
norn_dh-0.2.0-py3-none-any.whl
(10.3 kB
view details)
File details
Details for the file norn_dh-0.2.0.tar.gz.
File metadata
- Download URL: norn_dh-0.2.0.tar.gz
- Upload date:
- Size: 7.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.7.1 CPython/3.10.12 Linux/6.2.0-39-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6e8d2922c92adbc488428bca46cc3b4f3fa689793b18439b0af5d3fa4b04dd68
|
|
| MD5 |
a2d183b2fbb35986dd81ad24c983de4c
|
|
| BLAKE2b-256 |
c8d0e3f88a775c3244def02ecfe2486bd3c5384b3ebf64eed4d402e2135148bd
|
File details
Details for the file norn_dh-0.2.0-py3-none-any.whl.
File metadata
- Download URL: norn_dh-0.2.0-py3-none-any.whl
- Upload date:
- Size: 10.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.7.1 CPython/3.10.12 Linux/6.2.0-39-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7dfb10b6a27a53b177edbcbfd3e5ef3ab012a1b490b03aecdd62e510b40e3f26
|
|
| MD5 |
e09f4e0253fc5789f2c22a36a83730ec
|
|
| BLAKE2b-256 |
26462a32bd28ffe65ecab510b67f948820cee234899395000ac0228e6f1b829c
|
