Aspects Of Automatic Text Analysis

Author : Alexander Mehler,Reinhard Köhler
Publisher : Springer Science & Business Media
Page : 450 pages
File Size : 43,7 Mb
Release : 2007-06-24
Category : Technology & Engineering
ISBN : 9783540375227

Get Book

Aspects of Automatic Text Analysis by Alexander Mehler,Reinhard Köhler Pdf

This book presents recent developments in automatic text analysis. Providing an overview of linguistic modeling, it collects contributions of authors from a multidisciplinary area that focus on the topic of automatic text analysis from different perspectives. It includes chapters on cognitive modeling and visual systems modeling, and contributes to the computational linguistic and information theoretical grounding of automatic text analysis.

Author : Alexander Mehler,Reinhard Köhler
Publisher : Springer Science & Business Media
Page : 450 pages
File Size : 48,5 Mb
Release : 2007
Category : Computers
ISBN : 9783540375203

Get Book

Aspects of Automatic Text Analysis by Alexander Mehler,Reinhard Köhler Pdf

This book presents recent developments in automatic text analysis. Providing an overview of linguistic modeling, it collects contributions of authors from a multidisciplinary area that focus on the topic of automatic text analysis from different perspectives. It includes chapters on cognitive modeling and visual systems modeling, and contributes to the computational linguistic and information theoretical grounding of automatic text analysis.

Author : Chengqing Zong,Rui Xia,Jiajun Zhang
Publisher : Springer Nature
Page : 363 pages
File Size : 43,6 Mb
Release : 2021-05-22
Category : Computers
ISBN : 9789811601002

Get Book

Text Data Mining by Chengqing Zong,Rui Xia,Jiajun Zhang Pdf

This book discusses various aspects of text data mining. Unlike other books that focus on machine learning or databases, it approaches text data mining from a natural language processing (NLP) perspective. The book offers a detailed introduction to the fundamental theories and methods of text data mining, ranging from pre-processing (for both Chinese and English texts), text representation and feature selection, to text classification and text clustering. It also presents the predominant applications of text data mining, for example, topic modeling, sentiment analysis and opinion mining, topic detection and tracking, information extraction, and automatic text summarization. Bringing all the related concepts and algorithms together, it offers a comprehensive, authoritative and coherent overview. Written by three leading experts, it is valuable both as a textbook and as a reference resource for students, researchers and practitioners interested in text data mining. It can also be used for classes on text data mining or NLP.

Author : Justin Grimmer,Margaret E. Roberts,Brandon M. Stewart
Publisher : Princeton University Press
Page : 360 pages
File Size : 45,9 Mb
Release : 2022-03-29
Category : Computers
ISBN : 9780691207551

Get Book

Text as Data by Justin Grimmer,Margaret E. Roberts,Brandon M. Stewart Pdf

A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry

Author : Henning Wachsmuth
Publisher : Springer
Page : 302 pages
File Size : 55,6 Mb
Release : 2015-12-02
Category : Computers
ISBN : 9783319257419

Get Book

Text Analysis Pipelines by Henning Wachsmuth Pdf

This monograph proposes a comprehensive and fully automatic approach to designing text analysis pipelines for arbitrary information needs that are optimal in terms of run-time efficiency and that robustly mine relevant information from text of any kind. Based on state-of-the-art techniques from machine learning and other areas of artificial intelligence, novel pipeline construction and execution algorithms are developed and implemented in prototypical software. Formal analyses of the algorithms and extensive empirical experiments underline that the proposed approach represents an essential step towards the ad-hoc use of text mining in web search and big data analytics. Both web search and big data analytics aim to fulfill peoples’ needs for information in an adhoc manner. The information sought for is often hidden in large amounts of natural language text. Instead of simply returning links to potentially relevant texts, leading search and analytics engines have started to directly mine relevant information from the texts. To this end, they execute text analysis pipelines that may consist of several complex information-extraction and text-classification stages. Due to practical requirements of efficiency and robustness, however, the use of text mining has so far been limited to anticipated information needs that can be fulfilled with rather simple, manually constructed pipelines.

