Text Sentiment allow you to predict the sentiment of text either data is POSITIVE , NEGATIVE , NEUTRAL. You can use this
result to predict user reviews and many other task on you server side.
Currently we only support these languages by default
Arabic , English , French , Hindi , Spanish , German , italian , Portuguese
import requestsurl =$BASE_URL/ml/text-sentimentstoken ='your_bearer_token_here'headers = {'Authorization': f'Bearer {token}'}data = { "text": 'i like the oyyi website and apis.'};response = requests.post(url,params=data, headers=headers)print(response.text)
Javascript
constaxios=require('axios');consturl= $BASE_URL/ml/text-sentiments;consttoken='your_bearer_token_here';constdata= { text: 'i like the oyyi website and apis'};constconfig= { headers: {'Authorization': `Bearer ${token}`,'Content-Type': 'application/json' }};axios.post(url, data, config) .then(response=> console.log(response.data)) .catch(error=> console.error(error));
Dart
import'dart:io';import'package:http/http.dart'as http;voidmain() async {final url =Uri.parse('$BASE_URL/ml/text-sentiments');final data ={ "text":'i like the oyyi website and apis'};final response =await http.post(Uri.parse(url), headers: {'Content-Type':'application/json'}, body:jsonEncode(data), );}
Laravel
useIlluminate\Http\Client\Response;useIlluminate\Support\Facades\Http;$url ='$BASE_URL/ml/text-sentiments';$token ='your_bearer_token_here';$data = ["text"=>'i like the oyyi website and apis'];$response =Http::withHeaders(['Authorization'=>'Bearer '. $token,])->post($url,$data);if ($response->successful()) { $data = $response->json();} else {m $message = $response->json()['message']m;}
Curl
curl-XPOST\-H{'Authorization: Bearer your_bearer_token_here','Content-type: application/json'}\-d{"text":'i like the oyyi website and apis'}\ $BASE_URL/ml/text-sentiments
