Positive/Negative Sentiment Metrics

Definition

The Sentiment Positive and Sentiment Negative metrics represnt the sum of Sentiment Score values.

• sentiment_positive_<source> metrics are computed by taking the sum of the positive sentiment scores that are over 0.7.
• sentiment_negative_<source> metrics are computed by taking the sum of the negative sentiment scores that are over 0.7.
• sentiment_balance_<source> metrics show the difference between sentiment_positive_<source> and sentiment_negative_<source>.

Available Sources

List of available sources

Example

Thare are 10 messages in telegram that mention bitcoin. Below is a table that shows the sentiment scores of those 10 messages. The messages with the same sentiment score are grouped together (messages count bigger than 1).

Using this data we can compute:

• sentiment_positive_telegram:
• sentiment_negative_telegram:
• sentiment_balance_telegram:

Positive and Negative Sentiment Bitcoin Chart

Access

Restricted Access

Measuring Unit

Sum of sentiment scores

Data Type

Timeseries Data

Frequency

Five-Minute Intervals

Latency

Social Data Latency

Change Metrics

Change Metrics:

• sentiment_balance_total_change_1d
• sentiment_balance_total_change_7d
• sentiment_balance_total_change_30d

Available Assets

All metrics have the same set of available assets

SanAPI

Fetch timeseries data for sentiment_positive_total for a single asset:

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{
  getMetric(metric: "sentiment_positive_total") {
    timeseriesDataJson(
      slug: "ethereum"
      from: "utc_now-90d"
      to: "utc_now-30d"
      interval: "7d"
    )
  }
}

Run in explorer

Fetch timeseries data for sentiment_negative_telegram for multiple assets at the same time:

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{
  getMetric(metric: "sentiment_negative_telegram") {
    timeseriesDataPerSlugJson(
      selector: { slugs: ["ethereum", "bitcoin"] }
      from: "utc_now-60d"
      to: "utc_now-55d"
      interval: "1d"
    )
  }
}

Run in explorer

Fetch aggregated daily values for many assets:

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{
  allProjects(page: 1, pageSize: 50) {
    slug
    sentimentPositive: aggregatedTimeseriesData(
      metric: "sentiment_positive_total"
      from: "utc_now-7d"
      to: "utc_now"
    )
    sentimentNegative: aggregatedTimeseriesData(
      metric: "sentiment_negative_total"
      from: "utc_now-7d"
      to: "utc_now"
    )
    sentimentBalance: aggregatedTimeseriesData(
      metric: "sentiment_balance_total"
      from: "utc_now-7d"
      to: "utc_now"
    )
  }
}

Run in explorer

Full list of metrics

The full list of Postive/Negative/Balance sentiment metrics is: