Download our curated datasets to get started with sentiment analysis. Each dataset is carefully crafted to represent different domains and sentiment classification approaches.
Comprehensive restaurant reviews dataset with binary sentiment classification (positive/negative). Perfect for getting started with sentiment analysis.
| Review | Sentiment |
|---|---|
| "Great food and service!" | Positive |
| "Poor quality food." | Negative |
Hotel-specific reviews with three-way sentiment classification (positive/neutral/negative). Ideal for hospitality industry analysis.
| Review | Sentiment |
|---|---|
| "Beautiful room with view!" | Positive |
| "Room was okay." | Neutral |
| "Poor service." | Negative |
Movie-specific reviews with three-way sentiment classification for comprehensive entertainment industry analysis.
| Review | Sentiment |
|---|---|
| "Amazing acting!" | Positive |
| "Decent movie." | Neutral |
| "Terrible plot." | Negative |
Technology product reviews with three-way sentiment classification for detailed tech industry analysis.
| Review | Sentiment |
|---|---|
| "Great performance!" | Positive |
| "Average product." | Neutral |
| "Poor quality." | Negative |