Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Automatic Text Processing full books in PDF, epub, and Kindle. Read online Automatic Text Processing ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Gerard Salton
Publisher : Reading, Mass. : Addison-Wesley
ISBN 13 :
Total Pages : 552 pages
Book Rating : 4.3/5 (512 download)
Download or read book Automatic Text Processing written by Gerard Salton and published by Reading, Mass. : Addison-Wesley. This book was released on 1989 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Horacio Saggion
Publisher : Morgan & Claypool Publishers
ISBN 13 : 168173186X
Total Pages : 167 pages
Book Rating : 4.6/5 (817 download)
Download or read book Automatic Text Simplification written by Horacio Saggion and published by Morgan & Claypool Publishers. This book was released on 2017-04-25 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thanks to the availability of texts on the Web in recent years, increased knowledge and information have been made available to broader audiences. However, the way in which a text is written—its vocabulary, its syntax—can be difficult to read and understand for many people, especially those with poor literacy, cognitive or linguistic impairment, or those with limited knowledge of the language of the text. Texts containing uncommon words or longand complicated sentences can be difficult to read and understand by people as well as difficult to analyze by machines. Automatic text simplification is the process of transforming a text into another text which, ideally conveying the same message, will be easier to read and understand by a broader audience. The process usually involves the replacement of difficult or unknown phrases with simpler equivalents and the transformation of long and syntactically complex sentences into shorter and less complex ones. Automatic text simplification, a research topic which started 20 years ago, now has taken on a central role in natural language processing research not only because of the interesting challenges it posesses but also because of its social implications. This book presents past and current research in text simplification, exploring key issues including automatic readability assessment, lexical simplification, and syntactic simplification. It also provides a detailed account of machine learning techniques currently used in simplification, describes full systems designed for specific languages and target audiences, and offers available resources for research and development together with text simplification evaluation techniques.
Author : Justin Grimmer
Publisher : Princeton University Press
ISBN 13 : 0691207550
Total Pages : 360 pages
Book Rating : 4.6/5 (912 download)
Download or read book Text as Data written by Justin Grimmer and published by Princeton University Press. This book was released on 2022-03-29 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Gerard Salton
Publisher :
ISBN 13 :
Total Pages : 530 pages
Book Rating : 4.:/5 (86 download)
Download or read book Automatic Text Processing written by Gerard Salton and published by . This book was released on 1989 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Taeho Jo
Publisher : Springer
ISBN 13 : 331991815X
Total Pages : 373 pages
Book Rating : 4.3/5 (199 download)
Download or read book Text Mining written by Taeho Jo and published by Springer. This book was released on 2018-06-07 with total page 373 pages. 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.
Author : Chris Biemann
Publisher : Springer
ISBN 13 : 3319126555
Total Pages : 238 pages
Book Rating : 4.3/5 (191 download)
Download or read book Text Mining written by Chris Biemann and published by Springer. This book was released on 2014-12-19 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Juan-Manuel Torres-Moreno
Publisher : John Wiley & Sons
ISBN 13 : 1119044073
Total Pages : 320 pages
Book Rating : 4.1/5 (19 download)
Download or read book Automatic Text Summarization written by Juan-Manuel Torres-Moreno and published by John Wiley & Sons. This book was released on 2014-09-25 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Textual information in the form of digital documents quickly accumulates to create huge amounts of data. The majority of these documents are unstructured: it is unrestricted text and has not been organized into traditional databases. Processing documents is therefore a perfunctory task, mostly due to a lack of standards. It has thus become extremely difficult to implement automatic text analysis tasks. Automatic Text Summarization (ATS), by condensing the text while maintaining relevant information, can help to process this ever-increasing, difficult-to-handle, mass of information. This book examines the motivations and different algorithms for ATS. The author presents the recent state of the art before describing the main problems of ATS, as well as the difficulties and solutions provided by the community. The book provides recent advances in ATS, as well as current applications and trends. The approaches are statistical, linguistic and symbolic. Several examples are also included in order to clarify the theoretical concepts.
