Graph Data

No algorithm description given

Graph Data Graph data for easier understanding the sentiment. This API provides efficient reading experience. Description This API returns the Graph data after transferring the background analysis data . You can get News Volume, Date, Sentiment and News Buzz by inputting Score ID and Format. The data is powered by  FinSentS  published by  InfoTrieFinancial Solutions Input: scoreId ( required ) :- will be con cat of class type and id. Output: News Volume: the absolute number of news articles covering the stock. Date. Sentiment. News Buzz: a numeric measure of the change in coverage volume for the stock. Example {"scoreId":"sc_55bdc00abccb951f74000007"} Output {
 "volume": 2983,
 "date": "20-04-2016",
 "sentiment": "5.812",
 "buzz": "5.057"
 },


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Cost Breakdown

100 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.

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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/infotrie/Graph_Data/0.2.0
View cURL Docs
algo auth
# Enter API Key: YOUR_API_KEY
algo run algo://infotrie/Graph_Data/0.2.0 -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://infotrie/Graph_Data/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://infotrie/Graph_Data/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://infotrie/Graph_Data/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://infotrie/Graph_Data/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('infotrie/Graph_Data/0.2.0')
print algo.pipe(input)
View Python Docs
library(algorithmia)

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

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('infotrie/Graph_Data/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('infotrie/Graph_Data/0.2.0');
let response = algo.pipe(input);
View Rust Docs
Discussion
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