Named Entity Recognition

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Table of Contents Introduction I/O Examples Credits Algorithm Console Introduction This algorithm retrives recognized entities from a body of text using the stanfordNlp library.Currently it identifies named noun type entities such as PERSON, LOCATION, ORGANIZATION, MISC and numerical MONEY, NUMBER, DATA, TIME, DURATION, SET types. note: the previous string version of this algorithm is now deprecated, which means its still functional but no longer documented. I/O Input {
 "document": String
}
 document - (required) an arbitrary length text document. Output {
 "sentences": List[
 {
 "detectedEntities": List[
 {
 "word": String,
 "entity": String
 }
 ]
 }
 ]
}
 sentences - a list of sentences discovered in the input document detectedEntities - a list of detected entities discovered in this particular sentence word - the detected keyword word in the input document that refers to a specific entity entity - the named entity the keyword relates to (ie: PERSON, ORGANIZATION, NUMBER, etc) Examples { 
 "document":"Jim went to Stanford University, Tom went to the University of Washington. They both work for Microsoft."
}
 {
 "sentences": [
 {
 "detectedEntities": [
 {"word": "Jim", "entity": "PERSON"},
 {"word": "Stanford", "entity": "ORGANIZATION"},
 {"word": "University", "entity": "ORGANIZATION"},
 {"word": "Tom", "entity": "PERSON"},
 {"word": "University", "entity": "ORGANIZATION"},
 {"word": "of", "entity": "ORGANIZATION"},
 {"word": "Washington", "entity": "ORGANIZATION"}
 ]
 },
 {
 "detectedEntities": [
 {"word": "Microsoft", "entity": "ORGANIZATION"}
 ]
 }
 ]
}

 Credits For more information, please refer to stanford core-nlp or Manning, Christopher D., Surdeanu, Mihai, Bauer, John, Finkel, Jenny, Bethard, Steven J., and McClosky, David. 2014. The Stanford CoreNLP Natural Language Processing Toolkit. In Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp. 55-60.

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1. Type your input

2. See the result

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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/StanfordNLP/NamedEntityRecognition/0.2.0
View cURL Docs
algo auth
# Enter API Key: YOUR_API_KEY
algo run algo://StanfordNLP/NamedEntityRecognition/0.2.0 -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://StanfordNLP/NamedEntityRecognition/0.2.0")
resp, _ := algo.Pipe(input)
response := resp.(*algorithmia.AlgoResponse)
fmt.Println(response.Result)
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://StanfordNLP/NamedEntityRecognition/0.2.0");
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://StanfordNLP/NamedEntityRecognition/0.2.0")
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://StanfordNLP/NamedEntityRecognition/0.2.0")
           .pipe(input)
           .then(function(output) {
             console.log(output);
           });
View Javascript Docs
var input = {{input | formatInput:"javascript"}};
Algorithmia.client("YOUR_API_KEY")
           .algo("algo://StanfordNLP/NamedEntityRecognition/0.2.0")
           .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('StanfordNLP/NamedEntityRecognition/0.2.0')
print algo.pipe(input)
View Python Docs
library(algorithmia)

input <- {{input | formatInput:"r"}}
client <- getAlgorithmiaClient("YOUR_API_KEY")
algo <- client$algo("StanfordNLP/NamedEntityRecognition/0.2.0")
result <- algo$pipe(input)$result
print(result)
View R Docs
require 'algorithmia'

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('StanfordNLP/NamedEntityRecognition/0.2.0')
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("StanfordNLP/NamedEntityRecognition/0.2.0");
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: "StanfordNLP/NamedEntityRecognition/0.2.0") { resp, error in
  print(resp)
}
View Swift Docs
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