Atur jumlah dan catatan
Stok Total: 50
Subtotal
Rp25.000
BUKU ELEKTRONIK Social Network Analysis and Text Mining for Big Data: The Power of Words and Networks
Rp25.000
- Kondisi: Baru
- Min. Pemesanan: 1 Buah
- Etalase: Semua Etalase
1.Ini adalah BUKU ELEKTRONIK WAJIB MENGGUNAKAN KURIR.
2.File dibagikan lewat 3mail. Harap cantumkan alamat 3mail di CATATAN.
3.File full version PDF, EPUB, MOBI, AZW3, DJVU (Sesuai ketersediaan).
4.Request Buku hubungi kami melalui chat. Sebutkan JUDUL,EDISI,PENGARANG
5. Semua Transaksi WAJIB MELALUI TOKOPEDIA.
Sinopsis
Social Network Analysis and Text Mining for Big Data presents cutting-edge methods and tools that bridge the gap between text mining and social network analysis research while also providing new insights for analyzing (big) textual and network data. These tools are designed to cater to the needs of both business analysts and researchers to facilitate the creation of groundbreaking analytics.
Beginning with clear definitions of social network analysis and text mining, this book benefits from a thoughtfully curated selection of methods and tools, drawn from the authors’ extensive research in the field. The focus then shifts to demonstrate how the interplay between words and networks can unlock the full potential of big data analytics. A centerpiece of the book is the Semantic Brand Score (SBS), a versatile and powerful metric for assessing brand importance through text analysis. All of the above is corroborated and illustrated with practical applications and case studies showing the value of these analytics in supporting change and improved managerial decisions. It also introduces a specialized software tool which enables users to perform the analyses detailed in the text.
2.File dibagikan lewat 3mail. Harap cantumkan alamat 3mail di CATATAN.
3.File full version PDF, EPUB, MOBI, AZW3, DJVU (Sesuai ketersediaan).
4.Request Buku hubungi kami melalui chat. Sebutkan JUDUL,EDISI,PENGARANG
5. Semua Transaksi WAJIB MELALUI TOKOPEDIA.
Sinopsis
Social Network Analysis and Text Mining for Big Data presents cutting-edge methods and tools that bridge the gap between text mining and social network analysis research while also providing new insights for analyzing (big) textual and network data. These tools are designed to cater to the needs of both business analysts and researchers to facilitate the creation of groundbreaking analytics.
Beginning with clear definitions of social network analysis and text mining, this book benefits from a thoughtfully curated selection of methods and tools, drawn from the authors’ extensive research in the field. The focus then shifts to demonstrate how the interplay between words and networks can unlock the full potential of big data analytics. A centerpiece of the book is the Semantic Brand Score (SBS), a versatile and powerful metric for assessing brand importance through text analysis. All of the above is corroborated and illustrated with practical applications and case studies showing the value of these analytics in supporting change and improved managerial decisions. It also introduces a specialized software tool which enables users to perform the analyses detailed in the text.
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