{"info":{"_postman_id":"7b01abc4-7031-44c0-a90e-39bd83378616","name":"Explorer","description":"

Overview

Explorer is a REST API that provides resource URLs to access reviews in the project data. Use the API endpoints to accesses data that is correlated for a specific endpoint. Using the API you can test your own examples for use in different applications. Each endpoint shows the proper the request structure and a sample of code with acceptable key value pairs. Use the key value pairs in each of the categories to build filters to improve the search results. A successful request returns a JSON object based on the applied filters.

Authorization

To use the API you will need an access token. To generate a token, use the Authentication API call. The token needs to be in the header of each request. If you are testing the APIs using Postman, add your token to the collection folder so that the same token will be used for every request in the collection. Make sure that the variable is set to Bearer Token. You can override this by specifying a token in the request.

\n
Note: Tokens are case sensitive.
\n

Structure and Use

Each API request key value parameters are sent to the endpoint in the body of the request ans is in JSON format. Each request has a specific set of parameters and key value pairs that are mandatory.

\n
Note: All key:value pairs are case sensitive.
\n

\n\n

The project_uuid is a mandatory field that needs to be in each request. If you are testing the APIs using Postman, add your UUID as an environment variable in the collection folder so that it will be used for every request in the collection.

The lang is a mandatory field that needs to be in each request. If you are testing the APIs using Postman, add your UUID as an environment variable in the collection folder so that it will be used for every request in the collection. Supported languages are:

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

Language	Langujage Code
Spanish (Mexico)	`es_MX`
German (Germany)	`de_DE`
Spanish (Spain)	`es_ES`
French (France)	`fr_FR`
Chinese (Simplified)	`zh_CN`
English (United States	`en_US`
English (Great Brittain)	`en_GB`

The fromDate and toDate are mandatory body parameters to search through your project.

Set or make sure that the content type in the header is application/json.

Body

Each API call uses the body to send the request to the endpoint. The body contains a list of keys:value pairs which act as filters to retrieve the requested data.\nThe following table outlines the key:value pairs that are needed to complete a successful search of the data lake.

Filter Table

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

Key			Value Type / Format	Description
`toDate`	Mandatory		Date format YYYY/MM/DD	The last date in the search range
`fromDate`	Mandatory		Date format YYYY/MM/DD	The start date in the search range
`hierarchies`			Array of Strings	Search through selected Hierarchies. You can find these using the dashboard.
`sources`			Array of Strings	The source of the data being searched for. You can find these using the dashboard.
`groups`			Array of Strings	The group classification of the data. You can find these using the dashboard.
`review_text`			Array of Strings	Search for specific text within the project data
`brands`			Array of objects	. You can find these using the dashboard.
	`name`		String
	`uuid`		String
`entities`			Array of objects
	`name`		String
	`uuid`		String
`star_ratings`			Array of Strings	The star ratings to search for
`topics`			Array of objects
	`name`		String
	`uuid`		String
`mega_topics`			Array of objects
	`name`		String
	`uuid`		String
`text`			Array of Strings	Specific text to search for in the data
`price`			Array of Floating point numbers	The prices to search for in the data
`promotion`			Boolean	Search for promotions in the data
`custom_filters`			Array of objects
	`name`		String
	`data`		Array of objects
		`id`	Integer
		`name`	String	Name to search through the data
`quote_text`			Array of Strings	Specific quotes to search for
`selectedRange`			String
`objectPaging`			List of Objects
	`numberOfRows`		integer	number of rows to return
	`page`		integer	page to return
	`searchText`		String	text to search
	`sort`			list of objects
		`column`		Use the volume, starRating, or post_date as filter criteria
		`order`	`asc` / `desc`	sort by ascending or descending order

In addition to the Filters object, you will need to configure the OnlyUniqueReviews key. This is a Boolean key that will filter based on unique (True) reviews only. When set to False all reviews will be returned.

\n","schema":"https://schema.getpostman.com/json/collection/v2.0.0/collection.json","toc":[],"owner":"12145274","collectionId":"7b01abc4-7031-44c0-a90e-39bd83378616","publishedId":"Tzz8tczL","public":true,"customColor":{"top-bar":"FFFFFF","right-sidebar":"303030","highlight":"EF5B25"},"publishDate":"2021-08-17T10:09:09.000Z"},"item":[{"name":"Star rating","item":[{"name":"Monthly Star rating","id":"19b39c98-4a71-40b6-9674-4e4f1adc53ac","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":""}]},"isInherited":false},"method":"POST","header":[{"description":"

(Required)

\n","key":"project_uuid","value":""},{"key":"Content-Type","value":"application/json"}],"body":{"mode":"raw","raw":"{\n \"filters\": {\n \"hierarchies\": [],\n \"sources\": [],\n \"star_ratings\": [],\n \"brands\": [],\n \"entities\": [],\n \"topics\": [],\n \"mega_topics\": [],\n \"review_text\": [],\n \"groups\": [],\n \"fromDate\": \"2015-01-01\",\n \"toDate\": \"2021-05-31\",\n \"selectedRange\": \"First Review\",\n \"price\": [],\n \"promotion\": null,\n \"custom_filters\": [],\n \"quote_text\": []\n },\n \"onlyUniqueReviews\": false\n}"},"url":"https://explorer-api.revuze.it/api/analytics/statistics/star_rating/:timeUnit","description":"

Search for reviews in the project data that are correlated based on the Monthly Star Rating. Use the filter parameters to narrow your search results. For a detailed explanation of the filter parameters, see the Filter Table.