Author : Domenica Fioredistella Iezzi,Damon Mayaffre,Michelangelo Misuraca
Publisher : Springer Nature
Page : 298 pages
File Size : 46,9 Mb
Release : 2020-11-24
Category : Social Science
ISBN : 9783030526801

Get Book

Text Analytics by Domenica Fioredistella Iezzi,Damon Mayaffre,Michelangelo Misuraca Pdf

Focusing on methodologies, applications and challenges of textual data analysis and related fields, this book gathers selected and peer-reviewed contributions presented at the 14th International Conference on Statistical Analysis of Textual Data (JADT 2018), held in Rome, Italy, on June 12-15, 2018. Statistical analysis of textual data is a multidisciplinary field of research that has been mainly fostered by statistics, linguistics, mathematics and computer science. The respective sections of the book focus on techniques, methods and models for text analytics, dictionaries and specific languages, multilingual text analysis, and the applications of text analytics. The interdisciplinary contributions cover topics including text mining, text analytics, network text analysis, information extraction, sentiment analysis, web mining, social media analysis, corpus and quantitative linguistics, statistical and computational methods, and textual data in sociology, psychology, politics, law and marketing.

Author : Chris Biemann,Alexander Mehler
Publisher : Springer
Page : 238 pages
File Size : 41,8 Mb
Release : 2014-12-19
Category : Computers
ISBN : 9783319126555

Get Book

Text Mining by Chris Biemann,Alexander Mehler Pdf

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 prerequisite to build lexical resources such as dictionaries and ontologies and also has direct applications in automated text processing in fields such as history, healthcare and mobile applications, just to name a few. This volume gives an update in terms of the recent gains in text mining methods and reflects the most recent achievements with respect to the automatic build-up of large lexical resources. It addresses researchers that already perform text mining, and those who want to enrich their battery of methods. Selected articles can be used to support graduate-level teaching. The book is suitable for all readers that completed undergraduate studies of computational linguistics, quantitative linguistics, computer science and computational humanities. It assumes basic knowledge of computer science and corpus processing as well as of statistics.

Author : Matthew L. Jockers,Rosamond Thalken
Publisher : Springer Nature
Page : 277 pages
File Size : 53,7 Mb
Release : 2020-03-30
Category : Computers
ISBN : 9783030396435

Get Book

Text Analysis with R by Matthew L. Jockers,Rosamond Thalken Pdf

Now in its second edition, Text Analysis with R provides a practical introduction to computational text analysis using the open source programming language R. R is an extremely popular programming language, used throughout the sciences; due to its accessibility, R is now used increasingly in other research areas. In this volume, readers immediately begin working with text, and each chapter examines a new technique or process, allowing readers to obtain a broad exposure to core R procedures and a fundamental understanding of the possibilities of computational text analysis at both the micro and the macro scale. Each chapter builds on its predecessor as readers move from small scale “microanalysis” of single texts to large scale “macroanalysis” of text corpora, and each concludes with a set of practice exercises that reinforce and expand upon the chapter lessons. The book’s focus is on making the technical palatable and making the technical useful and immediately gratifying. Text Analysis with R is written with students and scholars of literature in mind but will be applicable to other humanists and social scientists wishing to extend their methodological toolkit to include quantitative and computational approaches to the study of text. Computation provides access to information in text that readers simply cannot gather using traditional qualitative methods of close reading and human synthesis. This new edition features two new chapters: one that introduces dplyr and tidyr in the context of parsing and analyzing dramatic texts to extract speaker and receiver data, and one on sentiment analysis using the syuzhet package. It is also filled with updated material in every chapter to integrate new developments in the field, current practices in R style, and the use of more efficient algorithms.

Author : Gholamreza Nakhaeizadeh,Ingrid Renz
Publisher : Physica
Page : 184 pages
File Size : 52,8 Mb
Release : 2003-03-18
Category : Computers
ISBN : UOM:39015052662668

Get Book

Text Mining by Gholamreza Nakhaeizadeh,Ingrid Renz Pdf

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.

