Content Type - Weightings

View the classification weightings associated with this Content Type.

Remarks

The Content Type Weightings tab provides an interactive workspace for reviewing the classification features and their weightings used by the selected Content Type and its descendants. This control is essential for solution designers and administrators who need to understand, validate, or troubleshoot the feature-based classification logic that determines how documents are identified and separated in Grooper.

Purpose

Use this tab to view the list of features (such as words, phrases, or tokens) and their associated weightings that have been learned from training data for the current Content Type. Weightings reflect the importance of each feature in distinguishing this type from others, and are used by the classification engine to make document type assignments.

UI Components

• Language Drop-down:
  • Displays all languages for which training data has been saved for this Content Type.
  • Select a language to view the corresponding set of features and weightings.
  • The list is automatically populated based on available training data.
• Feature List:
  • Shows all features (e.g., terms, tokens) and their calculated weightings for the selected language.
  • Features are sorted by importance, with the highest-weighted features at the top.
  • May include columns for feature name, weighting score, and other relevant metadata.
  • Supports scrolling, searching, and sorting to help users analyze the feature set.
• Toolbar and Buttons:
  • {purge}: Remove all training data for the current Content Type and language.
  • Button states and tooltips provide guidance for available actions and indicate when training data is present.

Workflow and Scope

• The tab is enabled for Content Types that use a trainable classification method and are not Content Models.
• All languages with available training data are listed in the drop-down; selecting a language updates the feature list.
• Use this tab to review which features are most influential in classification, identify potential issues, or decide when to retrain or purge training data.

Example

The following diagram illustrates the typical layout of the Content Type Weightings tab:

┌────────────────────────────────────────────────────────────────────────────────────────┐
│ Weightings                                             {purge} │ Language: {Drop-down} │
├────────────────────────────────────────────────────────────────────────────────────────┤
│                                                                                        │
│ {Feature List}                                                                         │
│ ┌────────────────────────────────────────────────────────────────────────────────────┐ │
│ │ Feature   | Weighting | Count | CWF | CTC | CF       | TF      | IDF     | ...     │ │
│ │-----------|-----------|-------|-----|-----|----------|---------|---------|---------│ │
│ │ Invoice   | 0.980000  |  120  |  3  |  80 | 0.800000 | 0.500000| 1.200000| ...     │ │
│ │ Amount    | 0.850000  |   95  |  2  |  60 | 0.600000 | 0.400000| 1.100000| ...     │ │
│ │ Due       | 0.750000  |   80  |  2  |  55 | 0.550000 | 0.350000| 1.050000| ...     │ │
│ │ ...       | ...       |  ...  | ... | ... | ...      | ...     | ...     | ...     │ │
│ └────────────────────────────────────────────────────────────────────────────────────┘ │
└────────────────────────────────────────────────────────────────────────────────────────┘

• {Drop-down}: Select the language for which to view feature weightings.
• {Feature List}: Table of features and their weightings for the selected language.
• {purge}: Button to remove all training data for the current type and language.

Accessibility

• Fully navigable by keyboard and mouse.
• Visual cues and highlighting indicate the selected language and feature importance.
• Tooltips and context menus provide guidance for available actions.

Advanced Features

• Language Awareness: Supports multilingual training data, allowing review of features for each language independently.
• Live Updates: The feature list updates instantly when a new language is selected or when training data changes.
• Integration: Works in conjunction with training, classification, and model management features to ensure transparency and control over the classification process.

Command Buttons

Button	Shortcut Key		Summary
delete purge		►	Purge all training. The purge button removes all training data for the current Content Type and selected language. Use this command to clear out existing training data if it is outdated, incorrect, or needs to be replaced. The button is only enabled when training data is present for the selected language. A confirmation dialog may appear to prevent accidental data loss. Tooltips provide guidance on the impact of purging training data. After purging, the feature list will be empty until new training samples are provided and processed.

Child Controls

Name	Type		Summary
Feature List	Weightings List	►	Displays the list of classification features and their weightings for the selected language. The Feature List control presents all features (such as words, phrases, or tokens) and their associated weightings that have been learned from training data for the current Content Type and selected language. Columns include: Feature, Weighting, Count, CWF (Class With Feature), CTC (Class Training Count), CF (Class Frequency), TF (Term Frequency), and IDF (Inverse Document Frequency). Features are sorted by importance, with the highest-weighted features at the top of the list. Supports scrolling, searching, and sorting to help users analyze the feature set. Selecting a different language from the drop-down updates the feature list to show the relevant data. Visual cues and highlighting indicate the most influential features for classification. Tooltips and column headers provide guidance on the meaning of each value. Use this control to review which features are most influential in classification, identify potential issues, and validate the quality of your training data.

Used By

Design Tab Host