Response

A successful API response will include a response code and an array of JSON objects with the requested data based on the applied filters in the request. The format of each JSON object is:

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

Key	Value Description
`date`	the start date of the month of the review
`end_date`	the end date of the month of the review
`stars`	the average star rating for the object
`volume`

","urlObject":{"protocol":"https","path":["api","analytics","statistics","star_rating",":timeUnit"],"host":["explorer-api","revuze","it"],"query":[],"variable":[{"id":"002ba3f8-e485-45a6-a0d2-6b6c4ca29d7a","description":{"content":"

(Required)

\n","type":"text/plain"},"type":"any","value":"month","key":"timeUnit"}]}},"response":[{"id":"5e970fcf-e4d6-4a65-93da-5cf6ac14c530","name":"Success","originalRequest":{"method":"POST","header":[{"description":"(Required) ","key":"project_uuid","value":""},{"key":"Content-Type","name":"Content-Type","value":"application/json","type":"text"},{"key":"Authorization","value":"Bearer ","type":"text"}],"body":{"mode":"raw","raw":"{\n \"filters\": {\n \"hierarchies\": [],\n \"sources\": [],\n \"star_ratings\": [],\n \"brands\": [],\n \"entities\": [],\n \"topics\": [],\n \"mega_topics\": [],\n \"review_text\": [],\n \"groups\": [],\n \"fromDate\": \"2015-01-01\",\n \"toDate\": \"2021-05-31\",\n \"selectedRange\": \"First Review\",\n \"price\": [],\n \"promotion\": null,\n \"custom_filters\": [],\n \"quote_text\": []\n },\n \"onlyUniqueReviews\": true\n}","options":{"raw":{"language":"json"}}},"url":"https://explorer-api.revuze.it/api/analytics/statistics/star_rating/month"},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Date","value":"Tue, 01 Jun 2021 12:57:31 GMT"},{"key":"Content-Type","value":"application/json; charset=utf-8"},{"key":"Server","value":"Kestrel"},{"key":"Transfer-Encoding","value":"chunked"}],"cookie":[],"responseTime":null,"body":"[\n {\n \"date\": \"2015-01-01T00:00:00\",\n \"end_date\": \"2015-01-31T23:59:59.999\",\n \"stars\": 3.9825581395348837,\n \"volume\": 516\n },\n {\n \"date\": \"2015-02-01T00:00:00\",\n \"end_date\": \"2015-02-28T23:59:59.999\",\n \"stars\": 4.0316573556797017,\n \"volume\": 537\n },\n {\n \"date\": \"2015-03-01T00:00:00\",\n \"end_date\": \"2015-03-31T23:59:59.999\",\n \"stars\": 3.9421052631578948,\n \"volume\": 570\n },\n {\n \"date\": \"2015-04-01T00:00:00\",\n \"end_date\": \"2015-04-30T23:59:59.999\",\n \"stars\": 3.9265033407572383,\n \"volume\": 449\n },\n {\n \"date\": \"2015-05-01T00:00:00\",\n \"end_date\": \"2015-05-31T23:59:59.999\",\n \"stars\": 3.9763440860215056,\n \"volume\": 465\n },\n {\n \"date\": \"2015-06-01T00:00:00\",\n \"end_date\": \"2015-06-30T23:59:59.999\",\n \"stars\": 3.8659003831417627,\n \"volume\": 522\n },\n {\n \"date\": \"2015-07-01T00:00:00\",\n \"end_date\": \"2015-07-31T23:59:59.999\",\n \"stars\": 3.8146341463414632,\n \"volume\": 615\n },\n {\n \"date\": \"2015-08-01T00:00:00\",\n \"end_date\": \"2015-08-31T23:59:59.999\",\n \"stars\": 3.9086614173228345,\n \"volume\": 635\n },\n {\n \"date\": \"2015-09-01T00:00:00\",\n \"end_date\": \"2015-09-30T23:59:59.999\",\n \"stars\": 3.8353765323992994,\n \"volume\": 571\n },\n {\n \"date\": \"2015-10-01T00:00:00\",\n \"end_date\": \"2015-10-31T23:59:59.999\",\n \"stars\": 3.9530516431924885,\n \"volume\": 639\n },\n {\n \"date\": \"2015-11-01T00:00:00\",\n \"end_date\": \"2015-11-30T23:59:59.999\",\n \"stars\": 3.9350073855243721,\n \"volume\": 677\n },\n {\n \"date\": \"2015-12-01T00:00:00\",\n \"end_date\": \"2015-12-31T23:59:59.999\",\n \"stars\": 3.7808219178082192,\n \"volume\": 584\n },\n {\n \"date\": \"2016-01-01T00:00:00\",\n \"end_date\": \"2016-01-31T23:59:59.999\",\n \"stars\": 3.8329145728643215,\n \"volume\": 796\n },\n {\n \"date\": \"2016-02-01T00:00:00\",\n \"end_date\": \"2016-02-29T23:59:59.999\",\n \"stars\": 3.937956204379562,\n \"volume\": 822\n },\n {\n \"date\": \"2016-03-01T00:00:00\",\n \"end_date\": \"2016-03-31T23:59:59.999\",\n \"stars\": 3.9214123006833712,\n \"volume\": 878\n },\n {\n \"date\": \"2016-04-01T00:00:00\",\n \"end_date\": \"2016-04-30T23:59:59.999\",\n \"stars\": 3.8127786032689452,\n \"volume\": 673\n },\n {\n \"date\": \"2016-05-01T00:00:00\",\n \"end_date\": \"2016-05-31T23:59:59.999\",\n \"stars\": 3.8894878706199463,\n \"volume\": 742\n },\n {\n \"date\": \"2016-06-01T00:00:00\",\n \"end_date\": \"2016-06-30T23:59:59.999\",\n \"stars\": 3.9251101321585904,\n \"volume\": 681\n },\n {\n \"date\": \"2016-07-01T00:00:00\",\n \"end_date\": \"2016-07-31T23:59:59.999\",\n \"stars\": 3.9316129032258065,\n \"volume\": 775\n },\n {\n \"date\": \"2016-08-01T00:00:00\",\n \"end_date\": \"2016-08-31T23:59:59.999\",\n \"stars\": 3.8895558223289317,\n \"volume\": 833\n },\n {\n \"date\": \"2016-09-01T00:00:00\",\n \"end_date\": \"2016-09-30T23:59:59.999\",\n \"stars\": 3.9076549210206561,\n \"volume\": 823\n },\n {\n \"date\": \"2016-10-01T00:00:00\",\n \"end_date\": \"2016-10-31T23:59:59.999\",\n \"stars\": 3.8790035587188614,\n \"volume\": 843\n },\n {\n \"date\": \"2016-11-01T00:00:00\",\n \"end_date\": \"2016-11-30T23:59:59.999\",\n \"stars\": 3.84052757793765,\n \"volume\": 834\n },\n {\n \"date\": \"2016-12-01T00:00:00\",\n \"end_date\": \"2016-12-31T23:59:59.999\",\n \"stars\": 3.8811438784629133,\n \"volume\": 1119\n },\n {\n \"date\": \"2017-01-01T00:00:00\",\n \"end_date\": \"2017-01-31T23:59:59.999\",\n \"stars\": 3.9330677290836653,\n \"volume\": 1255\n },\n {\n \"date\": \"2017-02-01T00:00:00\",\n \"end_date\": \"2017-02-28T23:59:59.999\",\n \"stars\": 3.7969052224371374,\n \"volume\": 1034\n },\n {\n \"date\": \"2017-03-01T00:00:00\",\n \"end_date\": \"2017-03-31T23:59:59.999\",\n \"stars\": 3.7625531914893617,\n \"volume\": 1175\n },\n {\n \"date\": \"2017-04-01T00:00:00\",\n \"end_date\": \"2017-04-30T23:59:59.999\",\n \"stars\": 3.716417910447761,\n \"volume\": 938\n },\n {\n \"date\": \"2017-05-01T00:00:00\",\n \"end_date\": \"2017-05-31T23:59:59.999\",\n \"stars\": 3.7207586933614332,\n \"volume\": 949\n },\n {\n \"date\": \"2017-06-01T00:00:00\",\n \"end_date\": \"2017-06-30T23:59:59.999\",\n \"stars\": 3.734375,\n \"volume\": 896\n },\n {\n \"date\": \"2017-07-01T00:00:00\",\n \"end_date\": \"2017-07-31T23:59:59.999\",\n \"stars\": 3.798175598631699,\n \"volume\": 877\n },\n {\n \"date\": \"2017-08-01T00:00:00\",\n \"end_date\": \"2017-08-31T23:59:59.999\",\n \"stars\": 3.7642998027613412,\n \"volume\": 1014\n },\n {\n \"date\": \"2017-09-01T00:00:00\",\n \"end_date\": \"2017-09-30T23:59:59.999\",\n \"stars\": 3.749703440094899,\n \"volume\": 843\n },\n {\n \"date\": \"2017-10-01T00:00:00\",\n \"end_date\": \"2017-10-31T23:59:59.999\",\n \"stars\": 3.7697756788665879,\n \"volume\": 847\n },\n {\n \"date\": \"2017-11-01T00:00:00\",\n \"end_date\": \"2017-11-30T23:59:59.999\",\n \"stars\": 3.6016260162601625,\n \"volume\": 861\n },\n {\n \"date\": \"2017-12-01T00:00:00\",\n \"end_date\": \"2017-12-31T23:59:59.999\",\n \"stars\": 3.5842450765864333,\n \"volume\": 914\n },\n {\n \"date\": \"2018-01-01T00:00:00\",\n \"end_date\": \"2018-01-31T23:59:59.999\",\n \"stars\": 3.7318663406682968,\n \"volume\": 1227\n },\n {\n \"date\": \"2018-02-01T00:00:00\",\n \"end_date\": \"2018-02-28T23:59:59.999\",\n \"stars\": 3.7054924242424243,\n \"volume\": 1056\n },\n {\n \"date\": \"2018-03-01T00:00:00\",\n \"end_date\": \"2018-03-31T23:59:59.999\",\n \"stars\": 3.8845193508114857,\n \"volume\": 1602\n },\n {\n \"date\": \"2018-04-01T00:00:00\",\n \"end_date\": \"2018-04-30T23:59:59.999\",\n \"stars\": 3.8464135021097046,\n \"volume\": 1185\n },\n {\n \"date\": \"2018-05-01T00:00:00\",\n \"end_date\": \"2018-05-31T23:59:59.999\",\n \"stars\": 3.661814109742441,\n \"volume\": 893\n },\n {\n \"date\": \"2018-06-01T00:00:00\",\n \"end_date\": \"2018-06-30T23:59:59.999\",\n \"stars\": 3.7118834080717487,\n \"volume\": 892\n },\n {\n \"date\": \"2018-07-01T00:00:00\",\n \"end_date\": \"2018-07-31T23:59:59.999\",\n \"stars\": 3.7761904761904761,\n \"volume\": 840\n },\n {\n \"date\": \"2018-08-01T00:00:00\",\n \"end_date\": \"2018-08-31T23:59:59.999\",\n \"stars\": 3.7505995203836933,\n \"volume\": 834\n },\n {\n \"date\": \"2018-09-01T00:00:00\",\n \"end_date\": \"2018-09-30T23:59:59.999\",\n \"stars\": 3.6732223903177004,\n \"volume\": 661\n },\n {\n \"date\": \"2018-10-01T00:00:00\",\n \"end_date\": \"2018-10-31T23:59:59.999\",\n \"stars\": 3.7385257301808066,\n \"volume\": 719\n },\n {\n \"date\": \"2018-11-01T00:00:00\",\n \"end_date\": \"2018-11-30T23:59:59.999\",\n \"stars\": 3.6742934051144012,\n \"volume\": 743\n },\n {\n \"date\": \"2018-12-01T00:00:00\",\n \"end_date\": \"2018-12-31T23:59:59.999\",\n \"stars\": 