discuss the difference between structured and unstructured problems.

Unstructured data

Its

Unstructured Supplementary Service Data

Unstructured data refers to information that does not conform to a specific data model or format, making it more challenging to analyze and interpret compared to structured data. Examples include text documents, emails, videos, images, social media posts, and audio files. Unstructured data often requires specialized tools and techniques, such as natural language processing and machine learning, to extract valuable insights.

The process of extracting high-quality data from unstructured text is known as text mining. Text mining, in its most basic form, seeks out facts, relationships, and affirmation from large amounts of unstructured textual data.