Author : Alexander Mehler
Publisher : Springer Science & Business Media
ISBN 13 : 3540375228
Total Pages : 450 pages
Book Rating : 4.5/5 (43 download)
Download or read book Aspects of Automatic Text Analysis written by Alexander Mehler and published by Springer Science & Business Media. This book was released on 2007-06-24 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Inderjeet Mani
Publisher : MIT Press
ISBN 13 : 9780262133593
Total Pages : 464 pages
Book Rating : 4.1/5 (335 download)
Download or read book Advances in Automatic Text Summarization written by Inderjeet Mani and published by MIT Press. This book was released on 1999 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: ntil now there has been no state-of-the-art collection of themost important writings in automatic text summarization. This bookpresents the key developments in the field in an integrated frameworkand suggests future research areas. With the rapid growth of the World Wide Web and electronic information services, information is becoming available on-line at an incredible rate. One result is the oft-decried information overload. No one has time to read everything, yet we often have to make critical decisions based on what we are able to assimilate. The technology of automatic text summarization is becoming indispensable for dealing with this problem. Text summarization is the process of distilling the most important information from a source to produce an abridged version for a particular user or task. Until now there has been no state-of-the-art collection of the most important writings in automatic text summarization. This book presents the key developments in the field in an integrated framework and suggests future research areas. The book is organized into six sections: Classical Approaches, Corpus-Based Approaches, Exploiting Discourse Structure, Knowledge-Rich Approaches, Evaluation Methods, and New Summarization Problem Areas. Contributors D. A. Adams, C. Aone, R. Barzilay, E. Bloedorn, B. Boguraev, R. Brandow, C. Buckley, F. Chen, M. J. Chrzanowski, H. P. Edmundson, M. Elhadad, T. Firmin, R. P. Futrelle, J. Gorlinsky, U. Hahn, E. Hovy, D. Jang, K. Sparck Jones, G. M. Kasper, C. Kennedy, K. Kukich, J. Kupiec, B. Larsen, W. G. Lehnert, C. Lin, H. P. Luhn, I. Mani, D. Marcu, M. Maybury, K. McKeown, A. Merlino, M. Mitra, K. Mitze, M. Moens, A. H. Morris, S. H. Myaeng, M. E. Okurowski, J. Pedersen, J. J. Pollock, D. R. Radev, G. J. Rath, L. F. Rau, U. Reimer, A. Resnick, J. Robin, G. Salton, T. R. Savage, A. Singhal, G. Stein, T. Strzalkowski, S. Teufel, J. Wang, B. Wise, A. Zamora
Author : Dan Jurafsky
Publisher : Pearson Education India
ISBN 13 : 9788131716724
Total Pages : 912 pages
Book Rating : 4.7/5 (167 download)
Download or read book Speech & Language Processing written by Dan Jurafsky and published by Pearson Education India. This book was released on 2000-09 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Alexander Gelbukh
Publisher : Springer Science & Business Media
ISBN 13 : 3642003818
Total Pages : 619 pages
Book Rating : 4.6/5 (42 download)
Download or read book Computational Linguistics and Intelligent Text Processing written by Alexander Gelbukh and published by Springer Science & Business Media. This book was released on 2009-02-16 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2009, held in Mexico City, Mexico in March 2009. The 44 revised full papers presented together with 4 invited papers were carefully reviewed and selected from numerous submissions. The papers cover all current issues in computational linguistics research and present intelligent text processing applications.
Author : Steven Bird
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 0596555717
Total Pages : 506 pages
Book Rating : 4.5/5 (965 download)
Download or read book Natural Language Processing with Python written by Steven Bird and published by "O'Reilly Media, Inc.". This book was released on 2009-06-12 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.
