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.
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Output fields
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The Booking.com Reviews Scraper — Hotel Reviews, Guest Reviews Actor is ready to run with the inputs already set for "Hotel Sentiment Analysis Dataset from Booking.com". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
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The Booking.com Reviews Scraper — Hotel Reviews, Guest Reviews Actor will start running based on the input automatically. You can also change all the input fields, like hotel names, max reviews per hotel, and more, to match your specific use case.
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