Phrase Mining from Massive Text and its Applications

✍ Scribed by Jialu Liu, Jingbo Shang, Jiawei Han

Publisher: Morgan & Claypool
Year: 2017
Tongue: English
Leaves: 82
Series: Synthesis Lectures on Data Mining and Knowledge Discovery
Category: Library

⬇ Acquire This Volume

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Text Mining and its Applications: Result

📁 Text Mining and its Applications: Results of the NEMIS Launch Conference

✍ Spiros Sirmakessis (auth.), Dr. Spiros Sirmakessis (eds.) 📂 Library 📅 2004 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

The world of text mining is simultaneously a minefield and a gold mine. Text Mining is a rapidly developing applications field and an area of scientific research, using techniques from well-established scientific fields such as data mining, machine learning, information retrieval, natural lang

Multidimensional Mining of Massive Text

📁 Multidimensional Mining of Massive Text Data

✍ Chao Zhang, Jiawei Han 📂 Library 📅 2019 🏛 Morgan & Claypool 🌐 English

Unstructured text, as one of the most important data forms, plays a crucial role in data-driven decision making in domains ranging from social networking and information retrieval to scientific research and healthcare informatics. In many emerging applications, people's information need from text da

Text Mining: From Ontology Learning to A

📁 Text Mining: From Ontology Learning to Automated Text Processing Applications

✍ Chris Biemann, Alexander Mehler (eds.) 📂 Library 📅 2014 🏛 Springer International Publishing 🌐 English

This book comprises a set of articles that specify the methodology of text mining, describe the creation of lexical resources in the framework of text mining and use text mining for various tasks in natural language processing (NLP). The analysis of large amounts of textual data is a prerequis

Text Mining: Applications and Theory

📁 Text Mining: Applications and Theory

✍ Michael W. Berry, Jacob Kogan 📂 Library 📅 2010 🏛 Wiley 🌐 English

Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the

Text mining : applications and theory

📁 Text mining : applications and theory

✍ Kogan, Jacob; Berry, Michael W 📂 Library 📅 2010 🏛 John Wiley & Sons 🌐 English

Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrat

Text Mining: Classification, Clustering,

📁 Text Mining: Classification, Clustering, and Applications

✍ Ashok Srivastava, Mehran Sahami 📂 Library 📅 2009 🏛 Chapman & Hall/CRC 🌐 English

The Definitive Resource on Text Mining Theory and Applications from Foremost Researchers in the Field Giving a broad perspective of the field from numerous vantage points, Text Mining: Classification, Clustering, and Applications focuses on statistical methods for text mining and analysis. It exami