> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://developers.deepgram.com/docs/sentiment-analysis/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://developers.deepgram.com/_mcp/server.

# Sentiment Analysis

Deepgram API Playground

Try this feature out in our API Playground.

\


`sentiment` *boolean*   Default: `false`

Pre-recorded  Streaming:Nova  English (all available regions)

Deepgram's Sentiment Analysis feature recognizes the sentiment of the entire transcript and detects shifts in sentiment throughout the transcript.

A `sentiment` of `positive`, `negative`, or `neutral` along with a `sentiment_score` is identified for each segment of the transcript, and an `average` of the entire transcript's sentiment is also provided along with the average `sentiment_score`.

This sentiment feature produces sentiment analysis at every level of transcription requested, so you'll get sentiment values for every word, sentence, utterance, and paragraph, in addition to the top-level sentiment for the entire transcription.

> **Info**
>
> The break point for a `sentiment_score` becoming positive or negative is `+-0.333333333...`.

## Enable Feature

To enable Sentiment, use the following parameter in the query string when you call Deepgram’s `/listen` endpoint:

`sentiment=true`

To transcribe audio from a file on your computer, run the following curl command in a terminal or your favorite API client.

**`cURL`**

```bash cURL
curl \
  --request POST \
  --header 'Authorization: Token YOUR_DEEPGRAM_API_KEY' \
  --header 'Content-Type: audio/wav' \
  --data-binary @youraudio.wav \
  --url 'https://api.deepgram.com/v1/listen?sentiment=true'
```

> **Warning**
>
> Replace `YOUR_DEEPGRAM_API_KEY` with your [Deepgram API Key](https://console.deepgram.com/signup?jump=keys).

### Query Parameters

| Parameter   | Values | Type    | Description                                                                |
| ----------- | ------ | ------- | -------------------------------------------------------------------------- |
| `sentiment` | `true` | boolean | Enables sentiment analysis                                                 |
| `language`  | `en`   | string  | The language of your input audio (Only English is supported at this time.) |

## Analyze Response

When the file is finished processing, you’ll receive a JSON response that has the following basic structure:

**`JSON`**

```json JSON
"metadata": {...},
  "results": {
    "channels": [
      {
        "alternatives": [...]
      }
    ],
    "sentiments": {
      "segments": [
        {
          "text": "Hi there. I love my current phone, but want a new one.",
          "start_word": 0,
          "end_word": 11,
          "sentiment": "positive",
          "sentiment_score": 0.4443286657333374
        },
        {
          "text": "Can I upgrade my phone?",
          "start_word": 12,
          "end_word": 16,
          "sentiment": "neutral",
          "sentiment_score": 0.1317894160747528
        }
      ],
      "average": {
        "sentiment": "positive",
        "sentiment_score": 0.35909067500721326
      }
    }
  }
}
```

The `sentiment` values added to objects are:

* `sentiment`: The sentiment of the associated text ('positive' | 'negative' | 'neutral').
* `sentiment_score`: A floating point value between -1 and 1 representing the sentiment of the associated span of text. -1 being the most negative sentiment, and 1 being the most positive sentiment.

---

### Response Properties

| Property                                   | Description                                                                                                                                                                            |
| ------------------------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `channels.alternatives.words[i].sentiment` | The sentiment rating and score for the associated word.                                                                                                                                |
| `sentiments.segments`                      | Spans of text covering your entire transcript that show when the sentiment shifts throughout the transcribed audio.                                                                    |
| `sentiments.segments[i].sentiment`         | A rating for the given span of text. Can be either `positive`, `neutral`, or `negative`.                                                                                               |
| `sentiments.segments[i].sentiment_score`   | A floating point value between -1 and 1 representing the sentiment of the associated span of text, with -1 being the most negative sentiment, and 1 being the most positive sentiment. |
| `sentiments.average`                       | The average sentiment for the entire transcription.                                                                                                                                    |

### API Warning Response

#### Warning

If you request Sentiment Analysis with an unsupported language by specifying a language code such as `sentiment=true&language=es` or `sentiment=true&detect_language=true` where the detected language is unsupported, you will get the warning message below.

**`JSON`**

```json JSON
"warnings": [
  {
    "parameter": "sentiment",
    "type": "unsupported_language",
    "message": "Sentiment is only supported for English."
  }
]
```

| Warning Name           | Warning Message                                                  |
| ---------------------- | ---------------------------------------------------------------- |
| `unsupported_language` | Feature isn't supported with the specified or detected language. |

**Example Warning**

Here is an example of the JSON structure of a request with warning object.

**`JSON`**

```json JSON
{
 "metadata": {
...
       },
     "warnings": [
       {
         "parameter": "sentiment",
         "type": "unsupported_language",
         "message": "Sentiment is only supported for English."
       }
     ]
   },
 "results": {
       "channels": [
            {
                "alternatives": [...]
            }
        ], 

    }
}
```

> Sentiment Analysis recognizes the sentiment throughout an entire transcript.