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HKSYU Library

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    LEADER 02342cam a2200409 i 4500
    001
    991008210869307546
    005
    20240307103025.0
    008
    160104s2017 caua b 001 0 eng d
    010
     
     
    a| 2015044977
    020
     
     
    a| 9781483369341 q| (pbk. : alk. paper)
    020
     
     
    a| 148336934X q| (pbk. : alk. paper)
    035
     
     
    a| (cuhknz)b61115010-852julac_network
    035
     
     
    a| (julac-retro)16457132
    040
     
     
    a| DLC b| eng e| rda c| DLC d| OCLCO d| YDXCP d| BTCTA d| BDX d| OCLCQ d| CDX d| CHVBK d| OCLCO d| CVU d| HK-SYU
    042
     
     
    a| pcc
    050
    0
    0
    a| H61.3 b| .I395 2017
    082
    0
    0
    a| 300.72/1 2| 23
    092
    0
     
    a| 300.721 b| IGA 2017
    100
    1
     
    a| Ignatow, Gabe, e| author.
    245
    1
    0
    a| Text mining : b| a guidebook for the social sciences / c| Gabe Ignatow, University of North Texas, Rada Mihalcea, University of Michigan.
    246
    3
    0
    a| Guidebook for the social sciences
    264
     
    1
    a| Thousand Oaks, California : b| SAGE Publications, Inc., c| [2017]
    300
     
     
    a| xvi, 188 pages : b| illustrations ; c| 24 cm
    336
     
     
    a| text b| txt 2| rdacontent
    337
     
     
    a| unmediated b| n 2| rdamedia
    338
     
     
    a| volume b| nc 2| rdacarrier
    504
     
     
    a| Includes bibliographical references (pages 168-182) and index.
    520
     
     
    a| Online communities generate massive volumes of natural language data and the social sciences continue to learn how to best make use of this new information and the technology available for analyzing it. Text Mining brings together a broad range of contemporary qualitative and quantitative methods to provide strategic and practical guidance on analyzing large text collections. This accessible book, written by a sociologist and a computer scientist, surveys the fast-changing landscape of data sources, programming languages, software packages, and methods of analysis available today. Suitable for novice and experienced researchers alike, the book will help readers use text mining techniques more efficiently and productively c| WorldCat
    650
     
    0
    a| Social sciences x| Research x| Methodology.
    650
     
    0
    a| Discourse analysis x| Data processing.
    650
     
    0
    a| Communication x| Network analsysis.
    650
     
    0
    a| Natural language processing (Computer science)
    650
     
    0
    a| Data mining.
    700
    1
     
    a| Mihalcea, Rada, d| 1974- e| author.
    910
     
     
    b| kkl c| wsl
    998
     
     
    a| book b| 07-03-24
    945
     
     
    h| Supplement l| location i| barcode y| id f| bookplate a| callnoa b| callnob n| FINT300