Unstructured Documents

Unstructured documents refer to textual information that lacks a specific template or predefined structure. These documents do not conform to a particular schema or format and are typically free-form in nature, allowing users to express themselves without following a specific pattern or outline. Unstructured documents can include various types of content, such as emails, memos, reports, articles, social media posts, blog posts, handwritten notes, and more.

Unlike structured documents that have organized data and follow a predefined structure, unstructured documents do not have a consistent layout or organization. They often contain natural language, with paragraphs, sentences, and phrases written in a more conversational or narrative style. Due to the absence of a defined structure, unstructured documents are challenging to analyze and extract information from using traditional methods. However, advancements in natural language processing and machine learning techniques have made it possible to extract valuable insights and knowledge from unstructured documents, enabling organizations to make data-driven decisions based on the information contained within these documents.

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