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license: apache-2.0
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."
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