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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # DB-9783031007828
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Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 88 pages. 9.25x7.51x9.25 inches. In Stock. This item is printed on demand. Seller Inventory # __3031007824
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Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A lot of digital ink has been spilled on 'big data' over the past few years. Most of this surge owes its origin to the various types of unstructured data in the wild, among which the proliferation of text-heavy data is particularly overwhelming, attributed to the daily use of web documents, business reviews, news, social posts, etc., by so many people worldwide.A core challenge presents itself: How can one efficiently and effectively turn massive, unstructured text into structured representation so as to further lay the foundation for many other downstream text mining applications In this book, we investigated one promising paradigm for representing unstructured text, that is, through automatically identifying high-quality phrases from innumerable documents. In contrast to a list of frequent n-grams without proper filtering, users are often more interested in results based on variable-length phrases with certain semantics such as scientific concepts, organizations, slogans,and so on. We propose new principles and powerful methodologies to achieve this goal, from the scenario where a user can provide meaningful guidance to a fully automated setting through distant learning. This book also introduces applications enabled by the mined phrases and points out some promising research directions. 92 pp. Englisch. Seller Inventory # 9783031007828
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