机读格式显示(MARC)

• 000 01366nam a2200277 i 4500

• 001 0000841362

• 005 20250912102600.0

• 008 201126s2022 dk a b 001 0 eng d

• 020 __ |a 9788770043199 :

• 040 __ |a YDX |b eng |e rda |c YDX |d BDX |d YDX |d OCLCO |d OCLCF |d OCLCO |d OCLCL |d OCLCQ

• 050 _4 |a QA76.9.D343 |b F86 2022

• 082 04 |a 006.3/12 |2 23

• 090 __ |a TP311.131/X4

• 093 __ |a TP311.131 |2 5

• 245 00 |a Functional applications of text analytics systems / |c editors, Steven Simske, Marie Vans.

• 260 __ |a Aalborg : |b River Publishers, |c 2022

• 300 __ |a xxxii, 257 pages : |b illustrations (black & white) ; |c 24 cm.

• 336 __ |a text |b txt |2 rdacontent

• 337 __ |a unmediated |b n |2 rdamedia

• 338 __ |a volume |b nc |2 rdacarrier

• 490 0_ |a River Publishers Series in Document Engineering

• 504 __ |a Includes bibliographical references and index.

• 520 __ |a Text analytics can provide a wide breadth of valuable information, including summarization, clustering, classification, and categorization to enable better functional interaction with the text. This includes improved search, translation, optimization, and learning. In this text advanced analytical approaches used to enable improved utility of the text documents are described and explained.

• 650 _0 |a Text data mining.

• 700 1_ |a Simske, Steven, |e editor.

• 700 1_ |a Vans, Marie, |e editor.