Natural Language Processing with Spark NLP

Natural Language Processing with Spark NLP

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  • Author: Alex Thomas
  • Publisher: "O'Reilly Media, Inc."
  • ISBN: 1492047716
  • Category : Computers
  • Languages : en
  • Pages : 411

If you want to build an enterprise-quality application that uses natural language text but aren’t sure where to begin or what tools to use, this practical guide will help get you started. Alex Thomas, principal data scientist at Wisecube, shows software engineers and data scientists how to build scalable natural language processing (NLP) applications using deep learning and the Apache Spark NLP library. Through concrete examples, practical and theoretical explanations, and hands-on exercises for using NLP on the Spark processing framework, this book teaches you everything from basic linguistics and writing systems to sentiment analysis and search engines. You’ll also explore special concerns for developing text-based applications, such as performance. In four sections, you’ll learn NLP basics and building blocks before diving into application and system building: Basics: Understand the fundamentals of natural language processing, NLP on Apache Stark, and deep learning Building blocks: Learn techniques for building NLP applications—including tokenization, sentence segmentation, and named-entity recognition—and discover how and why they work Applications: Explore the design, development, and experimentation process for building your own NLP applications Building NLP systems: Consider options for productionizing and deploying NLP models, including which human languages to support


Empowering Low-Resource Languages With NLP Solutions

Empowering Low-Resource Languages With NLP Solutions

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  • Author: Pakray, Partha
  • Publisher: IGI Global
  • ISBN:
  • Category : Computers
  • Languages : en
  • Pages : 328

In our increasingly interconnected world, low-resource languages face the threat of oblivion. These linguistic gems, often spoken by marginalized communities, are at risk of fading away due to limited data and resources. The neglect of these languages not only erodes cultural diversity but also hinders effective communication, education, and social inclusion. Academics, practitioners, and policymakers grapple with the urgent need for a comprehensive solution to preserve and empower these vulnerable languages. Empowering Low-Resource Languages With NLP Solutions is a pioneering book that stands as the definitive answer to the pressing problem at hand. It tackles head-on the challenges that low-resource languages face in the realm of Natural Language Processing (NLP). Through real-world case studies, expert insights, and a comprehensive array of topics, this book equips its readers—academics, researchers, practitioners, and policymakers—with the tools, strategies, and ethical considerations needed to address the crisis facing low-resource languages.


Natural Language Processing - NLP 2000

Natural Language Processing - NLP 2000

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  • Author: Dimitris N. Christodoulakis
  • Publisher: Springer
  • ISBN: 3540451544
  • Category : Computers
  • Languages : en
  • Pages : 444

This volume contains the papers prepared for the 2nd International Conference on Natural Language Processing, held 2-4 June in Patras, Greece. The conference program features invited talks and submitted papers, c- ering a wide range of NLP areas: text segmentation, morphological analysis, lexical knowledge acquisition and representation, grammar formalism and s- tacticparsing,discourse analysis,languagegeneration,man-machineinteraction, machine translation, word sense disambiguation, and information extraction. The program committee received 71 abstracts, of which unfortunately no more than 50% could be accepted. Every paper was reviewed by at least two reviewers. The fairness of the reviewing process is demonstrated by the broad spread of institutions and countries represented in the accepted papers. So many have contributed to the success of the conference. The primary credit, ofcourse, goes to theauthors andto the invitedspeakers. By theirpapers and their inspired talks they established the quality of the conference. Secondly, thanks should go to the referees and to the program committee members who did a thorough and conscientious job. It was not easy to select the papers to be presented. Last, but not least, my special thanks to the organizing committee for making this conference happen.


Mining Scientific Papers: NLP-enhanced Bibliometrics

Mining Scientific Papers: NLP-enhanced Bibliometrics

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  • Author: Iana Atanassova
  • Publisher: Frontiers Media SA
  • ISBN: 2889459640
  • Category :
  • Languages : en
  • Pages : 134


Anxiety In Relationships & NLP

Anxiety In Relationships & NLP

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  • Author: Sebastian Clark
  • Publisher: Sebastian Clark
  • ISBN:
  • Category : Self-Help
  • Languages : en
  • Pages : 112

COMMUNICATE LIKE A PRO AND GET WHATEVER YOU WANT FROM OTHER PEOPLE WITH THIS BOOK THAT WILL SHOW YOU HOW! Feeling like you can't seem to shake the feeling of anxiety in your relationships? Relationships are hard. They take work, communication, and time. Sometimes it feels like we're stuck in a cycle of anxiety and negative thinking that we can't break free from. You're not alone. It's normal to feel anxious about our relationships from time to time, but if you're feeling constantly overwhelmed and panicked then something needs to change. In fact, anxiety is one of the most common mental health issues in the United States. But that doesn't mean you have to suffer from it forever. Neuro-Linguistic Programming (NLP) is a powerful tool that can help you overcome your anxiety and improve your communication skills. Discover: - How to effectively recognize and challenge negative thoughts: Overcome anxiety by putting a stop to those harmful thoughts that make you feel worthless. - Techniques for managing stress and anxiety in relationships: Keep the anxiousness at bay and learn to trust yourself and your partner. - Happy relationships that last: Know that a happy relationship doesn’t have to seem so out of reach. Learn how to keep jealousy at bay with these communication tips and tricks. - Strategies to get people to open up to you: Use persuasion techniques to your own advantage by asserting your influence on everyone around you. - Body language made easy: Understand the words that are left unsaid by learning how to read subtle shifts in body language. NLP can help you get to the root of your anxiety and figure out how to address it head-on! With better communication skills, you'll be able to connect with others on a deeper level and build stronger, more meaningful relationships. SCROLL UP, GET THE BOOK NOW, AND START READING!


