metadata
license: apache-2.0
task_categories:
- sentiment-analysis
tags:
- sentiment
- italian
- news headlines
size_categories:
- n<1K
Dataset Description:
General Description: >-
This dataset consists of Italian news headlines with annotated sentiments.
Each headline is enclosed in square brackets followed by the sentiment label
'positive', 'neutral', or 'negative'.
Purpose: >-
The dataset is designed for training and evaluating sentiment analysis
models on Italian-language text, particularly news headlines.
Dataset Structure:
Size and Scope: >-
The dataset contains a small number of annotated headlines, suitable for
initial model training or testing in sentiment analysis tasks.
Data Fields: Each record includes a 'headline' text field and a 'sentiment' label.
Example:
- headline: '[ mi fa sbagliare tutte le paroleeeee.]'
sentiment: negative
- headline: '[ perfetto hai visto poi alla fine anche oggi e passato..]'
sentiment: neutral
- headline: >-
[Rutelli: appoggio al governo #monti, sta lavorando bene #ballarò
#osservatoriotivvù]
sentiment: positive
Use Cases:
Sentiment Analysis Model Training: >-
Researchers and practitioners can use this dataset to develop and train
sentiment analysis models for the Italian language.
Academic Research: >-
The dataset can serve as a basis for studies in computational linguistics
focusing on sentiment analysis in Italian news media.