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