3.8569937369519831,\n \"volume\": 958\n },\n {\n \"date\": \"2019-01-01T00:00:00\",\n \"end_date\": \"2019-01-31T23:59:59.999\",\n \"stars\": 3.9573742540494456,\n \"volume\": 1173\n },\n {\n \"date\": \"2019-02-01T00:00:00\",\n \"end_date\": \"2019-02-28T23:59:59.999\",\n \"stars\": 3.7809633027522938,\n \"volume\": 872\n },\n {\n \"date\": \"2019-03-01T00:00:00\",\n \"end_date\": \"2019-03-31T23:59:59.999\",\n \"stars\": 3.7974238875878221,\n \"volume\": 854\n },\n {\n \"date\": \"2019-04-01T00:00:00\",\n \"end_date\": \"2019-04-30T23:59:59.999\",\n \"stars\": 3.881241565452092,\n \"volume\": 741\n },\n {\n \"date\": \"2019-05-01T00:00:00\",\n \"end_date\": \"2019-05-31T23:59:59.999\",\n \"stars\": 3.9094594594594594,\n \"volume\": 740\n },\n {\n \"date\": \"2019-06-01T00:00:00\",\n \"end_date\": \"2019-06-30T23:59:59.999\",\n \"stars\": 3.9987639060568605,\n \"volume\": 809\n },\n {\n \"date\": \"2019-07-01T00:00:00\",\n \"end_date\": \"2019-07-31T23:59:59.999\",\n \"stars\": 3.9744952178533475,\n \"volume\": 941\n },\n {\n \"date\": \"2019-08-01T00:00:00\",\n \"end_date\": \"2019-08-31T23:59:59.999\",\n \"stars\": 3.8913294797687863,\n \"volume\": 865\n },\n {\n \"date\": \"2019-09-01T00:00:00\",\n \"end_date\": \"2019-09-30T23:59:59.999\",\n \"stars\": 3.8060686015831133,\n \"volume\": 758\n },\n {\n \"date\": \"2019-10-01T00:00:00\",\n \"end_date\": \"2019-10-31T23:59:59.999\",\n \"stars\": 3.8577348066298343,\n \"volume\": 724\n },\n {\n \"date\": \"2019-11-01T00:00:00\",\n \"end_date\": \"2019-11-30T23:59:59.999\",\n \"stars\": 3.8585987261146495,\n \"volume\": 785\n },\n {\n \"date\": \"2019-12-01T00:00:00\",\n \"end_date\": \"2019-12-31T23:59:59.999\",\n \"stars\": 3.947126436781609,\n \"volume\": 1305\n },\n {\n \"date\": \"2020-01-01T00:00:00\",\n \"end_date\": \"2020-01-31T23:59:59.999\",\n \"stars\": 4.0378301213418988,\n \"volume\": 1401\n },\n {\n \"date\": \"2020-02-01T00:00:00\",\n \"end_date\": \"2020-02-29T23:59:59.999\",\n \"stars\": 3.8925233644859811,\n \"volume\": 1070\n },\n {\n \"date\": \"2020-03-01T00:00:00\",\n \"end_date\": \"2020-03-31T23:59:59.999\",\n \"stars\": 3.7826603325415675,\n \"volume\": 842\n },\n {\n \"date\": \"2020-04-01T00:00:00\",\n \"end_date\": \"2020-04-30T23:59:59.999\",\n \"stars\": 3.5226209048361934,\n \"volume\": 641\n },\n {\n \"date\": \"2020-05-01T00:00:00\",\n \"end_date\": \"2020-05-31T23:59:59.999\",\n \"stars\": 3.5546218487394956,\n \"volume\": 833\n },\n {\n \"date\": \"2020-06-01T00:00:00\",\n \"end_date\": \"2020-06-30T23:59:59.999\",\n \"stars\": 3.5421115065243178,\n \"volume\": 843\n },\n {\n \"date\": \"2020-07-01T00:00:00\",\n \"end_date\": \"2020-07-31T23:59:59.999\",\n \"stars\": 3.6508795669824088,\n \"volume\": 739\n },\n {\n \"date\": \"2020-08-01T00:00:00\",\n \"end_date\": \"2020-08-31T23:59:59.999\",\n \"stars\": 3.75669099756691,\n \"volume\": 822\n },\n {\n \"date\": \"2020-09-01T00:00:00\",\n \"end_date\": \"2020-09-30T23:59:59.999\",\n \"stars\": 3.8738366080661839,\n \"volume\": 967\n },\n {\n \"date\": \"2020-10-01T00:00:00\",\n \"end_date\": \"2020-10-31T23:59:59.999\",\n \"stars\": 3.689403166869671,\n \"volume\": 821\n },\n {\n \"date\": \"2020-11-01T00:00:00\",\n \"end_date\": \"2020-11-30T23:59:59.999\",\n \"stars\": 3.8031674208144794,\n \"volume\": 1326\n },\n {\n \"date\": \"2020-12-01T00:00:00\",\n \"end_date\": \"2020-12-31T23:59:59.999\",\n \"stars\": 3.7721943048576216,\n \"volume\": 1194\n },\n {\n \"date\": \"2021-01-01T00:00:00\",\n \"end_date\": \"2021-01-31T23:59:59.999\",\n \"stars\": 4.3902513795217661,\n \"volume\": 3262\n },\n {\n \"date\": \"2021-02-01T00:00:00\",\n \"end_date\": \"2021-02-28T23:59:59.999\",\n \"stars\": 4.6785714285714288,\n \"volume\": 28\n },\n {\n \"date\": \"2021-03-01T00:00:00\",\n \"end_date\": \"2021-03-31T23:59:59.999\",\n \"stars\": 0,\n \"volume\": 0\n },\n {\n \"date\": \"2021-04-01T00:00:00\",\n \"end_date\": \"2021-04-30T23:59:59.999\",\n \"stars\": 0,\n \"volume\": 0\n },\n {\n \"date\": \"2021-05-01T00:00:00\",\n \"end_date\": \"2021-05-31T23:59:59.999\",\n \"stars\": 0,\n \"volume\": 0\n }\n]"}],"_postman_id":"19b39c98-4a71-40b6-9674-4e4f1adc53ac"},{"name":"Star Rating Deviation","id":"e0101db8-5450-4468-a305-6ed079ad27a0","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":""}]},"isInherited":false},"method":"POST","header":[{"description":"

