Tagged Product Reviews For Sentiment Analysis

A 2021 dataset of product reviews tagged for sentiment analysis, created by Remesita and hosted on Hugging Face. The dataset is designed for text classification tasks, as indicated by its platform tags. It contains user reviews with associated sentiment or category labels.

Use Cases

• Train a sentiment classifier using the review text and its associated sentiment tag.
• Fine-tune a pre-trained language model for text classification on the labeled review data.
• Analyze patterns in product review language correlated with different sentiment labels.
• Benchmark the performance of different NLP models on a review classification task.

Strengths

• Dataset is explicitly tagged for core NLP tasks like sentiment analysis and text classification.
• Hosted on a major platform (Hugging Face) ensuring accessibility and standard integration.

Limitations

• Unknown dataset size, row count, and specific label distribution, making it difficult to assess scope.
• Last updated in May 2021, so the data may not reflect current language or product trends.

Provenance

Source

Hugging Face dataset uploaded by author Remesita.

Collection Method

Inferred to be collected and tagged product reviews; specific methodology is unknown.

Time Range

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Freshness

Last updated in 2021.

Geography

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