Actions108
- AI Actions
- Transcribe
- Detect Brand
- Extract Contact Information
- Mood Detection
- Detect Adult Content
- Enitity Detection
- Language Detection
- Too Long To Read
- Check Content Policy
- Detect Faces
- Generate Python Code
- Picture Text Recognition
- Detect Color
- Generate Image
- PDF OCR
- Translation
- Detect Email Type
- Generate Javascript Code
- Picture Object Recognition
- Business Actions
- Calculate Actions
- Code Actions
- Convert Actions
- Crypto Actions
- Date & Time Actions
- Generate Actions
- Image Actions
- Operator Actions
- PDF Actions
- Storage Actions
- Text Actions
- User Actions
Overview
This node provides a versatile set of no-code utilities grouped under various resources, including AI, business, code, conversion, crypto, and more. Specifically for the AI - Mood Detection operation, it analyzes a given text input to detect the mood or sentiment expressed in that text. This can be useful in scenarios such as customer feedback analysis, social media monitoring, or any application where understanding the emotional tone of text is valuable.
For example, you could use this node to automatically analyze customer reviews to determine if they are positive, negative, or neutral, enabling automated responses or routing.
Properties
| Name | Meaning |
|---|---|
| Text | The text content you want to analyze for mood detection. |
| Code Variables | Optional collection of code variables (name/ID and value) that can be used when running code-based operations within the node. For Mood Detection, this is not typically required. |
Note: The "Code Variables" property allows users to pass additional dynamic variables when executing code-related operations but is not directly relevant to Mood Detection.
Output
The node outputs a JSON array where each element corresponds to an input item processed. For the Mood Detection operation, the output JSON contains the detected mood or sentiment analysis results derived from the input text.
The exact structure depends on the external API response but generally includes fields indicating the mood category (e.g., happy, sad, angry) and possibly confidence scores or related metadata.
No binary data output is involved in this operation.
Dependencies
- Requires an API key credential for authentication with the external service providing the AI utilities.
- The node internally calls an API endpoint corresponding to
ai/moodDetectionwith the provided text. - No other external dependencies are indicated.
Troubleshooting
Common issues:
- Missing or invalid API key credential will cause authentication failures.
- Providing empty or invalid text input may result in errors or empty results.
- Network connectivity issues can prevent successful API calls.
Error messages:
- Authentication errors typically indicate missing or incorrect API credentials; verify and update your API key.
- Validation errors may occur if the "Text" property is empty or too short; ensure valid text input.
- Unexpected API errors might require checking the external service status or reviewing request payloads.
Links and References
- n8n Expressions Documentation — for using expressions in properties like Code Variables.
- External API documentation for the AI service (not included in source) would provide detailed info on mood detection response format and usage.
This summary focuses exclusively on the AI resource's Mood Detection operation as requested.