Jyväskylän yliopiston opinnäytetöitä
Data matrix for training XMTC machine learning models (TF-IDF) with Voikko lemmatisation (fi)
Data matrix for training XMTC machine learning models (TF-IDF) with Voikko lemmatisation. Based on Finnish corpus. Textual data follows the Bag-of-Words feature file format of The Extreme Classification Repositoryn (http://manikvarma.org/downloads/XC/XMLRepository.html).
The first line is formatted as:
total_documents number_of_features number_of_labels
All other lines represent one document per line:
label1,label2,...,labelk ft1:ft1_val ft2:ft2_val ft3:ft3_val .. ftd:ftd_val
i.e, comma-separated list of labels followed by all non-zero components of the TF-IDF vector given as component_number:value.
Preview
There are no views created for this data resource yet.
Additional information
| Format | TXT |
|---|---|
| File size | 68923498 |
| Data status | Current version |
| Temporal Coverage | 01.01.2010 - 31.12.2017 |
| Data last updated | 24 February 2021 |
| Metadata last updated | 24 February 2021 |
| Created | 24 February 2021 |
| SHA256 | 8086b21254abc2278a008bb39a00b07e5db992d7e4b045dc473799e75495d992 |