Amazon Review Feature Analysis

No algorithm description given

Given a list of competing products (on Amazon) and relevant features, this algorithm will perform feature-specific sentiment analysis on each product and each feature. This is useful to 1) understand what consumers like/dislike about your product and your competitors, 2) identify market opportunities through pain-points, and 3) estimate the "shadow price" of each unit on the willingness to pay of your customers. >> Blog post with demo coming soon. Input, object with two properties: products: array of objects where each object represents a product with a name (string) and url (string) attributes features: array of features to be examined Output: array of objects, with each object having a name (string), url (string), and features (object). A Feature object has a name (string), sentences (string), scores (double), avg_score (double).

Tags
(no tags)

Cost Breakdown

0 cr
royalty per call
1 cr
usage per second
avg duration
This algorithm has permission to call other algorithms which may incur separate royalty and usage costs.

Cost Calculator

API call duration (sec)
×
API calls
=
Estimated cost
per calls
for large volume discounts
For additional details on how pricing works, see Algorithmia pricing.

Internet access

This algorithm has Internet access. This is necessary for algorithms that rely on external services, however it also implies that this algorithm is able to send your input data outside of the Algorithmia platform.


Calls other algorithms

This algorithm has permission to call other algorithms. This allows an algorithm to compose sophisticated functionality using other algorithms as building blocks, however it also carries the potential of incurring additional royalty and usage costs from any algorithm that it calls.


To understand more about how algorithm permissions work, see the permissions documentation.

1. Type your input

2. See the result

Running algorithm...

3. Use this algorithm

curl -X POST -d '{{input | formatInput:"curl"}}' -H 'Content-Type: application/json' -H 'Authorization: Simple YOUR_API_KEY' https://api.algorithmia.com/v1/algo/ANaimi/AmazonReviewFeatureAnalysis/0.1.2
View cURL Docs
algo auth
# Enter API Key: YOUR_API_KEY
algo run algo://ANaimi/AmazonReviewFeatureAnalysis/0.1.2 -d '{{input | formatInput:"cli"}}'
View CLI Docs
import com.algorithmia.*;
import com.algorithmia.algo.*;

String input = "{{input | formatInput:"java"}}";
AlgorithmiaClient client = Algorithmia.client("YOUR_API_KEY");
Algorithm algo = client.algo("algo://ANaimi/AmazonReviewFeatureAnalysis/0.1.2");
AlgoResponse result = algo.pipeJson(input);
System.out.println(result.asJsonString());
View Java Docs
import com.algorithmia._
import com.algorithmia.algo._

val input = {{input | formatInput:"scala"}}
val client = Algorithmia.client("YOUR_API_KEY")
val algo = client.algo("algo://ANaimi/AmazonReviewFeatureAnalysis/0.1.2")
val result = algo.pipeJson(input)
System.out.println(result.asJsonString)
View Scala Docs
var input = {{input | formatInput:"javascript"}};
Algorithmia.client("YOUR_API_KEY")
           .algo("algo://ANaimi/AmazonReviewFeatureAnalysis/0.1.2")
           .pipe(input)
           .then(function(output) {
             console.log(output);
           });
View Javascript Docs
var input = {{input | formatInput:"javascript"}};
Algorithmia.client("YOUR_API_KEY")
           .algo("algo://ANaimi/AmazonReviewFeatureAnalysis/0.1.2")
           .pipe(input)
           .then(function(response) {
             console.log(response.get());
           });
View NodeJS Docs
import Algorithmia

input = {{input | formatInput:"python"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('ANaimi/AmazonReviewFeatureAnalysis/0.1.2')
print algo.pipe(input)
View Python Docs
library(algorithmia)

input <- {{input | formatInput:"r"}}
client <- getAlgorithmiaClient("YOUR_API_KEY")
algo <- client$algo("ANaimi/AmazonReviewFeatureAnalysis/0.1.2")
result <- algo$pipe(input)$result
print(result)
View R Docs
require 'algorithmia'

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('ANaimi/AmazonReviewFeatureAnalysis/0.1.2')
puts algo.pipe(input).result
View Ruby Docs
use algorithmia::*;

let input = {{input | formatInput:"rust"}};
let client = Algorithmia::client("YOUR_API_KEY");
let algo = client.algo('ANaimi/AmazonReviewFeatureAnalysis/0.1.2');
let response = algo.pipe(input);
View Rust Docs
Discussion
  • {{comment.username}}