---
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 |