(Required)

Search for reviews in the project data that are correlated based on the Star Rating Deviation. This is the number of times the specified search criteria are in a particular star rating. Use the filter parameters to narrow your search results. For a detailed explanation of the filter parameters, see the Filter Table.

Response

A successful API response will include a response code and a JSON object with nested JSON objects with the requested data based on the applied filters in the request. The format of each JSON object is:

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

Key		Value Description
`data`		the parent JSON object that contains the embedded objects with the data
	`star`	the star rating
	`volume`
	`avg`	the average number of times there was a review with that star rating

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The Star Rating set of API endpoints provides access to correlated data in the data lake. Each endpoint provides a specific set of correlations based on the Star Rating.

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charset=utf-8"},{"key":"Server","value":"Kestrel"},{"key":"Content-Length","value":"655"}],"cookie":[],"responseTime":null,"body":"{\n \"innerCode\": 0,\n \"data\": [\n {\n \"post_date\": \"2019-09-01T00:00:00\",\n \"name\": \"test\",\n \"sentiment\": 79.77760770719848,\n \"volume\": 11590,\n \"star_rating\": 4.571699741156169,\n \"sentimentTrend\": null,\n \"volumeTrend\": null\n },\n {\n \"post_date\": \"2019-09-01T00:00:00\",\n \"name\": \"test 2 with some name\",\n \"sentiment\": 73.65824782951856,\n \"volume\": 2637,\n \"star_rating\": 4.342813803564657,\n \"sentimentTrend\": null,\n \"volumeTrend\": null\n },\n {\n \"post_date\": \"2019-12-31T20:39:00\",\n \"name\": \"batel_swottest\",\n \"sentiment\": 61.53846153846154,\n \"volume\": 15,\n \"star_rating\": 4.2,\n \"sentimentTrend\": null,\n \"volumeTrend\": null\n }\n ],\n \"audit\": null,\n \"exception\": null,\n \"transactionId\": null,\n \"total\": 3,\n \"actualTotalRecords\": 0,\n \"rows\": 10,\n \"page\": 1,\n \"totalPages\": 1\n}"}],"_postman_id":"ff7ab4f5-4633-4a7e-bb92-19b446786cbc"}],"id":"ae48219c-eecb-4823-9e64-f68b33dd55ff","_postman_id":"ae48219c-eecb-4823-9e64-f68b33dd55ff","description":"","auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":""}]},"isInherited":true,"source":{"_postman_id":"7b01abc4-7031-44c0-a90e-39bd83378616","id":"7b01abc4-7031-44c0-a90e-39bd83378616","name":"Explorer","type":"collection"}}},{"name":"Topics","id":"ecac302f-429c-4d76-88a5-cb2d7e3fa95a","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":""}]},"isInherited":false},"method":"POST","header":[{"description":"

(Required)

\n","key":"lang","value":""},{"description":"

(Required)

Search for reviews in the data lake correlated based on the Topics parameter. Use the filter parameters to narrow your search results. For a detailed explanation of the filter parameters, see the Filter Table.

Response

A successful API response will include a response code and an array of JSON objects with the requested data based on the applied filters in the request. The format of each JSON object is:

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

Key		Value Description
`data`		the parent JSON object that contains the embedded objects with the data
	`name`	name of the requested topic
	`volume`	number of times the topic is used
	`sentiment`	opinion rating between 0 and 100
	`negative`	number of negative opinions
	`positive`	number of positive opinions
	`neutral'	number of neutral opinions
	`uuid`	project ID
	`sentiment_trend`
	`volume_trend`
	`quotes`
	`star_rating`	average star rating based on the topic
	`mega_topics`	the number of mega topics available

