Text Similarity

No algorithm description given

This algorithm will compare documents (can be any kind of document) and report which documents are the most similar. Some examples this algorithm could be used for: Plagiarism detection (natural language, programming source, etc.) Removal of similar copies within some directory Analysis and clustering of documents. Example Input: {
 "files": [
 ["doc1", "this is an example input"],
 ["doc2", "this is another example input"],
 ["doc3", "the third document is not like the others"]
} Output: [
 [0.6825611979794738, "doc1", "doc2"],
 [0.1303428532021814, "doc2", "doc3"],
 [0.05714684431258296, "doc1", "doc3"]
] Input argument type description

files [[String, String]] list of document id's and document content
num_results Int (optional) number of results, default = 100 (less if less document pairs can be computed) Output [[Float, String, String]]: Similarity value, document id 1, document id 2.

(no tags)

Cost Breakdown

20 cr
royalty per call
1 cr
usage per second
avg duration

Cost Calculator

API call duration (sec)
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For additional details on how pricing works, see Algorithmia pricing.

No permissions required

This algorithm does not require any special permissions.

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/PetiteProgrammer/TextSimilarity/0.1.2
View cURL Docs
algo auth
algo run algo://PetiteProgrammer/TextSimilarity/0.1.2 -d '{{input | formatInput:"cli"}}'
View CLI Docs
import (
  algorithmia "github.com/algorithmiaio/algorithmia-go"

input := {{input | formatInput:"go"}}

var client = algorithmia.NewClient("YOUR_API_KEY", "")
algo, _ := client.Algo("algo://PetiteProgrammer/TextSimilarity/0.1.2")
resp, _ := algo.Pipe(input)
response := resp.(*algorithmia.AlgoResponse)
View Go 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://PetiteProgrammer/TextSimilarity/0.1.2");
AlgoResponse result = algo.pipeJson(input);
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://PetiteProgrammer/TextSimilarity/0.1.2")
val result = algo.pipeJson(input)
View Scala Docs
var input = {{input | formatInput:"javascript"}};
           .then(function(output) {
View Javascript Docs
var input = {{input | formatInput:"javascript"}};
           .then(function(response) {
View NodeJS Docs
import Algorithmia

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

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

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('PetiteProgrammer/TextSimilarity/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("PetiteProgrammer/TextSimilarity/0.1.2");
let response = algo.pipe(input);
View Rust Docs
import Algorithmia

let input = "{{input | formatInput:"swift"}}";
let client = Algorithmia.client(simpleKey: "YOUR_API_KEY")
let algo = client.algo(algoUri: "PetiteProgrammer/TextSimilarity/0.1.2") { resp, error in
View Swift Docs
  • {{comment.username}}