Hotel Sentiment Analysis Dataset from Trip.com
Two hundred and fifty written reviews of one Shinjuku hotel with four sub-scores each - location, cleanliness, service, amenities - plus travel type and room type: an aspect-level sentiment set with labels already on the row, so which room and which guest type produces the low scores is a filter, not a model. Each row language-tagged. Cost: 250 review rows at $0.004 = at most $1.00 a run.
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Output fields
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The Trip.com Reviews Scraper — Ctrip Hotel Guest Reviews & Ratings Actor is ready to run with the inputs already set for "Hotel Sentiment Analysis Dataset from Trip.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 Trip.com Reviews Scraper — Ctrip Hotel Guest Reviews & Ratings Actor will start running based on the input automatically. You can also change all the input fields, like trip.com hotel ids, max reviews per hotel, and more, to match your specific use case.
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