國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Social media mining with R :deploy c...

Danneman, Nathan.

Social media mining with R :deploy cutting-edge sentiment analysis techniques to real-world social media data using R /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Social media mining with R :Nathan Danneman, Richard Heimann.
其他題名:	deploy cutting-edge sentiment analysis techniques to real-world social media data using R /
作者:	Danneman, Nathan.
其他作者:	Heimann, Richard.
出版者:	Birmingham :Packt Publishing,2014.
面頁冊數:	ii, 107 p. :ill. ;24 cm.
標題:	R (Computer program language)
ISBN:	9781783281770 (pbk.) :

Social media mining with R :deploy cutting-edge sentiment analysis techniques to real-world social media data using R /
Danneman, Nathan.

Social media mining with R :deploy cutting-edge sentiment analysis techniques to real-world social media data using R /Nathan Danneman, Richard Heimann. - Birmingham :Packt Publishing,2014. - ii, 107 p. :ill. ;24 cm. - Community experience distilled.

Includes bibliographical references (p. 102-103) and index.

A concise, hands-on guide with many practical examples and a detailed treatise on inference and social science research that will help you in mining data in the real world. Whether you are an undergraduate who wishes to get hands-on experience working with social data from the Web, a practitioner wishing to expand your competencies and learn unsupervised sentiment analysis, or you are simply interested in social data analysis, this book will prove to be an essential asset. No previous experience with R or statistics is required, though having knowledge of both will enrich your experience.

ISBN: 9781783281770 (pbk.) :NT$803Subjects--Topical Terms:

210846
R (Computer program language)

LC Class. No.: QA276.45.R3 / .D366 2014

Dewey Class. No.: 006.3/12

Social media mining with R :deploy cutting-edge sentiment analysis techniques to real-world social media data using R /
LDR:01375cam a2200217 a 4500 001 427079
003 OCoLC
005 20140731232637.0
008 140910s2014 enka b 001 0 eng d
020 $a 9781783281770 (pbk.) : $c NT$803
020 $a 1783281774 (pbk.)
035 $a (OCoLC)875641188
035 $a 875641188
040 $a IDEBK $b eng $c IDEBK $d EBLCP $d N$T $d MHW
050 4 $a QA276.45.R3 $b .D366 2014
082 0 4 $a 006.3/12 $2 22
100 1 $a Danneman, Nathan. $3 670961
245 1 0 $a Social media mining with R : $b deploy cutting-edge sentiment analysis techniques to real-world social media data using R / $c Nathan Danneman, Richard Heimann.
260 $a Birmingham : $b Packt Publishing, $c 2014.
300 $a ii, 107 p. : $b ill. ; $c 24 cm.
490 0 $a Community experience distilled
504 $a Includes bibliographical references (p. 102-103) and index.
520 $a A concise, hands-on guide with many practical examples and a detailed treatise on inference and social science research that will help you in mining data in the real world. Whether you are an undergraduate who wishes to get hands-on experience working with social data from the Web, a practitioner wishing to expand your competencies and learn unsupervised sentiment analysis, or you are simply interested in social data analysis, this book will prove to be an essential asset. No previous experience with R or statistics is required, though having knowledge of both will enrich your experience.
650 0 $a R (Computer program language) $3 210846
650 0 $a Data mining. $3 184440
650 0 $a Social media. $3 465899
700 1 $a Heimann, Richard. $3 670962