東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Text analytics with Python = a pract...

Sarkar, Dipanjan.

FindBook

Google Book

Amazon

博客來

Text analytics with Python = a practitioner's guide to natural language processing /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Text analytics with Python/ by Dipanjan Sarkar.
其他題名:	a practitioner's guide to natural language processing /
作者:	Sarkar, Dipanjan.
出版者:	Berkeley, CA :Apress : : 2019.,
面頁冊數:	xxiv, 674 p. :ill., digital ;24 cm.
內容註:	Chapter 1: Natural Language Processing Basics -- Chapter 2: Python for Natural Language Processing -- Chapter 3: Processing and Understanding Text -- Chapter 4: Feature Engineering for Text Data -- Chapter 5: Text Classification -- Chapter 6: Text summarization and topic modeling -- Chapter 7: Text Clustering and Similarity analysis -- Chapter 8: Sentiment Analysis -- Chapter 9: Deep learning in NLP.
Contained By:	Springer eBooks
標題:	Python (Computer program language) -
電子資源:	https://doi.org/10.1007/978-1-4842-4354-1
ISBN:	9781484243541

Text analytics with Python = a practitioner's guide to natural language processing /
Sarkar, Dipanjan.

Text analytics with Pythona practitioner's guide to natural language processing /[electronic resource] :by Dipanjan Sarkar. - 2nd ed. - Berkeley, CA :Apress :2019. - xxiv, 674 p. :ill., digital ;24 cm.

Chapter 1: Natural Language Processing Basics -- Chapter 2: Python for Natural Language Processing -- Chapter 3: Processing and Understanding Text -- Chapter 4: Feature Engineering for Text Data -- Chapter 5: Text Classification -- Chapter 6: Text summarization and topic modeling -- Chapter 7: Text Clustering and Similarity analysis -- Chapter 8: Sentiment Analysis -- Chapter 9: Deep learning in NLP.

ISBN: 9781484243541

Standard No.: 10.1007/978-1-4842-4354-1doiSubjects--Topical Terms:

729789
Python (Computer program language)

LC Class. No.: QA76.73.P98 / S275 2019

Dewey Class. No.: 005.133

Text analytics with Python = a practitioner's guide to natural language processing /
LDR:01436nmm a2200325 a 4500 001 2191709
003 DE-He213
005 20191107144828.0
006 m d
007 cr nn 008maaau
008 200504s2019 cau s 0 eng d
020 $a 9781484243541 $q (electronic bk.)
020 $a 9781484243534 $q (paper)
024 7 $a 10.1007/978-1-4842-4354-1 $2 doi
035 $a 978-1-4842-4354-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.73.P98 $b S275 2019
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 005.133 $2 23
090 $a QA76.73.P98 $b S245 2019
100 1 $a Sarkar, Dipanjan. $3 3201326
245 1 0 $a Text analytics with Python $h [electronic resource] : $b a practitioner's guide to natural language processing / $c by Dipanjan Sarkar.
250 $a 2nd ed.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2019.
300 $a xxiv, 674 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1: Natural Language Processing Basics -- Chapter 2: Python for Natural Language Processing -- Chapter 3: Processing and Understanding Text -- Chapter 4: Feature Engineering for Text Data -- Chapter 5: Text Classification -- Chapter 6: Text summarization and topic modeling -- Chapter 7: Text Clustering and Similarity analysis -- Chapter 8: Sentiment Analysis -- Chapter 9: Deep learning in NLP.
650 0 $a Python (Computer program language) $3 729789
650 1 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Python. $3 3201289
650 2 4 $a Big Data. $3 3134868
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-1-4842-4354-1
950 $a Professional and Applied Computing (Springer-12059)