Text Mining kitap kapağı
Kitap başlığı:

Text Mining

Betascript Publishing (2013-09-04 )

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ISBN-13:

978-613-0-31901-4

ISBN-10:
6130319010
EAN:
9786130319014
Kitabın dili:
İngilizce
Özet:
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Text mining, sometimes alternately referred to as text data mining, roughly equivalent to text analytics, refers to the process of deriving high-quality information from text. High-quality information is typically derived through the divining of patterns and trends through means such as statistical pattern learning. Text mining usually involves the process of structuring the input text (usually parsing, along with the addition of some derived linguistic features and the removal of others, and subsequent insertion into a database), deriving patterns within the structured data, and finally evaluation and interpretation of the output. 'High quality' in text mining usually refers to some combination of relevance, novelty, and interestingness. Typical text mining tasks include text categorization, text clustering, concept/entity extraction, production of granular taxonomies, sentiment analysis, document summarization, and entity relation modeling (i.e., learning relations between named entities).
Yayınevi:
Betascript Publishing
Websitesi:
https://www.betascript-publishing.com/
Düzenleyen:
Lambert M. Surhone, Mariam T. Tennoe, Susan F. Henssonow
Sayfa sayısı:
68
Yayın tarihi:
2013-09-04
Hisse:
Mevcut
Kategori:
Bilişim, BT
Fiyat:
29.00 €
Anahtar kelimeler:
Data Mining, Text Analytics, pattern recognition, Database, Automatic Summarization, Sentiment Analysis, Non-Negative Matrix Factorization

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