Natural Language Processing and Information Systems

Natural Language Processing and Information Systems

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  • Author: Rafael Munoz
  • Publisher: Springer Science & Business Media
  • ISBN: 3642223265
  • Category : Computers
  • Languages : en
  • Pages : 362

This book constitutes the refereed proceedings of the 16th International Conference on Applications of Natural Language to Information Systems, held in Alicante, Spain, in June 2011. The 11 revised full papers and 11 revised short papers presented together with 23 poster papers, 1 invited talk and 6 papers of the NLDB 2011 doctoral symposium were carefully reviewed and selected from 74 submissions. The papers address all aspects of Natural Language Processing related areas and present current research on topics such as natural language in conceptual modeling, NL interfaces for data base querying/retrieval, NL-based integration of systems, large-scale online linguistic resources, applications of computational linguistics in information systems, management of textual databases NL on data warehouses and data mining, NLP applications, as well as NL and ubiquitous computing.


Natural Language Processing and Information Systems

Natural Language Processing and Information Systems

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  • Author: Mokrane Bouzeghoub
  • Publisher: Springer Science & Business Media
  • ISBN: 3540419438
  • Category : Computers
  • Languages : en
  • Pages : 383

This book constitutes the thoroughly refereed post-proceedings of the 5th International Conference on Application of Natural Language to Information Systems, NLDB 2000, held in Versailles, France, in June 2000. The 29 revised full papers presented together with two invited papers and seven posters and demonstrations have passed through two rounds of reviewing and selection. The book offers topical sections on linguistics in information design, temporal databases, word-sense disambiguation, semantic relationships in databases, semantic and contextual document retrieval, natural language generation for answering email and OLAP, NLP techniques for information retrieval, Web information retrieval, technical databases, users and interactions in Web querying, and conceptual patterns.


Natural Language Processing in Artificial Intelligence — NLPinAI 2021

Natural Language Processing in Artificial Intelligence — NLPinAI 2021

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  • Author: Roussanka Loukanova
  • Publisher: Springer Nature
  • ISBN: 3030901386
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 126

The book covers theoretical work, approaches, applications, and techniques for computational models of information, language, and reasoning. Computational and technological developments that incorporate natural language are proliferating. Adequate coverage of natural language processing in artificial intelligence encounters problems on developments of specialized computational approaches and algorithms. Many difficulties are due to ambiguities in natural language and dependency of interpretations on contexts and agents. Classical approaches proceed with relevant updates, and new developments emerge in theories of formal and natural languages, computational models of information and reasoning, and related computerized applications. Its focus is on computational processing of human language and relevant medium languages, which can be theoretically formal, or for programming and specification of computational systems. The goal is to promote intelligent natural language processing, along with models of computation, language, reasoning, and other cognitive processes.


Natural Language Processing for the Semantic Web

Natural Language Processing for the Semantic Web

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  • Author: Diana Maynard
  • Publisher: Morgan & Claypool Publishers
  • ISBN: 1627056327
  • Category : Computers
  • Languages : en
  • Pages : 196

This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two technologies enables structured and unstructured data to merge seamlessly. Semantic Web technologies aim to convert unstructured data to meaningful representations, which benefit enormously from the use of NLP technologies, thereby enabling applications such as connecting text to Linked Open Data, connecting texts to each other, semantic searching, information visualization, and modeling of user behavior in online networks. The first half of this book describes the basic NLP processing tools: tokenization, part-of-speech tagging, and morphological analysis, in addition to the main tools required for an information extraction system (named entity recognition and relation extraction) which build on these components. The second half of the book explains how Semantic Web and NLP technologies can enhance each other, for example via semantic annotation, ontology linking, and population. These chapters also discuss sentiment analysis, a key component in making sense of textual data, and the difficulties of performing NLP on social media, as well as some proposed solutions. The book finishes by investigating some applications of these tools, focusing on semantic search and visualization, modeling user behavior, and an outlook on the future.


Machine Learning and Deep Learning in Natural Language Processing

Machine Learning and Deep Learning in Natural Language Processing

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  • Author: Anitha S. Pillai
  • Publisher: CRC Press
  • ISBN: 1000960854
  • Category : Computers
  • Languages : en
  • Pages : 245

Natural Language Processing (NLP) is a sub-field of Artificial Intelligence, linguistics, and computer science and is concerned with the generation, recognition, and understanding of human languages, both written and spoken. NLP systems examine the grammatical structure of sentences as well as the specific meanings of words, and then they utilize algorithms to extract meaning and produce results. Machine Learning and Deep Learning in Natural Language Processing aims at providing a review of current Neural Network techniques in the NLP field, in particular about Conversational Agents (chatbots), Text-to-Speech, management of non-literal content – like emotions, but also satirical expressions – and applications in the healthcare field. NLP has the potential to be a disruptive technology in various healthcare fields, but so far little attention has been devoted to that goal. This book aims at providing some examples of NLP techniques that can, for example, restore speech, detect Parkinson’s disease, or help psychotherapists. This book is intended for a wide audience. Beginners will find useful chapters providing a general introduction to NLP techniques, while experienced professionals will appreciate the chapters about advanced management of emotion, empathy, and non-literal content.