There are many use cases and benefits and we want you to try it out. If you have not tried the new Document Segmentation feature then now is a good time to check it out and see what it can do. This might work in some cases but this could also lead to false conclusion in some cases. Without splitting the document before enriching, you will have to do enrichment on the entire document. After the split, each chunk will be enriched separately. During the configuration, you can use the split function to split the document into 2 or more chunks. You can upload your word document into WDS and query the document(s) to understand what your customers are saying. As a company, you want to review these comments to understand more about what your customers and users are saying. You have a company feedback form that your customers and clients use to let you know what they think about your product. Document Segmentation will segment each time the specified tag(s) are detected. Once broken down, each segment will be treated as a separate document that will be enriched and indexed separately. They can choose to change the tags of the documents or change the rules on how WDS splits their documents or finds their tags in configuration. While enabled, and based on the configuration, the document will be broken down into small chunks. Metadata Assistant integrates with email and document management systems to create a seamless experience. Taking advantage of the newly launched Document Segmentation functionality, XYZ is opting to split their documents using this function. Once the documents are uploaded, WDS will convert each document into an HTML file format. To ingest this document, the company will upload the document into Discovery using their instance. #DISCOVERER METADATA CONVERTER ASSISTANT PDF#(We are assuming the documents are saved as word documents although the system would also be able to split the documents if they were saved as PDF or HTML files). The company’s policies are saved as a word document. They choose to try the Document Segmentation feature (good choice). Or, they can use the Document Segmentation feature to segment the original document based on headings within the document. XYZ has two options: They can employ someone to manually save each clause as a separate document so that they can be uploaded to WDS individually. They have decided to use the IBM Watson Discovery to ingest, enrich and query its company’s policy documents. Use Case - Company XYZ wants to ingest their company’s policy documentationĬompany XYZ has multiple policy documents with over 100 separate clauses in each one. This feature can also result in improved result ranking when performing relevancy training (specifically for natural language query) as the training is performed on segmented and information-specific portions of documents instead of the entire general document. The Document Segmentation feature splits an unstructured document into useful chunks that are then enriched and stored as individual searchable results.
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