in text mining, inputs to the process include unstructured data such as word documents, pdf files, text excerpts, e-mail and xml files.

Question

10-12-2022
Computers and Technology

contestada

in text mining, inputs to the process include unstructured data such as word documents, pdf files, text excerpts, e-mail and xml files.

Respuesta :

Otras preguntas

Which object will have the greatest change in electrical energy? (1) an electron moved through a potential difference of 2.0 V (2) a metal sphere with a charge

Document 6 … Growing sugar cane became a large business. At first, Native Americans were forced to work on sugar plantations, large estates run by

Development and expansion of banking, insurance companies, and stock exchanges were essential to the system of (1) feudalism (3) capitali

An allergic reaction to certain types of natural, unprocessed foods, such as peanuts, is caused by (1) a lack of digestive enzymes (2) a response to specific an

why were monsoons important to early indian civilizations?

A cone has a diameter of 18 in. and a height of 14 in. What is the volume of the cone? Use 3.14 as an approximation for straight pi . Express your final answer

Which of the following would be the least authoritative source for a science project about the solar system? (Points : 1)

A ball is thrown with an initial speed of 10. meters per second. At what angle above the horizontal should the ball be thrown to reach the greatest height? (1)

The Universal Declaration of Human Rights (1948) and the founding of Amnesty International (1961) are both associated with efforts to recognize and pr

describe how stocks are traded

rekharaypriti8910 rekharaypriti8910 · Answer 1 · 2022-12-18T10:36:59+01:00

Text mining and text analysis combine machine learning, statistics, and linguistics to find textual patterns and trends in unstructured data.

More quantitative insights can be discovered using text analytics by putting the data into a more structured format through text mining and text analysis. Large-scale unstructured text data analysis is called text mining, and it involves using software to find concepts, patterns, subjects, keywords, and other characteristics in the data. Text analytics and text mining are frequently used interchangeably. While text analytics produces numbers, text mining is the process of extracting qualitative information from unstructured text.

Learn more about software here-

https://brainly.com/question/11973901

#SPJ4