Document parsers are text analysis applications that have different subtypes. Text mining and summarization software tools use a variety of approaches to categorize and extract data from unstructured digital documents.
The Document Parsing algorithm breaks up a document into its most extensive constituents, typically sentences and clauses. The initial step is usually to convert the sentences of the source text into their stem format called the Sentence Graph.
Modern document-parsing technologies are generally smart enough to take in the gist of documents. They can read for precise meaning and understand the broad context. However, intelligent Document Parsing requires programs to take advantage of the options available in today’s software to read, import, manage and share documents. More intelligent document parsing means, for example, the ability to create merged copy/print versions instead of the practice of having numerous versions of a single document or paper output.
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