Reference: UiPath Document Understanding

The Label Trends table in UiPath Communications Mining shows the trend of the top 10 highest volume labels over the selected time period, as well as their percentage change and rank change compared to the previous period1. The table allows users to quickly identify which labels are increasing or decreasing in volume, and by how much, over time. The table also shows the net sentiment score for each label, which is calculated as the difference between the positive and negative sentiment probabilities for each verbatim2. The table can be filtered by data type, source, date range, and label category. Users can also sort the table by label name, volume, percentage change, rank change, or net sentiment1.
References: 1: Trends 2: Sentiment Analysis

Comprehensive and Detailed Explanation From Exact Extract:
Before training a model in Communications Mining, it iscrucial to align the taxonomy and labeling strategy with business goalsto ensure the outputs provide measurable value. This preparation stage helps define KPIs, label definitions, and ensures the AI output leads to actionable automation or insight.
* Focusing on value from the startprevents wasted effortand allows prioritization of the most impactful communication types.
* UiPath Documentation Reference:Communications Mining - Best Practices for Training

The Document Object Model (DOM) is a data representation of the objects that comprise the structure and content of a document on the web1. In the context of Document Understanding, the DOM is a JSON object that is generated by the Digitize Document activity, which uses the UiPath Document OCR engine to extract the text and layout information from the input document2. The DOM contains the following properties for each document3:
name: The name of the document file.
contentType: The MIME type of the document file, such as application/pdf or image/jpeg.
textLength: The number of characters in the document text.
pages: An array of objects, each representing a page in the document. Each page object has the following properties:
pageNumber: The number of the page, starting from 1.
rotation: The angle of rotation of the page, in degrees. A positive value indicates clockwise rotation, and a negative value indicates counterclockwise rotation.
language: The language code of the page, such as en or fr.
content: An array of objects, each representing a word or a line in the page. Each content object has the following properties:
type: The type of the content, either word or line.
text: The text of the content.
boundingBox: An array of four numbers, representing the coordinates of the top-left and bottom-right corners of the content, in the format [x1, y1, x2, y2]. The coordinates are relative to the page, with the origin at the top-left corner, and the unit is pixel.
confidence: A number between 0 and 1, indicating the confidence level of the OCR engine in recognizing the content.
The DOM can be used as an input for other activities in the Document Understanding framework, such as Classify Document Scope, Data Extraction Scope, or Export Extraction Results. The DOM can also be manipulated using programming code, such as JavaScript or Python, to perform custom operations on the document data.
References:
1: Introduction to the DOM - Web APIs | MDN 2: Digitize Document 3: Document Object Model

According to the UiPath documentation, OmniPaqe is a paid OCR engine that requires a license to use. It is one of the most accurate and reliable OCR engines available, and it supports over 200languages. The other OCR engines listed are free of charge, but they may have different features, limitations, and performance levels. For example, Tesseract is an open-source OCR engine that supports over 100 languages, but it may not be as accurate as OmniPaqe. Microsoft Azure OCR and Microsoft OCR are both cloud-based OCR engines that use Microsoft's technology, but they have different capabilities and pricing models. Microsoft Azure OCR can process both printed and handwritten text, and it uses a pay-as-you-go model based on the number of transactions. Microsoft OCR can only process printed text, and it is included in the UiPath Studio license.
References:
Document Understanding - OCR Engines
Automation Pricing - Complete UiPath Enterprise Solution