What is example-based classification in SAP BC-TRX - TREX?

SAP Term: example-based classification

• Component: BC-TRX

• Component Name: TREX

• Description: One of the procedures for assigning documents to the categories of a taxonomy. With example-based classification, this assignment takes place through the comparison of example documents. Example-based classification calculates the similarity between the document that is to be placed in the taxonomy and the example documents that were used to train the taxonomy.

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• Key Concepts: 
  Example-based classification is a feature of the SAP BC-TRX TREX component that allows users to classify documents based on examples. This feature uses a combination of machine learning and natural language processing to identify patterns in documents and classify them accordingly. The system can be trained to recognize specific patterns and classify documents accordingly.
  
  How to use it: 
  To use example-based classification, users must first create a set of examples that the system can use to learn the patterns associated with each document type. Once the examples are created, the system can be trained by providing it with additional examples. Once the system is trained, it can be used to classify documents automatically.
  
  Tips & Tricks: 
  When creating examples for example-based classification, it is important to provide a variety of examples that cover all possible document types. This will ensure that the system is able to accurately classify documents. Additionally, it is important to provide feedback to the system when it makes mistakes so that it can learn from its mistakes and improve its accuracy over time.
  
  Related Information: 
  Example-based classification is similar to other machine learning techniques such as supervised learning and unsupervised learning. Additionally, this feature can be used in conjunction with other features of the SAP BC-TRX TREX component such as document clustering and text analytics.