Turkish Reviews Categorized into Five Topics

Turkishreviews 5 Topic contains Turkish-language text reviews pre-labeled into five distinct thematic categories. The dataset was created by author cansen88 and uploaded to Hugging Face, with its last recorded update in August 2022. Platform tags indicate it contains between 10,000 and 100,000 text entries.

Use Cases

• Train a BERT-based model to classify review text into its pre-assigned topic label.
• Analyze sentiment polarity within each of the five distinct review topic categories.
• Benchmark the performance of different tokenizers on Turkish text for topic classification tasks.
• Fine-tune a multilingual transformer model for specific downstream applications in Turkish e-commerce or service analysis.

Strengths

• Dataset size is indicated to be between 10,000 and 100,000 rows based on platform tags.
• Provides pre-labeled topics for Turkish text, a resource for a less common language in NLP.

Limitations

• Exact row count, column names, and review sources are unknown.
• Data is from 2022 or earlier and may not reflect current language use or trends.
• Potential class imbalance or bias is unverified due to lack of sample data.

Provenance

Source

Uploaded to Hugging Face by cansen88.

Collection Method

Collection method for the Turkish reviews is unspecified.

Freshness

Last updated in August 2022; no update frequency specified.

Geography

Primarily Turkey, inferred from the language.