Sentiment Analysis in GenAI Task Type

The GenAI task type in Procify brings Artificial Intelligence into your workflows, helping you reduce manual work. One of its key capabilities is Sentiment Analysis, which allows you to evaluate the sentiment of a text or a file automatically. This feature is especially useful for assessing the emotional tone of unstructured inputs, including customer feedback, support tickets, and survey responses.

How Sentiment Analysis Works

Configuring the GenAI task type for Sentiment Analysis is quite straightforward. During the workflow building phase, simply provide the input you want analyzed (either as plain text or as a file), and the system will process it during execution.

Text Input Configuration

File Input Configuration

Sentiment Analysis During Workflow Execution

During execution, the system will analyze the content given and will categorize it into one of five sentiment classes:

• Very Negative: The system determined that the sentiment behind the input is very negative.
• Negative: The system determined that the sentiment behind the input is negative.
• Neutral: The system determined that the sentiment behind the input is neutral.
• Positive: The system determined that the sentiment behind the input is positive.
• Very Positive: The system determined that the sentiment behind the input is very positive.

Also, alongside the category, Procify will provide a confidence level, indicating how certain the model is about the classification it made.

The sentiment classification and confidence score are available as variables after the task executes. This means that you can branch workflows based on sentiment and trigger automated responses depending on positivity/negativity.