Organisations use a document management system (DMS) to store, track, and manage electronic documents. Document management systems also commonly provide search/retrieval and automatic document routing capabilities. For document management software to truly be capable of accurately finding the documents you need at the time you need them or to route them appropriately, documents must first be labeled in the form of metadata information attached to them. Since each organisation has very different types of content and classification categories, document management software must be tailored to each organisation. After all, no business is the same.
Importance of Document Classification
Document categorisation software assists in the organisation of electronic documentation via the automatic identification of semantic themes in your documents. Categorisation allows each document in your system to be found or routed and analysed most effectively based on your organisation’s needs.
For maximum flexibility and accuracy, categorisation software must provide various categorisation strategies.
- Machine learning categorisation. This type of categorisation is best used when your business has training data available for the software to use. From training data, the categorisation software is then able to create models which the system can use to categorise new documents. It is important that machine-learning categorisation be possible — even with a small amount of training data.
- Topic tagging categorisation. With this type of categorisation, training data is not needed. The user provides concept tagging rules based on simple phrases, words, suffixes, or prefixes. This approach is simple and useful when the user is familiar with the domain and can craft accurate rules. A limitation of this approach is that the terms used for the categorisation rules must be relatively unambiguous to avoid conflicts in categorisation.
- Semantic extraction categorisation. This type of categorisation utilises semantic entity and event extraction to categorise documents based on names of organisation, places, and events. It is suitable when the target categories relate to concepts already covered by available semantic extraction software.
The document classification features in docEdge DMS provides all three types of categorisation strategies, which can be used separately or in combination, and provides an application programming interface. Through both rule-based and machine learning-based techniques,
Here, docEdge software is able to provide your business with the customisable categorisation your business needs.