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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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