What is the 'Training Data Source' in Analytics?

The 'Training Data Source' in Analytics refers to the document set from which the Analytics engine learns word relationships. This concept is crucial because it establishes the foundation for how the engine interprets language, context, and association between terms. By analyzing the training data source, the Analytics engine can identify patterns and correlations that enable it to better understand and categorize new documents based on learned relationships.

This training process is vital for developing the model that powers functionalities such as predictive coding, concept searching, and other advanced analytic capabilities. Utilizing a well-defined training data source enhances the accuracy and reliability of the analytics results, allowing users to gain deeper insights from their data. The quality and relevance of this training set can significantly impact the effectiveness of the entire analytics process, making it a key element in the operation of analytics functions within the platform.