# Code Samples

Use the code samples below to integrate your applications with the API.

## Node

### Submit JSON data for sentiment analysis

This example uses the [Axios HTTP client](https://axios-http.com/).

The following example demonstrates how to submit a JSON transcript for sentiment analysis using the Axios HTTP client.

To use this example, set the `<REVAI_ACCESS_TOKEN>` placeholder to your Rev AI account's access token.


```javascript
const axios = require('axios');
const token = '<REVAI_ACCESS_TOKEN>';

// create a client
const http = axios.create({
  baseURL: 'https://api.rev.ai/sentiment_analysis/v1/',
  headers: {
    'Authorization': `Bearer ${token}`,
    'Content-Type': 'application/json'
  }
});

// submit a POST request
const submitSentimentAnalysisJobJson = async (jsonData) => {
  return await http.post(`jobs`,
    JSON.stringify({
      json: jsonData
    }))
    .then(response => response.data)
    .catch(console.error);
};
```

### Submit plaintext data for sentiment analysis

This example uses the [Axios HTTP client](https://axios-http.com/).

The following example demonstrates how to submit a plaintext transcript for sentiment analysis using the Axios HTTP client.

To use this example, set the `<REVAI_ACCESS_TOKEN>` placeholder to your Rev AI account's access token.


```javascript
const axios = require('axios');
const token = '<REVAI_ACCESS_TOKEN>';

// create a client
const http = axios.create({
  baseURL: 'https://api.rev.ai/sentiment_analysis/v1/',
  headers: {
    'Authorization': `Bearer ${token}`,
    'Content-Type': 'application/json'
  }
});

// submit a POST request
const submitSentimentAnalysisJobText = async (textData) => {
  return await http.post(`jobs`,
    JSON.stringify({
      text: textData
    }))
    .then(response => response.data)
    .catch(console.error);
};
```

### Check the status of a sentiment analysis job

This example uses the [Axios HTTP client](https://axios-http.com/).

The following example demonstrates how to retrieve the status of a sentiment analysis job using the Axios HTTP client.

To use this example, set the `<REVAI_ACCESS_TOKEN>` placeholder to your Rev AI account's access token.


```javascript
const axios = require('axios');
const token = '<REVAI_ACCESS_TOKEN>';

// create a client
const http = axios.create({
  baseURL: 'https://api.rev.ai/sentiment_analysis/v1/',
  headers: {
    'Authorization': `Bearer ${token}`,
    'Content-Type': 'application/json'
  }
});

// submit a GET request
const getSentimentAnalysisJobStatus = async (jobId) => {
  return await http.get(`jobs/${jobId}`)
    .then(response => response.data)
    .catch(console.error);
};
```

### Retrieve a sentiment analysis report

This example uses the [Axios HTTP client](https://axios-http.com/).

The following example demonstrates how to retrieve the result of a sentiment analysis job using the Axios HTTP client.

To use this example, set the `<REVAI_ACCESS_TOKEN>` placeholder to your Rev AI account's access token.


```javascript
const axios = require('axios');
const token = '<REVAI_ACCESS_TOKEN>';

// create a client
const http = axios.create({
  baseURL: 'https://api.rev.ai/sentiment_analysis/v1/',
  headers: {
    'Authorization': `Bearer ${token}`,
    'Content-Type': 'application/json'
  }
});

// submit a GET request
const getSentimentAnalysisJobResult = async (jobId) => {
  return await http.get(`jobs/${jobId}/result`,
    { headers: { 'Accept': 'application/vnd.rev.sentiment.v1.0+json' } })
    .then(response => response.data)
    .catch(console.error);
};
```