|
--- |
|
license: mit |
|
task_categories: |
|
- text-classification |
|
language: |
|
- lv |
|
--- |
|
|
|
## Sentiment Analysis Data for the Latvian Language |
|
|
|
**Dataset Description:** |
|
This dataset contains a sentiment analysis dataset from Sproģis et al. (2020). |
|
|
|
**Data Structure:** |
|
The data was used for the project on [improving word embeddings with graph knowledge for Low Resource Languages](https://github.com/pyRis/retrofitting-embeddings-lrls?tab=readme-ov-file). |
|
|
|
|
|
**Citation:** |
|
```bibtex |
|
@inproceedings{SprogisRikters2020BalticHLT, |
|
author = {Sproģis, Uga and Rikters, Matīss}, |
|
booktitle={In Proceedings of the 9th Conference Human Language Technologies - The Baltic Perspective (Baltic HLT 2020)}, |
|
title = {{What Can We Learn From Almost a Decade of Food Tweets}}, |
|
address={Kaunas, Lithuania}, |
|
year = {2020} |
|
} |
|
``` |