Sentimemt

​Identifying sentiment expressed in text whether they’re negative, neutral, or positive.

Group
Negative
Neutral
Positive

Identifying sentiment expressed in text

POST https://apis.aigen.online/ainlp/sentiment/v1

Request Body

Name	Type	Description
text*	String

200: OK Successful response

{
  "group_count": 1,
  "group_detail": [
    {
      "group_name": "Positive",
      "rank": 1,
      "score": 0.82
    }
  ],
  "status": "success"
}

400: Bad Request

{
  "status": "fail"
}

​Example code

Python

import requests
import json

api = "https://apis.aigen.online/ainlp/sentiment/v1"
headers = {"x-aigen-key": "<key>", "content-type": "application/json"}
data = json.dumps({"text": "ai สามารถช่วยแก้ปัญหาต่าง ๆ ได้"})

res = requests.post(api, data=data, headers=headers)
print(res.json())

Nodejs

const axios = require("axios");

const api = "https://apis.aigen.online/ainlp/sentiment/v1";
const headers = {
  "x-aigen-key": "<key>",
};
const data = { text: "ai สามารถช่วยแก้ปัญหาต่าง ๆ ได้" };

axios
  .post(api, data, { headers: headers })
  .then((res) => {
    console.log(res.data);
  })
  .catch((err) => {
    console.error(err.response.data);
  });