Author : Jean Véronis
Publisher : Springer Science & Business Media
ISBN 13 : 9780792365464
Total Pages : 442 pages
Book Rating : 4.3/5 (654 download)
Download or read book Parallel Text Processing written by Jean Véronis and published by Springer Science & Business Media. This book was released on 2000-09-30 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rising importance of multilingualism in language industries, brought about by global markets and world-wide information exchange, parallel corpora, i.e. corpora of texts accompanied by their translation, have become key resources in the development of natural language processing tools. The applications based upon parallel corpora are numerous and growing in number: multilingual lexicography and terminology, machine and human translation, cross-language information retrieval, language learning, etc. The book's chapters have been commissioned from major figures in the field of parallel corpus building and exploitation, with the aim of showing the state of the art in parallel text alignment and use ten to fifteen years after the first parallel-text alignment techniques were developed. Within the book, the following broad themes are addressed: (i) techniques for the alignment of parallel texts at various levels such as sentence, clause, and word; (ii) the use of parallel texts in fields as diverse as translation, lexicography, and information retrieval; (iii) available corpus resources and the evaluation of alignment methods. The book will be of interest to researchers and advanced students of computational linguistics, terminology, lexicography and translation, both in academia and industry.
Author : Anne Kao
Publisher : Springer Science & Business Media
ISBN 13 : 1846287545
Total Pages : 272 pages
Book Rating : 4.8/5 (462 download)
Download or read book Natural Language Processing and Text Mining written by Anne Kao and published by Springer Science & Business Media. This book was released on 2007-03-06 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Allen B. Tucker
Publisher :
ISBN 13 :
Total Pages : 200 pages
Book Rating : 4.:/5 (42 download)
Download or read book Text Processing written by Allen B. Tucker and published by . This book was released on 1979 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction of text processing; Introduction to PL/1 for Text processing; Introduction to SNOBOL for text processing; Overview of text processing packages and applications.
Author : Alexander Gelbukh
Publisher : Springer
ISBN 13 : 3540446869
Total Pages : 540 pages
Book Rating : 4.5/5 (44 download)
Download or read book Computational Linguistics and Intelligent Text Processing written by Alexander Gelbukh and published by Springer. This book was released on 2003-06-29 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: CICLing 2001 is the second annual Conference on Intelligent text processing and Computational Linguistics (hence the name CICLing), see www.CICLing.org. It is intended to provide a balanced view of the cutting edge developments in both theoretical foundations of computational linguistics and practice of natural language text processing with its numerous applications. A feature of the CICLing conferences is their wide scope that covers nearly all areas of computational linguistics and all aspects of natural language processing applications. The conference is a forum for dialogue between the specialists working in these two areas. This year our invited speakers were Graeme Hirst (U. Toronto, Canada), Sylvain Kahane (U. Paris 7, France), and Ruslan Mitkov (U. Wolverhampton, UK). They delivered excellent extended lectures and organized vivid discussions. A total of 72 submissions were received, all but very few of surprisingly high quality. After careful reviewing, the Program Committee selected for presentation 53 of them, 41 as full papers and 12 as short papers, by 98 authors from 19 countries: Spain (19 authors), Japan (15), USA (12), France, Mexico (9 each), Sweden (6), Canada, China, Germany, Italy, Malaysia, Russia, United Arab Emirates (3 each), Argentina (2), Bulgaria, The Netherlands, Ukraine, UK, and Uruguay (1 each).
Author : Ankur A. Patel
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492062545
Total Pages : 336 pages
Book Rating : 4.4/5 (92 download)
Download or read book Applied Natural Language Processing in the Enterprise written by Ankur A. Patel and published by "O'Reilly Media, Inc.". This book was released on 2021-05-12 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: NLP has exploded in popularity over the last few years. But while Google, Facebook, OpenAI, and others continue to release larger language models, many teams still struggle with building NLP applications that live up to the hype. This hands-on guide helps you get up to speed on the latest and most promising trends in NLP. With a basic understanding of machine learning and some Python experience, you'll learn how to build, train, and deploy models for real-world applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai guide you through the process using code and examples that highlight the best practices in modern NLP. Use state-of-the-art NLP models such as BERT and GPT-3 to solve NLP tasks such as named entity recognition, text classification, semantic search, and reading comprehension Train NLP models with performance comparable or superior to that of out-of-the-box systems Learn about Transformer architecture and modern tricks like transfer learning that have taken the NLP world by storm Become familiar with the tools of the trade, including spaCy, Hugging Face, and fast.ai Build core parts of the NLP pipeline--including tokenizers, embeddings, and language models--from scratch using Python and PyTorch Take your models out of Jupyter notebooks and learn how to deploy, monitor, and maintain them in production
