|
--- |
|
license: mit |
|
task_categories: |
|
- text-classification |
|
language: |
|
- uz |
|
--- |
|
|
|
|
|
## Sentiment Analysis Data for the Uzbek Language |
|
|
|
**Dataset Description:** |
|
This dataset contains a sentiment analysis dataset from Kuriyozov et al. (2019). |
|
|
|
**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{DBLP:conf/ltconf/KuriyozovMAG19, |
|
author = {Elmurod Kuriyozov and |
|
Sanatbek Matlatipov and |
|
Miguel A. Alonso and |
|
Carlos G{\'{o}}mez{-}Rodr{\'{\i}}guez}, |
|
editor = {Zygmunt Vetulani and |
|
Patrick Paroubek and |
|
Marek Kubis}, |
|
title = {Construction and Evaluation of Sentiment Datasets for Low-Resource |
|
Languages: The Case of Uzbek}, |
|
booktitle = {Human Language Technology. Challenges for Computer Science and Linguistics |
|
- 9th Language and Technology Conference, {LTC} 2019, Poznan, Poland, |
|
May 17-19, 2019, Revised Selected Papers}, |
|
series = {Lecture Notes in Computer Science}, |
|
volume = {13212}, |
|
pages = {232--243}, |
|
publisher = {Springer}, |
|
year = {2019}, |
|
url = {https://doi.org/10.1007/978-3-031-05328-3\_15}, |
|
doi = {10.1007/978-3-031-05328-3\_15}, |
|
timestamp = {Thu, 23 Jun 2022 19:58:44 +0200}, |
|
biburl = {https://dblp.org/rec/conf/ltconf/KuriyozovMAG19.bib}, |
|
bibsource = {dblp computer science bibliography, https://dblp.org} |
|
} |
|
``` |