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What are the available options for Scoring in Document Manager, that apply only to string content type?
According to the UiPath documentation, the available options for Scoring in Document Manager, that apply only to string content type, are exact match and Levenshtein. Exact match is a scoring strategy that considers a prediction to be correct only if it exactly matches the true value. Levenshtein is a scoring strategy that measures the similarity between two strings by counting the minimum number of edits (insertions, deletions, or substitutions) required to transform one string into another. The lower the Levenshtein distance, the higher the score. These options can be configured in the Advanced tab of the Edit Field window for string fields.
References:
Document Understanding - Create and Configure Fields
Document Understanding - Training High Performing Models
What is the relationship between AI Center and UiPath Document Understanding?
AI Center provides the infrastructure and platform for running custom machine learning models that can be used in UiPath Document Understanding workflows. These models enhance data extraction and classification accuracy, making AI Center a critical component of advanced Document Understanding solutions.
What can the Sentiment Analysis out-of-the-box model be used for?
The Sentiment Analysis out-of-the-box model in UiPath is used to interpret and classify the emotional tone within text data. It is particularly useful for analyzing product reviews, customer feedback, social media posts, and emails to understand customer sentiment and emotional responses, helping businesses make informed decisions based on these insights. (Source: UiPath Sentiment Analysis model documentation
What fields are available when creating an Al Center project?
When creating an AI Center project in UiPath, the fields available to input are the project's name and description. These fields allow you to clearly label and describe the purpose of the AI project within the UiPath platform. Permissions and labels can be managed separately after the project is created
When is it recommended to use Main-ActionCenter in the context of the Document Understanding Process?
Main-ActionCenter is a workflow that allows you to create and manage Document Understanding actions in Action Center, which is a web application that enables human intervention in automation processes. You can use Main-ActionCenter when you want to test your Document Understanding process locally, or when you want to implement an attended process that requires human validation or classification of documents. Main-ActionCenter is not recommended for unattended processes, as they do not involve human interaction.
