Rating for sub-properties using latent topics
نویسنده
چکیده
Tripadvisor is a travel website which provides user generated reviews for travel-related content. I used the Tripadvisor dataset available here here. The dataset has a total of 1621956 reviews about 12,773 hotels with an average of 126 reviews for each hotel. Hotel’s information provided includes its name, location, price etc. A review for a hotel includes the author’s location, date, rating and review text. The rating aspect of Tripadvisor dataset is particularly interesting as it provides ratings for other aspects/sub-properties of the hotel in addition to the overall rating. This information is helpful for a customer to take an informed decision about his choice based on his specific preferences. From the number of ratings per month, we can see that there are particular months during which people take vacation the region from Aug-December. It is consistent with the general knowledge that people take vacation during holidays. This trend is observed during all the years from 2003 to 2012 from 2. It can also be seen that the number of people using/rating places on Tripadvisor increased almost exponentially over the years.
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