Social Media Sentiment
Provider: Datastreamer
Sentiment detection for social media content
- Listing ID:
- [twitter-sentiment]
- Type:
- Operation
- Connection:
- Integrated
This source is available as part of the Datastreamer NLP Classifiers bundle.
Description
This classifier displays the sentiment extracted from the given text. The output would be one of these labels:
- Neutral
- Positive
- Negative
This component is a text-specialized model that extracts the sentiment from English short-form content. Indeed, the classifier can act as a search filter. For instance, it provides the users the possibility to filter their search and focus on negative or positive content for further analysis. More use cases of the model would be available when used along with other classifiers. For instance, it could be used to detect the sentiment of the future action (when used in conjunction with the intent classifier), or could also be used to detect sentiment relating to organizations or people (when used in conjunction with the named entity recognition).
The Sentiment classifier can add one metadata section as an enrichment. The result is a ternary label (neutral, positive, negative) along with the predicted confidence level:
“enrichment”:
{
“sentiment”: {
“label”: “True”,
“confidence”: 0.95
},
}
Components from This Provider
- Coverage Details
- Operation Method
- Post-processing
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