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---
language:
- it
task_categories:
- text-classification
---
# Dataset: sentiment_analysis-IT-dataset
## Dataset Description
Our data has been collected by annotating tweets on Italian language from a broad range of topics. In total, we have 2037 tweets annotated with an emotion label. More details can be found in our paper (https://aclanthology.org/2021.wassa-1.8/).
### Languages
The BCP-47 code for the dataset's language is it.
## Dataset Structure
### Data Instances
@inproceedings{bianchi2021feel,
title = {{"Sentiment Classification for the Italian Language"}},
author = "Bianchi, Federico and Nozza, Debora and Hovy, Dirk",
booktitle = "Proceedings of the 11th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis",
year = "2021",
publisher = "Association for Computational Linguistics",
}
### Dataset Fields
The dataset has the following fields (also called "features"):
```json
{
"text": "Value(dtype='string', id=None)",
"feat_id_noticia": "Value(dtype='int16', id=None)",
"feat_target": "Value(dtype='string', id=None)",
"target": "ClassLabel(names=['NEG', 'NEU', 'POS'], id=None)"
}
```
### Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow:
| Split name | Num samples |
| ------------ | ------------------- |
| train | 1096 |
| valid | 275 | |