How would one explain text mining?

Answer 1

The method of obtaining essential information from standard language text data is known as text mining. Text mining is one of the most efficient and orderly techniques of processing and analyzing unstructured data (which accounts for almost 80% of all data on the planet). This is the information we generate through text messages, papers, emails, and files written in plain text.

Huge amounts of data are collected and kept on cloud platforms and data warehouses, and it's difficult to keep storing, processing, and evaluating such massive amounts of data with traditional technologies. Text mining is typically used to extract useful insights or patterns from large amounts of data. This is when text mining comes in handy.

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.

Answer 2

Text mining usually refers to the process of extracting high quality information from text. Other terms include text data mining and text analytics. A commonly used technique is statistical pattern learning.