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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 :
Routledge,
2012.
|
| Colección: | Routledge communication series.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Leetaru, Kalev. | |
| 245 | 1 | 0 | |a Data mining methods for the content analyst : |b an introduction to the computational analysis of content / |c Kalev Hannes Leetaru. |
| 260 | |a New York : |b Routledge, |c 2012. | ||
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| 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. | ||
| 545 | 0 | |a Kalev Leetaru is Senior Research Scientist for Content Analysis at the University of Illinois Institute for Computing in Humanities, Arts, and Social Science and Center Affiliate of the National Center for Supercomputing Applications. He leads a number of large initiatives centering on the application of high performance computing to grand challenge problems using massive-scale document and data archives. | |
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| 650 | 7 | |a SOCIAL SCIENCE / Methodology |2 bisacsh | |
| 650 | 7 | |a SOCIAL SCIENCE / Media Studies |2 bisacsh | |
| 650 | 7 | |a Data mining |2 fast | |
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