Sentiment Analyzer for Hotel Reviews API

API ID 316

With over 149 semantic dedicated models, this API is ideal for those Hostel, Hotels, and B&B owners that want to keep track of the reviews they receive.

100% uptime 1,482 ms avg response

API Documentation

Endpoints

Request

This endpoint returns all results in one output: general sentiment, aspects, categories, semantic analysis, and a semantic summary. 

Endpoint ID: 257
POST https://zylalabs.com/api/316/sentiment+analyzer+for+hotel+reviews+api/257/run+analysis
INPUT PARAMETERS

Run Analysis — Endpoint Features

Object Description
text Required The review text you want to analyze
title Optional The title of your review. Optional.

Free test requests remaining: 3 of 3.


INPUT PARAMETERS

text
title
API EXAMPLE RESPONSE
JSON
{"general_sentiment":2,"categories":{"0":{"name":"hotel","count":1,"sentiment_score":2}},"aspects":{"0":{"name":"opinion","count":1,"sentiment_score":2}},"semantic_analysis":{"0":{"id_semantic_model":226,"name_semantic_model":"overall_good_satisfied","description":"The customer was satisfied in general, good overall, nice stay, good experience, good place, enjoyable experience, everything we needed, met my expectations, hotel was great","id_opposite_semantic_model":228,"category":"hotel","aspect":"opinion","feature":"overall good, satisfied","polarity":2,"segment":"Excellent Choice"}},"semantic_summary":{"0":"The customer was satisfied in general"}}
Run Analysis — CODE SNIPPETS

curl --location --request POST 'https://zylalabs.com/api/316/sentiment+analyzer+for+hotel+reviews+api/257/run+analysis?text=Everything was great during our stay. We ordered a queen size room on the second floor. The room that we stayed in was clean and spacious. It has everything in the room that we need, also well equipped kitchen, coffee maker and so on. Bathroom was clean, lots of space and clean towels. wifi was free and works fine. room was very clean and cleaned on daily basis. Breakfast was a little bit small, but very tasty. Also, the spa was included, thats great. The activities that the hotel proposed were also great. It was also close to the beach, also not far from the restaurants and shopping. Hotel was also nice and renovated, staff desk was very friendly and helpful. Overall this place was excellent and exceeded my expectations. Recommend this place to everyone, we will definitely come back.&title=Excellent Choice' --header 'Authorization: Bearer YOUR_API_KEY' 


    

API Access Key & Authentication

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 Sentiment Analyzer for Hotel Reviews API simply include your bearer token in the Authorization header.

Headers
Header Description
Authorization Required Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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Overview

About the API:

This API has the ability to detect more than 149 semantic models dedicated to hostels, hotels, and B&Bs. This is the most complete API for review analysis. 

 

What this API receives and what your API provides (input/output)?

This API will receive the review that your client gives, and it will deliver all the semantic models that are recognized and if they are good or bad reviews.

 

What are the most common uses cases of this API?

Monitor your reviews: Be able to detect if your customers are pleased or not with their stay. Recognize what is the best for them and what is the worst. 

Create reports based on segments: Start creating your own reports and start measuring what are the things that your customers enjoy the most in your place, and what they think could be improved. 

Have a better approach to your customers: After you have detected what your users like from your place, you could create content that highlights those addons or experiences that you know you offer like no one else. 

 

Are there any limitations to your plans?

Besides the number of API calls per month:

  • All Plans: Rate Limit one request per second.

Sentiment Analyzer for Hotel Reviews API FAQs

The Run Analysis endpoint returns a comprehensive output that includes general sentiment, categories, aspects, semantic analysis, and a semantic summary of the hotel review provided.

The key fields in the response include "general_sentiment," "categories," "aspects," "semantic_analysis," and "semantic_summary," each providing insights into different dimensions of the review.

The response data is structured in a JSON format, with each key representing a specific aspect of the analysis. For example, "general_sentiment" indicates overall sentiment, while "aspects" details specific elements mentioned in the review.

The endpoint provides insights into customer sentiment, identifies key categories and aspects of the review, and offers a semantic summary, helping users understand customer feedback comprehensively.

Users can customize their requests by providing specific hotel review text to the Run Analysis endpoint, allowing for tailored sentiment analysis based on individual customer feedback.

The API utilizes a collection of over 149 semantic models specifically designed for the hospitality industry, ensuring that the analysis is relevant and accurate for hotel reviews.

Data accuracy is maintained through the use of specialized semantic models that are continuously refined based on industry trends and user feedback, ensuring reliable sentiment analysis.

Typical use cases include monitoring customer satisfaction, generating detailed reports on guest preferences, and enhancing marketing strategies by highlighting positive aspects of the hotel experience.

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