The Semantic Analysis for Apartment Reviews API is a tool that allows users to analyze and extract insights from apartment reviews. It uses natural language processing and machine learning techniques to understand the sentiment and meaning behind written reviews and provides a range of features for analyzing and summarizing this data.
This API can be used by apartment complex managers and owners to understand better what tenants like and dislike about their properties and identify areas for improvement. It can also be used by researchers or journalists to quickly and easily analyze large volumes of reviews and extract insights.
The API will receive a text that is intended to be a review of an apartment. The API will analyze the content and will extract the semantics and sentiments of the text. It will determine if the review is positive or negative, among other things.
Apartment complex managers and owners can use the API to get a better understanding of tenant feedback and identify areas for improvement. For example, if a high number of negative reviews mention the same issue (such as noisy neighbors or a lack of parking), the complex can address this issue to improve tenant satisfaction.
Researchers or journalists can use the API to quickly and easily analyze large volumes of apartment reviews and extract insights. This can be useful for studying trends in the rental market or for creating reports on the quality of different apartment complexes.
Marketing agencies or consulting firms can use the API to help their clients understand the sentiment and content of their reviews, and identify areas for improvement.
Real estate agents or brokers can use the API to analyze reviews of properties they are selling or renting, and use this information to market the properties more effectively.
Consumer advocacy groups or government agencies can use the API to monitor and report on the quality of rental properties in a given area.
The only limitation is the number of API calls you can make per month that support each plan.
Pass the text that you want to analyze and receive the extracted intents and its score.
Object | Description |
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text |
[Required] Text to analyze. |
{"Example Response":"No response example available for now."}
curl --location --request POST 'https://zylalabs.com/api/866/semantic+analysis+for+apartment+reviews+api/646/semantic+analysis?text=We got this apartment because of its cheap price and near to the centre. The bedroom was a little bit small and the bed was not that comfortable. There was a lot of lovely decorations and it was nice. There was very fast wifi, which was great. However there was no parking spaces in front of the house so we spend some time sechrching for a place. Also the neigherhood was full of drunken people, probably it was because the house was not that far from downtown and beach and there was a lot of homeless people Will not come back.' --header 'Authorization: Bearer YOUR_API_KEY'
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Semantic Analysis for Apartment Reviews API REST API, simply include your bearer token in the Authorization header.
Header | Description |
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Authorization
|
[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
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Prices are based on a recurring monthly subscription depending on the plan selected — plus overage fees applied when a developer exceeds a plan’s quota limits. In this example, you'll see the base plan amount as well as a quota limit of API requests. Be sure to notice the overage fee because you will be charged for each additional request.
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