机读格式显示(MARC)

• 000 01398cam a2200301 i 4500

• 001 0000708423

• 005 20180621095600.0

• 008 170216s2017 nju b 001 0 eng c

• 010 __ |a 2017006983

• 020 __ |a 9781119282013 (cloth) : |c CNY508.00

• 040 __ |a WaSeSS/DLC |b eng |e rda |c WaSeSS

• 050 00 |a QA76.9.D343 |b K94 2017

• 082 00 |a 006.3/12 |2 23

• 090 __ |a TP311.13/BK1

• 093 __ |a TP311.13 |2 5

• 100 1_ |a Kwartler, Ted, |d 1978- |e author.

• 245 10 |a Text mining in practice with R / |c Ted Kwartler.

• 260 __ |a Hoboken, NJ : |b John Wiley & Sons, |c c2017.

• 300 __ |a 1 v. ; |c 24 cm.

• 336 __ |a text |2 rdacontent

• 337 __ |a unmediated |2 rdamedia

• 338 __ |a volume |2 rdacarrier

• 504 __ |a Includes bibliographical references and index.

• 505 0_ |a What is text mining? -- Basics of text mining -- Common text mining visualizations -- Sentiment scoring -- Hidden structures : clustering, string distance, text vectors & topic modeling -- Document classification : finding clickbait from headlines -- Predictive modeling : using text for classifying & predicting outcomes -- The OpenNLP Project -- Text sources.

• 650 _0 |a Data mining.

• 650 _0 |a Text processing (Computer science)

• 776 08 |i Online version: |a Kwartler, Ted, 1978- author. |t Text mining in practice with R |d Hoboken, NJ : John Wiley & Sons, 2017 |z 9781119282099 |w (DLC) 2017010584

• 920 __ |a 233030 |z 1