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Data mining methods for the content analyst : an introduction to the computational analysis of content /
With continuous advancements and an increase in user popularity, data mining technologies serve as an invaluable resource for researchers across a wide range of disciplines in the humanities and social sciences. In this comprehensive guide, author and research scientist Kalev Leetaru introduces the...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Routledge,
2012.
|
| Colección: | Routledge communication series
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cam a2200000Ii 4500 | ||
|---|---|---|---|
| 001 | OR_ocn949811302 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr unu|||||||| | ||
| 008 | 160513s2012 nyu ob 001 0 eng d | ||
| 010 | |z 2011026476 | ||
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| 019 | |a 979227851 | ||
| 020 | |z 9780415895132 | ||
| 020 | |a 9781136514586 | ||
| 020 | |a 1136514589 | ||
| 020 | |a 0415895138 | ||
| 020 | |a 9780415895132 | ||
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| 049 | |a UAMI | ||
| 100 | 1 | |a Leetaru, Kalev, |e author. | |
| 245 | 1 | 0 | |a Data mining methods for the content analyst : |b an introduction to the computational analysis of content / |c Kalev Hannes Leetaru. |
| 264 | 1 | |a New York, NY : |b Routledge, |c 2012. | |
| 300 | |a 1 online resource (1 volume) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 0 | |a Routledge communication series | |
| 588 | |a Description based on print version record. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Obtaining and preparing data -- Vocabulary analysis -- Correlation and co-occurrence -- Lexicons, entity extraction, and geocoding -- Topic extraction -- Sentiment analysis -- Similarity, categorization and clustering -- Network analysis. | |
| 520 | |a With continuous advancements and an increase in user popularity, data mining technologies serve as an invaluable resource for researchers across a wide range of disciplines in the humanities and social sciences. In this comprehensive guide, author and research scientist Kalev Leetaru introduces the approaches, strategies, and methodologies of current data mining techniques, offering insights for new and experienced users alike.Designed as an instructive reference to computer-based analysis approaches, each chapter of this resource explains a set of core concepts and analytical data m. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Data mining. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 7 | |a Data mining |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Leetaru, Kalev. |t Data mining methods for the content analyst. |d New York : Routledge, 2012 |z 9780415895132 |w (DLC) 2011026476 |w (OCoLC)731925041 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781136514586/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||