Cargando…

Deep text : using text analytics to conquer information overload, get real value from social media, and add big(ger) text to big data /

"Deep text is an approach to text analytics that adds depth to our ability to utilize a growing mass of unstructured text the world is drowning in. Here, author Tom Reamy explains what deep text is and surveys its many uses and benefits. He describes applications and development best practices,...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Reamy, Tom (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Medford, NJ : Information Today, Inc., 2016.
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000Mi 4500
001 EBSCO_ocn953847933
003 OCoLC
005 20231017213018.0
006 m o d
007 cr |n|||||||||
008 160722s2016 njua ob 001 0 eng d
040 |a IDEBK  |b eng  |e pn  |c IDEBK  |d N$T  |d YDXCP  |d OCLCO  |d N$T  |d OCLCQ  |d KAG  |d YDX  |d GPRCL  |d TEFOD  |d Z5A  |d IBE  |d VGM  |d OCLCQ  |d UPM  |d SNK  |d DKU  |d AUW  |d INTCL  |d IGB  |d D6H  |d OCLCQ  |d GILDS  |d OCLCF  |d VTS  |d AGLDB  |d NTG  |d G3B  |d S8J  |d S9I  |d TKN  |d MEU  |d STF  |d EBLCP  |d M8D  |d OCLCQ  |d UKSSU  |d OCLCQ  |d OCLCO  |d OCLCQ  |d OCL  |d OCLCO 
019 |a 958412394  |a 987410620  |a 1024274447  |a 1162007958  |a 1241880433 
020 |a 1573876852  |q (electronic bk.) 
020 |a 9781573876858  |q (electronic bk.) 
020 |a 9781573876865  |q (electronic bk.) 
020 |a 1573876860  |q (electronic bk.) 
020 |z 9781573875295 
020 |z 1573875295 
035 |a (OCoLC)953847933  |z (OCoLC)958412394  |z (OCoLC)987410620  |z (OCoLC)1024274447  |z (OCoLC)1162007958  |z (OCoLC)1241880433 
037 |a 941290  |b MIL 
037 |a 8445AB3A-42C4-408F-A242-013BD2B5A94F  |b OverDrive, Inc.  |n http://www.overdrive.com 
050 4 |a QA76.9.D343 
072 7 |a COM  |x 000000  |2 bisacsh 
082 0 4 |a 006.312  |2 23 
049 |a UAMI 
100 1 |a Reamy, Tom,  |e author. 
245 1 0 |a Deep text :  |b using text analytics to conquer information overload, get real value from social media, and add big(ger) text to big data /  |c Tom Reamy. 
264 1 |a Medford, NJ :  |b Information Today, Inc.,  |c 2016. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
546 |a Text in English. 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
505 0 |a Introduction: Text analytics and text mining; What is text analytics?; Is deep learning the answer?; Text analytics, deep text, and context; Who am I?; Plan of the book -- Text analytics basics -- Getting started in text analytics -- Text analytics development -- Text analytics applications -- Enterprise text analytics as a platform. 
520 |a "Deep text is an approach to text analytics that adds depth to our ability to utilize a growing mass of unstructured text the world is drowning in. Here, author Tom Reamy explains what deep text is and surveys its many uses and benefits. He describes applications and development best practices, discusses business issues including ROI, provides how-to advice and instruction, and offers guidance on selecting software and building a text analytics capability within an organization. This is an important book for anyone who needs to be on the text analytics cutting edge, from developers and information professionals who create, manage, and curate text-based and Big Data projects to entrepreneurs and business managers looking to cut costs and create new revenue streams. Whether you want to harness a flood of social media content or turn a mountain of business information into an organized and useful asset, Deep Text will supply the insights and examples you'll need to do it effectively"--EBSCOHost 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
650 0 |a Data mining. 
650 0 |a Text processing (Computer science) 
650 0 |a Text files  |x Analysis. 
650 0 |a Big data. 
650 0 |a Social media. 
650 0 |a Electronic data processing. 
650 0 |a Word processing. 
650 0 |a Word processing operations. 
650 6 |a Exploration de données (Informatique) 
650 6 |a Traitement de texte. 
650 6 |a Fichiers textes  |x Analyse. 
650 6 |a Données volumineuses. 
650 6 |a Médias sociaux. 
650 7 |a social media.  |2 aat 
650 7 |a COMPUTERS  |x General.  |2 bisacsh 
650 7 |a Word processing operations  |2 fast 
650 7 |a Word processing  |2 fast 
650 7 |a Big data  |2 fast 
650 7 |a Data mining  |2 fast 
650 7 |a Electronic data processing  |2 fast 
650 7 |a Social media  |2 fast 
650 7 |a Text processing (Computer science)  |2 fast 
776 0 8 |i Print version:  |z 9781573875295  |z 1573875295  |w (DLC) 2016010975  |w (OCoLC)945804263 
856 4 0 |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1288208  |z Texto completo 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL4956015 
938 |a EBSCOhost  |b EBSC  |n 1288208 
938 |a ProQuest MyiLibrary Digital eBook Collection  |b IDEB  |n cis35326634 
938 |a YBP Library Services  |b YANK  |n 13085798 
994 |a 92  |b IZTAP