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MuleSoft AI Chain
Supported Operations
Sentiment Analysis

[Sentiment] Analyzer

The Sentiment analyzer operation is a simple prompt request operation to the configured LLM. It uses a plain text prompt as input and responds with a sentiment for the input text. The sentiment value can be NEUTRAL, POSITIVE, or NEGATIVE.

Sentiment Analyzer

Input Fields

Module Configuration

This refers to the MuleSoft AI Chain LLM Configuration set up in the Getting Started section.

General Operation Field

  • Prompt: Contains the prompt as plain text for the operation. This is the text which will be analyzed for its sentiment.

XML Configuration

Below is the XML configuration for this operation:

<ms-aichain:sentiment-analyze 
  doc:name="Sentiment analyze" 
  doc:id="cad4ef27-5c85-47f7-a68c-f666809b0846" 
  config-ref="MAC_AI_Llm_configuration" 
  data="#[payload.inputText]"
/>

Output Field for v0.2.0

This operation responds with a string payload which needs to be converted into a json, this can be achieved with a Transform Message component with the following dataweave expression:

%dw 2.0
output application/json
---
read(payload,"application/json").

Output Field

This operation responds with a json payload.

Example Output

This output has been converted to JSON.

{
    "sentiment": "POSITIVE",
    "tokenUsage": {
        "outputCount": 2,
        "totalCount": 111,
        "inputCount": 109
    },
    "isPositive": true
}
  • sentiment: The sentiment result for the query.
  • isPositive: Boolean if the query or text was positive.
  • tokenUsage
    • outputCount: Token used to generate the output.
    • totalCount: Total token used for input and output.
    • inputCount: Token used to process the input.

Example Use Cases

This operation is particularly useful in scenarios where you need to analyze the sentiment of text, such as:

  • Customer Feedback Analysis: Determining whether customer feedback is positive, negative, or neutral.
  • Social Media Monitoring: Analyzing the sentiment of social media posts or comments to gauge public opinion.
  • Market Research: Assessing the sentiment of survey responses or market research data.
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