Hotel Sentiment Analysis Dataset from Booking.com
Booking asks guests what they liked and what they did not, and stores the two answers apart - so the sentiment is labelled before any model sees it. Ninety written reviews of one London hotel with positives, negatives, score, language and traveller type: a training or evaluation set for aspect-level sentiment, no annotation needed. Cost: 90 review rows at $0.005 = at most $0.45 a run.
Input
Output fields
Sign up on Apify01
Create your Apify account to access the Booking.com Reviews Scraper — Hotel Guest Reviews & Ratings.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