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\"data\": [\n {\n \"name\": \"Overall satisfaction\",\n \"volume\": 25649,\n \"sentiment\": 93.47310662511855,\n \"negative\": 1927,\n \"positive\": 27597,\n \"neutral\": 312,\n \"uuid\": \"77c35f50-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": -0.46275079989334245,\n \"volume_trend\": -120,\n \"quotes\": 29836,\n \"star_rating\": 4.690319310694374,\n \"mega_topics\": null\n },\n {\n \"name\": \"Performance\",\n \"volume\": 20534,\n \"sentiment\": 83.06638115631692,\n \"negative\": 3954,\n \"positive\": 19396,\n \"neutral\": 1243,\n \"uuid\": \"77614229-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": -1.902599903446088,\n \"volume_trend\": -56,\n \"quotes\": 24593,\n \"star_rating\": 4.489675659881173,\n \"mega_topics\": null\n },\n {\n \"name\": \"Results\",\n \"volume\": 14930,\n \"sentiment\": 84.55452775073027,\n \"negative\": 2538,\n \"positive\": 13894,\n \"neutral\": 848,\n \"uuid\": \"77357733-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 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\"uuid\": \"77d364e0-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 3.4126984126984325,\n \"volume_trend\": -50,\n \"quotes\": 9925,\n \"star_rating\": 4.563428571428571,\n \"mega_topics\": null\n },\n {\n \"name\": \"User experience\",\n \"volume\": 8100,\n \"sentiment\": 87.57666867107636,\n \"negative\": 1033,\n \"positive\": 7282,\n \"neutral\": 600,\n \"uuid\": \"778a7501-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 0.4049060460728242,\n \"volume_trend\": -35.5,\n \"quotes\": 8915,\n \"star_rating\": 4.5828395061728395,\n \"mega_topics\": null\n },\n {\n \"name\": \"Speed\",\n \"volume\": 7000,\n \"sentiment\": 83.23798627002287,\n \"negative\": 1172,\n \"positive\": 5820,\n \"neutral\": 719,\n \"uuid\": \"76683c21-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": -1.485985824742329,\n \"volume_trend\": -31.5,\n \"quotes\": 7711,\n \"star_rating\": 4.609714285714285,\n \"mega_topics\": null\n },\n {\n \"name\": \"Temperature\",\n \"volume\": 6237,\n \"sentiment\": 53.33538745955939,\n \"negative\": 3029,\n \"positive\": 3462,\n \"neutral\": 627,\n \"uuid\": \"771d5b52-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": -5.846441947565523,\n \"volume_trend\": -16.5,\n \"quotes\": 7118,\n \"star_rating\": 4.008337341670675,\n \"mega_topics\": null\n },\n {\n \"name\": \"Price/Value for money\",\n \"volume\": 5929,\n \"sentiment\": 75.81483230987246,\n \"negative\": 1536,\n \"positive\": 4815,\n \"neutral\": 238,\n \"uuid\": \"774d44f1-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 2.1980643402399096,\n \"volume_trend\": -10.5,\n \"quotes\": 6589,\n \"star_rating\": 4.138471917692697,\n \"mega_topics\": null\n },\n {\n \"name\": \"Is it recommended?\",\n \"volume\": 4346,\n \"sentiment\": 77.7676120768527,\n \"negative\": 972,\n \"positive\": 3400,\n \"neutral\": 130,\n \"uuid\": \"77e05d32-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": -1.1967418546366275,\n \"volume_trend\": -10.5,\n \"quotes\": 4502,\n \"star_rating\": 4.266221813161528,\n \"mega_topics\": null\n },\n {\n \"name\": \"Plates\",\n \"volume\": 3425,\n \"sentiment\": 48.41130848136102,\n \"negative\": 2062,\n \"positive\": 1935,\n \"neutral\": 495,\n \"uuid\": \"77f014a9-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 3.6475409836065467,\n \"volume_trend\": -10.5,\n \"quotes\": 4492,\n \"star_rating\": 3.9036496350364964,\n \"mega_topics\": null\n },\n {\n \"name\": \"Capacity\",\n \"volume\": 4118,\n \"sentiment\": 79.08666320705761,\n \"negative\": 806,\n \"positive\": 3048,\n \"neutral\": 586,\n \"uuid\": \"77160852-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 3.951536268609459,\n \"volume_trend\": -8.5,\n \"quotes\": 4440,\n \"star_rating\": 4.5891209324915,\n \"mega_topics\": null\n },\n {\n \"name\": \"Meets expectations\",\n \"volume\": 4208,\n \"sentiment\": 71.95329603502798,\n \"negative\": 1153,\n \"positive\": 2958,\n \"neutral\": 320,\n \"uuid\": \"76a210d1-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 3.733008723879067,\n \"volume_trend\": -20.5,\n \"quotes\": 4431,\n \"star_rating\": 4.211501901140684,\n \"mega_topics\": null\n },\n {\n \"name\": \"Non Stick Application\",\n \"volume\": 3854,\n \"sentiment\": 71.25506072874494,\n \"negative\": 1136,\n \"positive\": 2816,\n \"neutral\": 353,\n \"uuid\": \"770ba814-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": -5.740740740740762,\n \"volume_trend\": -3.5,\n \"quotes\": 4305,\n \"star_rating\": 4.378827192527244,\n \"mega_topics\": null\n },\n {\n \"name\": \"Storage\",\n \"volume\": 3607,\n \"sentiment\": 90.94672922991995,\n \"negative\": 328,\n \"positive\": 3295,\n \"neutral\": 125,\n \"uuid\": \"780d3992-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": -2.5555555555555998,\n \"volume_trend\": -19,\n \"quotes\": 3748,\n \"star_rating\": 4.717771000831716,\n \"mega_topics\": null\n },\n {\n \"name\": \"Design\",\n \"volume\": 3140,\n \"sentiment\": 80.85106382978722,\n \"negative\": 612,\n \"positive\": 2584,\n \"neutral\": 123,\n \"uuid\": \"76e645c3-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": -0.9943181818182154,\n \"volume_trend\": -16.5,\n \"quotes\": 3319,\n \"star_rating\": 4.312420382165605,\n \"mega_topics\": null\n },\n {\n \"name\": \"Gift purposes\",\n \"volume\": 2871,\n \"sentiment\": 93.37088388214904,\n \"negative\": 153,\n \"positive\": 2155,\n \"neutral\": 698,\n \"uuid\": \"77f7dcd2-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 2.4853801169590497,\n \"volume_trend\": -11,\n \"quotes\": 3006,\n \"star_rating\": 4.549982584465343,\n \"mega_topics\": null\n },\n {\n \"name\": \"Quality\",\n \"volume\": 2679,\n \"sentiment\": 53.97548161120841,\n \"negative\": 1314,\n \"positive\": 1541,\n \"neutral\": 75,\n \"uuid\": \"76a65691-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 0.20859407592826074,\n \"volume_trend\": -3,\n \"quotes\": 2930,\n \"star_rating\": 3.473684210526316,\n \"mega_topics\": null\n },\n {\n \"name\": \"Time/Frequency of use\",\n \"volume\": 2670,\n \"sentiment\": 89.92248062015504,\n \"negative\": 208,\n \"positive\": 1856,\n \"neutral\": 659,\n \"uuid\": \"76a237e1-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": -1.4227642276422898,\n \"volume_trend\": -8,\n \"quotes\": 2723,\n \"star_rating\": 4.5651685393258425,\n \"mega_topics\": null\n },\n {\n \"name\": \"Durability\",\n \"volume\": 2443,\n \"sentiment\": 29.22895357985838,\n \"negative\": 1799,\n \"positive\": 743,\n \"neutral\": 134,\n \"uuid\": \"770a4880-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 1.973684210526315,\n \"volume_trend\": -4,\n \"quotes\": 2676,\n \"star_rating\": 3.058125255832992,\n \"mega_topics\": null\n },\n {\n \"name\": \"Lights\",\n \"volume\": 2016,\n \"sentiment\": 48.231884057971016,\n \"negative\": 893,\n \"positive\": 832,\n \"neutral\": 606,\n \"uuid\": \"7808ccc1-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": -1.0174418604651407,\n \"volume_trend\": -7.5,\n \"quotes\": 2331,\n \"star_rating\": 4.076884920634921,\n \"mega_topics\": null\n },\n {\n \"name\": \"Timer\",\n \"volume\": 1928,\n \"sentiment\": 47.37945492662474,\n \"negative\": 1004,\n \"positive\": 904,\n \"neutral\": 291,\n \"uuid\": \"779f83a4-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": -13.294117647058812,\n \"volume_trend\": 0,\n \"quotes\": 2199,\n \"star_rating\": 4.33298755186722,\n \"mega_topics\": null\n },\n {\n \"name\": \"Returning customer\",\n \"volume\": 2107,\n \"sentiment\": 69.78957915831663,\n \"negative\": 603,\n \"positive\": 1393,\n \"neutral\": 196,\n \"uuid\": \"779152d0-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 6.453804347826065,\n \"volume_trend\": -9,\n \"quotes\": 2192,\n \"star_rating\": 4.028001898433792,\n \"mega_topics\": null\n },\n {\n \"name\": \"Settings\",\n \"volume\": 1917,\n \"sentiment\": 62.19042377545404,\n \"negative\": 687,\n \"positive\": 1130,\n \"neutral\": 345,\n \"uuid\": \"75fecbf0-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": -7.35887096774195,\n \"volume_trend\": -8,\n \"quotes\": 2162,\n \"star_rating\": 4.204486176317162,\n \"mega_topics\": null\n },\n {\n \"name\": \"Product Defect\",\n \"volume\": 1970,\n \"sentiment\": 11.545893719806763,\n \"negative\": 1831,\n \"positive\": 239,\n \"neutral\": 75,\n \"uuid\": \"77a63a68-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 3.6871270247229333,\n \"volume_trend\": -3,\n \"quotes\": 2145,\n \"star_rating\": 2.363959390862944,\n \"mega_topics\": null\n },\n {\n \"name\": \"Return & refund\",\n \"volume\": 1959,\n \"sentiment\": 13.634085213032582,\n \"negative\": 1723,\n \"positive\": 272,\n \"neutral\": 125,\n \"uuid\": \"7686c0a0-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 0.8749999999999964,\n \"volume_trend\": -11,\n \"quotes\": 2120,\n \"star_rating\": 2.017355793772333,\n \"mega_topics\": null\n },\n {\n \"name\": \"Waffle Maker Accessories\",\n \"volume\": 1921,\n \"sentiment\": 65.5645981688708,\n \"negative\": 677,\n \"positive\": 1289,\n \"neutral\": 135,\n \"uuid\": \"774c81a5-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": -1.086956521739154,\n \"volume_trend\": -5,\n \"quotes\": 2101,\n \"star_rating\": 4.3284747527329515,\n \"mega_topics\": null\n },\n {\n \"name\": \"Instructions\",\n \"volume\": 1743,\n \"sentiment\": 64.61107217939734,\n \"negative\": 505,\n \"positive\": 922,\n \"neutral\": 514,\n \"uuid\": \"77b862d0-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 13.235294117647072,\n \"volume_trend\": -5.5,\n \"quotes\": 1941,\n \"star_rating\": 4.185886402753873,\n \"mega_topics\": null\n },\n {\n \"name\": \"Customer Wishlist\",\n \"volume\": 1738,\n \"sentiment\": 15.153267784846733,\n \"negative\": 1467,\n \"positive\": 262,\n \"neutral\": 71,\n \"uuid\": \"7801a0d2-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": -0.23496240601502905,\n \"volume_trend\": -18,\n \"quotes\": 1800,\n \"star_rating\": 4.184119677790564,\n \"mega_topics\": null\n },\n {\n \"name\": \"Life Span\",\n \"volume\": 1575,\n \"sentiment\": 36.828806064434616,\n \"negative\": 1000,\n \"positive\": 583,\n \"neutral\": 108,\n \"uuid\": \"76f75cc3-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 10.110294117647072,\n \"volume_trend\": -9,\n \"quotes\": 1691,\n \"star_rating\": 2.973333333333333,\n \"mega_topics\": null\n },\n {\n \"name\": \"Recipe Booklet\",\n \"volume\": 1311,\n \"sentiment\": 87.86078098471987,\n \"negative\": 143,\n \"positive\": 1035,\n \"neutral\": 208,\n \"uuid\": \"77f014a8-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 7.352941176470608,\n \"volume_trend\": -7.5,\n \"quotes\": 1386,\n \"star_rating\": 4.64607170099161,\n \"mega_topics\": null\n },\n {\n \"name\": \"Shipping\",\n \"volume\": 1306,\n \"sentiment\": 59.79703356752537,\n \"negative\": 515,\n \"positive\": 766,\n \"neutral\": 93,\n \"uuid\": \"77eb80c1-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 2.6785714285714164,\n \"volume_trend\": -4.5,\n \"quotes\": 1374,\n \"star_rating\": 3.5911179173047474,\n \"mega_topics\": null\n },\n {\n \"name\": \"Sound & Volume\",\n \"volume\": 1153,\n \"sentiment\": 49.260226283724975,\n \"negative\": 583,\n \"positive\": 566,\n \"neutral\": 117,\n \"uuid\": \"7816fd96-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 4.423076923076934,\n \"volume_trend\": -2.5,\n \"quotes\": 1266,\n \"star_rating\": 4.1986123156981785,\n \"mega_topics\": null\n },\n {\n \"name\": \"Handle\",\n \"volume\": 1070,\n \"sentiment\": 17.828054298642535,\n \"negative\": 908,\n \"positive\": 197,\n \"neutral\": 125,\n \"uuid\": \"76a80441-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 1.9480519480519405,\n \"volume_trend\": -1,\n \"quotes\": 1230,\n \"star_rating\": 3.0654205607476634,\n \"mega_topics\": null\n },\n {\n \"name\": \"Versatility\",\n \"volume\": 1036,\n \"sentiment\": 80.6695464362851,\n \"negative\": 179,\n \"positive\": 747,\n \"neutral\": 139,\n \"uuid\": \"7748b112-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": -3.1764705882352757,\n \"volume_trend\": -6.5,\n \"quotes\": 1065,\n \"star_rating\": 4.571428571428571,\n \"mega_topics\": null\n },\n {\n \"name\": \"Lid\",\n \"volume\": 890,\n \"sentiment\": 22.965879265091864,\n \"negative\": 587,\n \"positive\": 175,\n \"neutral\": 282,\n \"uuid\": \"772d39d0-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": -7.79220779220779,\n \"volume_trend\": 2.5,\n \"quotes\": 1044,\n \"star_rating\": 3.452808988764045,\n \"mega_topics\": null\n },\n {\n \"name\": \"Safety\",\n \"volume\": 713,\n \"sentiment\": 