Turkish Movie Reviews for Sentiment Classification

Turkish-language movie reviews for text classification tasks, specifically sentiment classification and scoring. It is monolingual and falls within the 10K to 100K size category. The dataset was created by scoup123 and last updated in May 2022.

Use Cases

• Train a sentiment classifier on Turkish-language text for the sentiment-classification task.
• Perform sentiment scoring analysis on movie reviews using the sentiment-scoring task label.
• Analyze text patterns in a monolingual Turkish corpus for natural language processing research.

Strengths

• The dataset is categorized as containing between 10,000 and 100,000 text entries.
• It is specifically designed for the text-classification task category, focusing on sentiment analysis.

Limitations

• The exact number of rows, columns, and sample data are unknown, limiting preliminary assessment.
• The license is listed as unknown, which may restrict commercial or research usage.
• The dataset's last known update was in May 2022, potentially making it temporally stale for current trends.

Provenance

Source

Original source dataset created by scoup123, hosted on Hugging Face.

Collection Method

Found; specific annotation and language creation methods are not detailed.

Freshness

Last updated 2022-05-21.