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.

Phrase Mining from Massive Text and Its Applications (Synthesis Lectures on Data Mining and Knowledge Discovery)

Computers & Technology

Han,Jiawei

Liu, Jialu

Shang, Jingbo

Computer Science

Morgan & Claypool Publishers

The writers of the series are all famous and typical ones in the field of picture book such as Hao Guangcai who is the first Asian judge of Bologna Ragazzi Award, Liu Jialu, a writer who abides by the words that fairy tale is the happiest language in the world, etc. The illustrators are all international masters such as Russian illustrator Igor Oleynikov who wins international awards for many times, Italian Giuliano Ferri, the color magician, etc. The series will take you unexpected joy and happiness of reading.

Who is the First Among Twelve Chinese Zodiac Signs (Chinese Edition)

Haiyan press

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Books by Liu, Jialu