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Methods for Mining and Summarizing Text Conversations

and mining methods for performing subjectivity and sentiment detection, topic segmentation and modeling, and the extraction of conversational;

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Text Mining: A Guidebook for the Social Sciences

This practical book provides researchers strategic and practical guidance on using text mining methods to analyze large text collections;

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Text Mining

framework of text mining and use text mining for various tasks in natural language processing (NLP). The analysis of large amounts of textual data;

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Machine Learning and Data Mining in Pattern Recognition

classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image;

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Advanced Text Mining and Applied Principles

This book discusses the topic of advanced text mining and applied principles in detail. Due to the development of computer and web;

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Data Mining

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge;

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Machine Learning and Data Mining in Pattern Recognition

data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.;

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Machine Learning and Data Mining in Pattern Recognition

specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.;

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Machine Learning and Data Mining in Pattern Recognition

mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.;

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Machine Learning and Data Mining in Pattern Recognition

for the different multimedia data types such as image mining, text mining, video mining and Web mining.;

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Data Mining

and testing, as well as on interpreting and validating results. The text guides students to understand how data mining can be employed to;

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The Synoptic Text Today and Other Essays

synoptic text, summarizing recent and relevant research in the academic disciplines toward the subjective and social reconstruction of the public;

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Text Mining with MATLAB (R)

, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and its complex applications;

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Mining Text Data

designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level;

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Mining Text Data

designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level;

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Environmental Issues of Deep-Sea Mining

, and also suggests various approaches for environmental management when conducting deep-sea mining. The volume brings together information and;

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Data Mining for Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts;

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Mining the Biomedical Literature

categorization; and methods for empirically assessing text-mining systems. Finally, the authors describe several applications that recognize entities;

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Machine Learning and Data Mining in Pattern Recognition

, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video;

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Big Data, Mining, and Analytics

approaches for decision making, including dashboards, OLAP cubes, data mining, and text mining. Includes a foreword by Thomas H. Davenport;

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Big Data, Mining, and Analytics

approaches for decision making, including dashboards, OLAP cubes, data mining, and text mining. Includes a foreword by Thomas H. Davenport;

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Matrix Methods in Data Mining and Pattern Recognition

Mining and Pattern Recognition, Second Edition is primarily for undergraduate students who have previously taken an introductory scientific;

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Clinical Text Mining

comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics;

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Practical Text Mining with Perl

book's student-friendly format. Practical Text Mining with Perl is ideal as a textbook for undergraduate and graduate courses in text mining;

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Data Mining for Bioinformatics Applications

preprocessing to modeling and result validation. Provides valuable information on the data mining methods have been widely used for solving;

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Text Mining with MATLAB (R)

practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and its complex;

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Data Mining for Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and;

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