Text Mining

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

Posted by tanas.olesya at Sept. 27, 2016
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications by John Elder IV
English | 18 Feb. 2012 | ISBN: 012386979X | 1055 Pages | PDF | 203 MB

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis.

Fundamentals of Predictive Text Mining (Repost)  eBooks & eLearning

Posted by leonardo78 at Sept. 15, 2016
Fundamentals of Predictive Text Mining (Repost)

Fundamentals of Predictive Text Mining by Sholom M. Weiss, Nitin Indurkhya, Tong Zhang
Publisher: Springer | 2010 | ISBN: 1849962251 | 226 pages | PDF | 2,9 MB

One consequence of the pervasive use of computers is that most documents originate in digital form. Widespread use of the Internet makes them readily available. Text mining – the process of analyzing unstructured natural-language text – is concerned with how to extract information from these documents.

Natural Language Processing and Text Mining (Repost)  

Posted by manamba13 at Jan. 27, 2015
Natural Language Processing and Text Mining (Repost)

Natural Language Processing and Text Mining by Anne Kao
English | 2007 | ISBN: 184628175X | 272 Pages | PDF | 4 MB

Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP.
Технологии анализа данных. Data Mining, Visual Mining, Text Mining, OLAP (Repost)

Технологии анализа данных. Data Mining, Visual Mining, Text Mining, OLAP - Иван Холод
2007 | ISBN: 5941579918 | DJVU | 2-е издание | 384 pages | 6.4 Mb

Книга является вторым, обновленным и дополненным, изданием учебного пособия в котором излагаются основные направления в области разработки корпоративных систем: организация хранилищ данных, распределенный, оперативный (OLAP), интеллектуальный (Data Mining), визуальный (Visual Mining) и текстовый (Text Mining) анализ данных.
Text Mining: Classification, Clustering, and Applications (repost)

Ashok Srivastava, Mehran Sahami, "Text Mining: Classification, Clustering, and Applications"
English | 2009-06-15 | ISBN: 1420059408 | 328 pages | PDF | 3,6 MB

Giving a broad perspective of the field from numerous vantage points, Text Mining focuses on statistical methods for text mining and analysis. It examines methods to automatically cluster and classify text documents and applies these methods in a variety of areas, including adaptive information filtering, information distillation, and text search. The book begins with the classification of documents into predefined categories and then describes novel methods for clustering documents into groups that are not predefined. It concludes with various text mining applications that have significant implications for future research and industrial use.
Технологии анализа данных. Data Mining, Visual Mining, Text Mining, OLAP

Технологии анализа данных. Data Mining, Visual Mining, Text Mining, OLAP
DJVU + CD | 384 Стр. | ISBN: 5941579918 | Издатель: БХВ-Петербург | Серия: Учебное пособие | 2007 | 6 Mb + 78 Mb

Книга является вторым, обновленным и дополненным, изданием учебного пособия «Методы и модели анализа данных. OLAP и Data Mining». Излагаются основные направления в области разработки корпоративных систем: организация хранилищ данных, распределенный, оперативный (OLAP), интеллектуальный (Data Mining), визуальный (Visual Mining) и текстовый (Text Mining) анализ данных. Приведено описание методов и алгоритмов решения основных задач анализа: классификации, кластеризации и др. Описание идеи каждого метода дополняется конкретным примером его применения.
Прилагается компакт-диск, содержащий стандарты Data Mining, библиотеку алгоритмов Xelopes, лабораторный практикум по интеллектуальному анализу данных и соответствующее программное обеспечение.
Text Mining for Qualitative Data Analysis in the Social Sciences: A Study on Democratic Discourse in Germany

Text Mining for Qualitative Data Analysis in the Social Sciences: A Study on Democratic Discourse in Germany (Kritische Studien zur Demokratie) by Gregor Wiedemann
2016 | ISBN: 3658153083 | English | 294 pages | PDF | 10 MB

Text Mining & Natural Language Understanding at Scale Training Video  eBooks & eLearning

Posted by IrGens at Sept. 16, 2016
Text Mining & Natural Language Understanding at Scale Training Video

Text Mining & Natural Language Understanding at Scale Training Video
2016-07-27 | SKU: 02392 | .MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 128 kbps, 2 Ch | 2.25 hours | 871 MB
Instructors: David Talby, Claudiu Branzan

Knowledge Transfer between Computer Vision and Text Mining  eBooks & eLearning

Posted by Underaglassmoon at June 15, 2016
Knowledge Transfer between Computer Vision and Text Mining

Knowledge Transfer between Computer Vision and Text Mining: Similarity-based Learning Approaches
Springer | Artificial Intelligence | April 26, 2016 | ISBN-10: 3319303651 | 250 pages | pdf | 6.18 mb

Authors: Ionescu, Radu Tudor, Popescu, Marius
Provides a novel perspective on image analysis and text processing, presenting the scientific justification for treating the two disciplines in a similar manner
Offers open source code for the techniques in the book at an associated website
Reviews state-of-the-art similarity-based learning approaches, including nearest neighbor models, kernel methods and clustering algorithms

Text Mining: Classification, Clustering, and Applications  eBooks & eLearning

Posted by tanas.olesya at April 26, 2016
Text Mining: Classification, Clustering, and Applications

Text Mining: Classification, Clustering, and Applications by Ashok N. Srivastava
English | June 15, 2009 | ISBN: 1420059475 | 308 Pages | PDF | 4 MB

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.