15.503875968992247,\n \"negative\": 654,\n \"positive\": 120,\n \"neutral\": 37,\n \"uuid\": \"763f7e72-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": -3.296703296703299,\n \"volume_trend\": -0.5,\n \"quotes\": 811,\n \"star_rating\": 2.967741935483871,\n \"mega_topics\": null\n },\n {\n \"name\": \"Portability\",\n \"volume\": 577,\n \"sentiment\": 92.09558823529412,\n \"negative\": 43,\n \"positive\": 501,\n \"neutral\": 53,\n \"uuid\": \"77a74bd1-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": -9.375,\n \"volume_trend\": -3.5,\n \"quotes\": 597,\n \"star_rating\": 4.722703639514731,\n \"mega_topics\": null\n },\n {\n \"name\": \"Weight\",\n \"volume\": 522,\n \"sentiment\": 65.36964980544747,\n \"negative\": 178,\n \"positive\": 336,\n \"neutral\": 36,\n \"uuid\": \"77bccfa1-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 4.464285714285722,\n \"volume_trend\": -3,\n \"quotes\": 550,\n \"star_rating\": 4.030651340996169,\n \"mega_topics\": null\n },\n {\n \"name\": \"Online shopping\",\n \"volume\": 513,\n \"sentiment\": 63.191489361702125,\n \"negative\": 173,\n \"positive\": 297,\n \"neutral\": 76,\n \"uuid\": \"77bf1990-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": -19.047619047619037,\n \"volume_trend\": 1,\n \"quotes\": 546,\n \"star_rating\": 3.7270955165692006,\n \"mega_topics\": null\n },\n {\n \"name\": \"Loyalty\",\n \"volume\": 509,\n \"sentiment\": 79.05982905982906,\n \"negative\": 98,\n \"positive\": 370,\n \"neutral\": 51,\n \"uuid\": \"76ef4671-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": -5,\n \"volume_trend\": -1.5,\n \"quotes\": 519,\n \"star_rating\": 4.155206286836935,\n \"mega_topics\": null\n },\n {\n \"name\": \"Smell\",\n \"volume\": 368,\n \"sentiment\": 22.07792207792208,\n \"negative\": 360,\n \"positive\": 102,\n \"neutral\": 16,\n \"uuid\": \"77143390-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 4.166666666666666,\n \"volume_trend\": 4,\n \"quotes\": 478,\n \"star_rating\": 3.092391304347826,\n \"mega_topics\": null\n },\n {\n \"name\": \"Packaging\",\n \"volume\": 423,\n \"sentiment\": 50.87281795511222,\n \"negative\": 197,\n \"positive\": 204,\n \"neutral\": 60,\n \"uuid\": \"772b6513-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 20.833333333333343,\n \"volume_trend\": -3,\n \"quotes\": 461,\n \"star_rating\": 3.2884160756501184,\n \"mega_topics\": null\n },\n {\n \"name\": \"Power cord\",\n \"volume\": 368,\n \"sentiment\": 35.13513513513514,\n \"negative\": 264,\n \"positive\": 143,\n \"neutral\": 28,\n \"uuid\": \"76f40161-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 6.666666666666671,\n \"volume_trend\": -3,\n \"quotes\": 435,\n \"star_rating\": 4.008152173913044,\n \"mega_topics\": null\n },\n {\n \"name\": \"Item availability\",\n \"volume\": 396,\n \"sentiment\": 46.15384615384615,\n \"negative\": 203,\n \"positive\": 174,\n \"neutral\": 26,\n \"uuid\": \"7812dee2-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 40.90909090909091,\n \"volume_trend\": -5.5,\n \"quotes\": 403,\n \"star_rating\": 4.318181818181818,\n \"mega_topics\": null\n },\n {\n \"name\": \"Customer service\",\n \"volume\": 340,\n \"sentiment\": 43.50453172205438,\n \"negative\": 187,\n \"positive\": 144,\n \"neutral\": 57,\n \"uuid\": \"7713be61-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 22.85714285714286,\n \"volume_trend\": -3.5,\n \"quotes\": 388,\n \"star_rating\": 2.8529411764705883,\n \"mega_topics\": null\n },\n {\n \"name\": \"Stability\",\n \"volume\": 360,\n \"sentiment\": 21.301775147928996,\n \"negative\": 266,\n \"positive\": 72,\n \"neutral\": 34,\n \"uuid\": \"76a80440-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 0,\n \"volume_trend\": -3,\n \"quotes\": 372,\n \"star_rating\": 3.2333333333333334,\n \"mega_topics\": null\n },\n {\n \"name\": \"Assembly & Installation\",\n \"volume\": 213,\n \"sentiment\": 62.17616580310881,\n \"negative\": 73,\n \"positive\": 120,\n \"neutral\": 21,\n \"uuid\": \"76f42871-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": -8.333333333333343,\n \"volume_trend\": -0.5,\n \"quotes\": 214,\n \"star_rating\": 3.9530516431924885,\n \"mega_topics\": null\n },\n {\n \"name\": \"Warranty\",\n \"volume\": 167,\n \"sentiment\": 34.93150684931507,\n \"negative\": 95,\n \"positive\": 51,\n \"neutral\": 37,\n \"uuid\": \"769bf650-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": 50,\n \"volume_trend\": -0.5,\n \"quotes\": 183,\n \"star_rating\": 2.682634730538922,\n \"mega_topics\": null\n },\n {\n \"name\": \"Manufacturing country\",\n \"volume\": 79,\n \"sentiment\": 25.37313432835821,\n \"negative\": 50,\n \"positive\": 17,\n \"neutral\": 23,\n \"uuid\": \"7778e8d8-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": null,\n \"volume_trend\": 0.5,\n \"quotes\": 90,\n \"star_rating\": 2.9873417721518987,\n \"mega_topics\": null\n },\n {\n \"name\": \"Replacement Parts\",\n \"volume\": 88,\n \"sentiment\": 35.526315789473685,\n \"negative\": 49,\n \"positive\": 27,\n \"neutral\": 12,\n \"uuid\": \"76c6d6e0-c3cf-11e9-b164-c3925ec7a797\",\n \"sentiment_trend\": -100,\n \"volume_trend\": -0.5,\n \"quotes\": 88,\n \"star_rating\": 3.0113636363636362,\n \"mega_topics\": null\n }\n ],\n \"audit\": null,\n \"exception\": null,\n \"transactionId\": null\n}"}],"_postman_id":"ecac302f-429c-4d76-88a5-cb2d7e3fa95a"},{"name":"Word Cloud","id":"606cafa7-785a-44c9-b979-71f2e467c534","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":""}]},"isInherited":false},"method":"POST","header":[{"description":"

(Required)

Search for reviews in the data lake correlated based on a Word Cloud. Word Clouds are a collection, or cluster, with a rating based on how often it’s mentioned within a given text. This determines how important the word is. The more often a word, or words are mentioned, the higher the rating. Use the filter parameters to narrow your search results. For a detailed explanation of the filter parameters, see the Filter Table.

Response

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

Key		Value Description
`data`		the parent JSON object that contains the embedded objects with the data
	`word`	a word to build the word cloud with
	`volume`
	`sentiment`	opinion rating between 0 and 100

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