There are times when you are confronted by unstructured documents that contain a lot of relevant and irrelevant information, and you have to scan through all of it yourself to extract the most relevant parts. Imagine if this tedious task could be automated such that you become capable of extracting only desirable information from a document without having to work at all. With Artificial Intelligence influencing almost all spheres of life today, this dream of high-quality Information extraction from documents has now become a reality with unstructured data extraction tools.
Analyzing textual data involves developing an understanding of the context, finding a link between different textual entities, and sometimes discovering certain parts in a long document that you feel conveys the crux of the whole document very effectively.
With Artificial Intelligence-based Information Extraction Tools, this kind of data analysis, which only the human brain is capable of conducting, can be mimicked to a large extent.
In this article, let us learn what is the process of analyzing data to extract information, and how it can improve the efficiency of the workflow in a variety of settings.
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