Author : Gerard Salton
Publisher : Addison Wesley Publishing Company
Page : 552 pages
File Size : 48,6 Mb
Release : 1989
Category : Computers
ISBN : UOM:35128001034329

Get Book

Automatic Text Processing by Gerard Salton Pdf

Author : Alexander Mehler,Kai-Uwe Kühnberger,Henning Lobin,Harald Lüngen,Angelika Storrer,Andreas Witt
Publisher : Springer
Page : 398 pages
File Size : 53,6 Mb
Release : 2011-10-14
Category : Technology & Engineering
ISBN : 9783642226137

Get Book

Modeling, Learning, and Processing of Text-Technological Data Structures by Alexander Mehler,Kai-Uwe Kühnberger,Henning Lobin,Harald Lüngen,Angelika Storrer,Andreas Witt Pdf

Researchers in many disciplines have been concerned with modeling textual data in order to account for texts as the primary information unit of written communication. The book “Modelling, Learning and Processing of Text-Technological Data Structures” deals with this challenging information unit. It focuses on theoretical foundations of representing natural language texts as well as on concrete operations of automatic text processing. Following this integrated approach, the present volume includes contributions to a wide range of topics in the context of processing of textual data. This relates to the learning of ontologies from natural language texts, the annotation and automatic parsing of texts as well as the detection and tracking of topics in texts and hypertexts. In this way, the book brings together a wide range of approaches to procedural aspects of text technology as an emerging scientific discipline.

Author : Udo Kuckartz
Publisher : SAGE
Page : 193 pages
File Size : 44,8 Mb
Release : 2014-01-23
Category : Reference
ISBN : 9781446297766

Get Book

Qualitative Text Analysis by Udo Kuckartz Pdf

How can you analyse narratives, interviews, field notes, or focus group data? Qualitative text analysis is ideal for these types of data and this textbook provides a hands-on introduction to the method and its theoretical underpinnings. It offers step-by-step instructions for implementing the three principal types of qualitative text analysis: thematic, evaluative, and type-building. Special attention is paid to how to present your results and use qualitative data analysis software packages, which are highly recommended for use in combination with qualitative text analysis since they allow for fast, reliable, and more accurate analysis. The book shows in detail how to use software, from transcribing the verbal data to presenting and visualizing the results. The book is intended for Master’s and Doctoral students across the social sciences and for all researchers concerned with the systematic analysis of texts of any kind.

Author : Benjamin Bengfort,Rebecca Bilbro,Tony Ojeda
Publisher : "O'Reilly Media, Inc."
Page : 332 pages
File Size : 54,8 Mb
Release : 2018-06-11
Category : Computers
ISBN : 9781491962992

Get Book

Applied Text Analysis with Python by Benjamin Bengfort,Rebecca Bilbro,Tony Ojeda Pdf

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning. You’ll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you’ll be equipped with practical methods to solve any number of complex real-world problems. Preprocess and vectorize text into high-dimensional feature representations Perform document classification and topic modeling Steer the model selection process with visual diagnostics Extract key phrases, named entities, and graph structures to reason about data in text Build a dialog framework to enable chatbots and language-driven interaction Use Spark to scale processing power and neural networks to scale model complexity

Author : Taeho Jo
Publisher : Springer
Page : 373 pages
File Size : 45,9 Mb
Release : 2018-06-07
Category : Technology & Engineering
ISBN : 9783319918150

Get Book

Text Mining by Taeho Jo Pdf

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.

Author : Michael W. Berry,Jacob Kogan
Publisher : John Wiley & Sons
Page : 222 pages
File Size : 53,7 Mb
Release : 2010-02-25
Category : Mathematics
ISBN : 047068965X

Get Book

Text Mining by Michael W. Berry,Jacob Kogan Pdf

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 use of techniques from machine learning, knowledge discovery, natural language processing and information retrieval to design computational models for automated text analysis and mining. This volume demonstrates how advancements in the fields of applied mathematics, computer science, machine learning, and natural language processing can collectively capture, classify, and interpret words and their contexts. As suggested in the preface, text mining is needed when “words are not enough.” This book: Provides state-of-the-art algorithms and techniques for critical tasks in text mining applications, such as clustering, classification, anomaly and trend detection, and stream analysis. Presents a survey of text visualization techniques and looks at the multilingual text classification problem. Discusses the issue of cybercrime associated with chatrooms. Features advances in visual analytics and machine learning along with illustrative examples. Is accompanied by a supporting website featuring datasets. Applied mathematicians, statisticians, practitioners and students in computer science, bioinformatics and engineering will find this book extremely useful.