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Text Mining with R

2017-06-12 Computers
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Release : 2017-06-12
Genre : Computers
Kind : eBook
Book Rating : 628/5 ( reviews)

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Book Synopsis Text Mining with R by : Julia Silge

Download or read book Text Mining with R written by Julia Silge. This book was released on 2017-06-12. Available in PDF, EPUB and Kindle. Book excerpt: Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Favorites and Retweets; Summary; Chapter 8. Case Study : Mining NASA Metadata; How Data Is Organized at NASA; Wrangling and Tidying the Data; Some Initial Simple Exploration; Word Co-ocurrences and Correlations; Networks of Description and Title Words; Networks of Keywords; Calculating tf-idf for the Description Fields; What Is tf-idf for the Description Field Words?; Connecting Description Fields to Keywords; Topic Modeling.

Text Mining

2018-06-07 Technology & Engineering
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Release : 2018-06-07
Genre : Technology & Engineering
Kind : eBook
Book Rating : 15X/5 ( reviews)

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Book Synopsis Text Mining by : Taeho Jo

Download or read book Text Mining written by Taeho Jo. This book was released on 2018-06-07. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. The author provides the guidelines for implementing text mining systems in Java, as well as concepts and approaches. The book starts by providing detailed text preprocessing techniques and then goes on to provide concepts, the techniques, the implementation, and the evaluation of text categorization. It then goes into more advanced topics including text summarization, text segmentation, topic mapping, and automatic text management.

Clinical Text Mining

2018-05-14 Computers
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Release : 2018-05-14
Genre : Computers
Kind : eBook
Book Rating : 036/5 ( reviews)

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Book Synopsis Clinical Text Mining by : Hercules Dalianis

Download or read book Clinical Text Mining written by Hercules Dalianis. This book was released on 2018-05-14. Available in PDF, EPUB and Kindle. Book excerpt: This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The difference between rule-based and machine learning-based methods, as well as between supervised and unsupervised machine learning methods, are also explained. Next, ethical concerns regarding the use of sensitive patient records for research purposes are discussed, including methods for de-identifying electronic patient records and safely storing patient records. The book’s closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters. The book provides a comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics, computational linguistics, and information retrieval, and for researchers entering these fields.

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

2012-01-11 Computers
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Release : 2012-01-11
Genre : Computers
Kind : eBook
Book Rating : 79X/5 ( reviews)

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Book Synopsis Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications by : Gary Miner

Download or read book Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications written by Gary Miner. This book was released on 2012-01-11. Available in PDF, EPUB and Kindle. Book excerpt: "The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities"--

The Text Mining Handbook

2007 Computers
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Release : 2007
Genre : Computers
Kind : eBook
Book Rating : 573/5 ( reviews)

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Book Synopsis The Text Mining Handbook by : Ronen Feldman

Download or read book The Text Mining Handbook written by Ronen Feldman. This book was released on 2007. Available in PDF, EPUB and Kindle. Book excerpt: Publisher description

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