Applied Text Mining

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Applied Text Mining

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Author : Usman Qamar
language : en
Publisher: Springer
Release Date : 2024-04-01

Applied Text Mining written by Usman Qamar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-01 with Computers categories.

This textbook covers the concepts, theories, and implementations of text mining and natural language processing (NLP). It covers both the theory and the practical implementation, and every concept is explained with simple and easy-to-understand examples. It consists of three parts. In Part 1 which consists of three chapters details about basic concepts and applications of text mining are provided, including eg sentiment analysis and opinion mining. It builds a strong foundation for the reader in order to understand the remaining parts. In the five chapters of Part 2, all the core concepts of text analytics like feature engineering, text classification, text clustering, text summarization, topic mapping, and text visualization are covered. Finally, in Part 3 there are three chapters covering deep-learning-based text mining, which is the dominating method applied to practically all text mining tasks nowadays. Various deep learning approaches to text mining are covered, including models for processing and parsing text, for lexical analysis, and for machine translation. All three parts include large parts of Python code that shows the implementation of the described concepts and approaches. The textbook was specifically written to enable the teaching of both basic and advanced concepts from one single book. The implementation of every text mining task is carefully explained, based Python as the programming language and Spacy and NLTK as Natural Language Processing libraries. The book is suitable for both undergraduate and graduate students in computer science and engineering.

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language : en
Publisher:
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written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

Applied Text Mining Techniques For Constructing Knowledge Map Of Traveling Disputes

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Author : 梁呈彰
language : en
Publisher:
Release Date : 2014

Applied Text Mining Techniques For Constructing Knowledge Map Of Traveling Disputes written by 梁呈彰 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.

Text Mining With Machine Learning

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Author : Jan Žižka
language : en
Publisher: CRC Press
Release Date : 2019-10-31

Text Mining With Machine Learning written by Jan Žižka and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-31 with Computers categories.

This book provides a perspective on the application of machine learning-based methods in knowledge discovery from natural languages texts. By analysing various data sets, conclusions which are not normally evident, emerge and can be used for various purposes and applications. The book provides explanations of principles of time-proven machine learning algorithms applied in text mining together with step-by-step demonstrations of how to reveal the semantic contents in real-world datasets using the popular R-language with its implemented machine learning algorithms. The book is not only aimed at IT specialists, but is meant for a wider audience that needs to process big sets of text documents and has basic knowledge of the subject, e.g. e-mail service providers, online shoppers, librarians, etc. The book starts with an introduction to text-based natural language data processing and its goals and problems. It focuses on machine learning, presenting various algorithms with their use and possibilities, and reviews the positives and negatives. Beginning with the initial data pre-processing, a reader can follow the steps provided in the R-language including the subsuming of various available plug-ins into the resulting software tool. A big advantage is that R also contains many libraries implementing machine learning algorithms, so a reader can concentrate on the principal target without the need to implement the details of the algorithms her- or himself. To make sense of the results, the book also provides explanations of the algorithms, which supports the final evaluation and interpretation of the results. The examples are demonstrated using realworld data from commonly accessible Internet sources.

Natural Language Processing And Text Mining

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Author : Anne Kao
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-03-06

Natural Language Processing And Text Mining written by Anne Kao and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-03-06 with Computers categories.

The topic this book addresses originated from a panel discussion at the 2004 ACM SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining) Conference held in Seattle, Washington, USA. We the editors or- nized the panel to promote discussion on how text mining and natural l- guageprocessing,tworelatedtopicsoriginatingfromverydi?erentdisciplines, can best interact with each other, and bene?t from each other’s strengths. It attracted a great deal of interest and was attended by 200 people from all over the world. We then guest-edited a special issue of ACM SIGKDD Exp- rations on the same topic, with a number of very interesting papers. At the same time, Springer believed this to be a topic of wide interest and expressed an interest in seeing a book published. After a year of work, we have put - gether 11 papers from international researchers on a range of techniques and applications. We hope this book includes papers readers do not normally ?nd in c- ference proceedings, which tend to focus more on theoretical or algorithmic breakthroughs but are often only tried on standard test data. We would like to provide readers with a wider range of applications, give some examples of the practical application of algorithms on real-world problems, as well as share a number of useful techniques.

Text Mining

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Author : Sholom M. Weiss
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-01-08

Text Mining written by Sholom M. Weiss and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-08 with Computers categories.

Data mining is a mature technology. The prediction problem, looking for predictive patterns in data, has been widely studied. Strong me- ods are available to the practitioner. These methods process structured numerical information, where uniform measurements are taken over a sample of data. Text is often described as unstructured information. So, it would seem, text and numerical data are different, requiring different methods. Or are they? In our view, a prediction problem can be solved by the same methods, whether the data are structured - merical measurements or unstructured text. Text and documents can be transformed into measured values, such as the presence or absence of words, and the same methods that have proven successful for pred- tive data mining can be applied to text. Yet, there are key differences. Evaluation techniques must be adapted to the chronological order of publication and to alternative measures of error. Because the data are documents, more specialized analytical methods may be preferred for text. Moreover, the methods must be modi?ed to accommodate very high dimensions: tens of thousands of words and documents. Still, the central themes are similar.

Advanced Text Mining And Applied Principles

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Author : Mick Benson
language : en
Publisher:
Release Date : 2015-02-04

Advanced Text Mining And Applied Principles written by Mick Benson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-04 with Text processing (Computer science) categories.

This book discusses the topic of advanced text mining and applied principles in detail. Due to the development of computer and web technologies, we are now able to easily compile and store huge amounts of text data. It is believed that data consists of valuable knowledge. Text mining techniques have been dynamically analyzed for the extraction of knowledge from data since late 1990s. Even though many vital methods have been formulated, the text mining research field continues to expand for the needs emerging from distinct application fields. This book provides an introduction of advanced text mining techniques ranging from relation extraction to under or less resourced language. It aims at providing the readers with novel information about the field and assists them in exploring new research fields.

Text Mining Investigation Of Scale Assessment Within Clinical Trials

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Author : Allison Renee Mentele
language : en
Publisher:
Release Date : 2006

Text Mining Investigation Of Scale Assessment Within Clinical Trials written by Allison Renee Mentele and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Data mining categories.

Text Mining

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Author : Gholamreza Nakhaeizadeh
language : en
Publisher: Physica
Release Date : 2003-03-18

Text Mining written by Gholamreza Nakhaeizadeh and has been published by Physica this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-03-18 with Computers categories.

Text Mining – Theoretical Aspects and Applications presents contributions from researchers from different disciplines. Each of them is studying the problem of mining text according to his scientific background: artificial intelligence, computational linguistics, document analysis, machine learning, information retrieval, pattern recognition. Their common goal is to analyse huge text collections in real world applications in order to support knowledge-intensive processes.

Natural Language Processing And Text Mining

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Author : Anne Kao
language : en
Publisher: Springer
Release Date : 2009-10-12

Natural Language Processing And Text Mining written by Anne Kao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-12 with Computers categories.

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. It assembles a diverse views from internationally recognized researchers and emphasizes caveats in the attempt to apply Natural Language Processing to text mining. This state-of-the-art survey is a must-have for advanced students, professionals, and researchers.