Natural Language Processing For Social Media

Natural Language Processing For Social Media Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Natural Language Processing For Social Media book. This book definitely worth reading, it is an incredibly well-written.

Natural Language Processing for Social Media

Atefeh Farzindar,Diana Inkpen
Natural Language Processing for Social Media Book PDF

Author : Atefeh Farzindar,Diana Inkpen
Publisher : Morgan & Claypool Publishers
Page : 197 pages
File Size : 50,7 Mb
Release : 2017-12-15
Category : Computers
ISBN : 9781681736136

Get Book

Natural Language Processing for Social Media by Atefeh Farzindar,Diana Inkpen Pdf

In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms which extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. We discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, healthcare, business intelligence, industry, marketing, and security and defence. We review the existing evaluation metrics for NLP and social media applications, and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks) or by the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC). In the concluding chapter, we discuss the importance of this dynamic discipline and its great potential for NLP in the coming decade, in the context of changes in mobile technology, cloud computing, virtual reality, and social networking. In this second edition, we have added information about recent progress in the tasks and applications presented in the first edition. We discuss new methods and their results. The number of research projects and publications that use social media data is constantly increasing due to continuously growing amounts of social media data and the need to automatically process them. We have added 85 new references to the more than 300 references from the first edition. Besides updating each section, we have added a new application (digital marketing) to the section on media monitoring and we have augmented the section on healthcare applications with an extended discussion of recent research on detecting signs of mental illness from social media.

Social Media Content Analysis

Kam-Fai Wong
Social Media Content Analysis Book PDF

Author : Kam-Fai Wong
Publisher : World Scientific Publishing Company
Page : 488 pages
File Size : 46,6 Mb
Release : 2017-06-29
Category : Computers
ISBN : 981322360X

Get Book

Social Media Content Analysis by Kam-Fai Wong Pdf

This book volume brings together carefully selected scholarly works covering four inter-related topic areas in international finance. The first section deals with the efficacy and determinants of central bank currency interventions by the Bank of Japan an

Practical Natural Language Processing

Sowmya Vajjala,Bodhisattwa Majumder,Anuj Gupta,Harshit Surana
Practical Natural Language Processing Book PDF

Author : Sowmya Vajjala,Bodhisattwa Majumder,Anuj Gupta,Harshit Surana
Publisher : O'Reilly Media
Page : 455 pages
File Size : 50,8 Mb
Release : 2020-06-17
Category : Computers
ISBN : 9781492054023

Get Book

Practical Natural Language Processing by Sowmya Vajjala,Bodhisattwa Majumder,Anuj Gupta,Harshit Surana Pdf

Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective

Natural Language Processing for Social Media

Atefeh Farzindar
Natural Language Processing for Social Media Book PDF

Author : Atefeh Farzindar
Publisher : Springer Nature
Page : 158 pages
File Size : 42,6 Mb
Release : 2015-08-31
Category : Computers
ISBN : 9783031021572

Get Book

Natural Language Processing for Social Media by Atefeh Farzindar Pdf

In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms which extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. We discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on Natural Language Processing (NLP) tools and methods for processing the non-traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, health care, business intelligence, industry, marketing, and security and defense. We review the existing evaluation metrics for NLP and social media applications, and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks) or by the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC). In the concluding chapter, we discuss the importance of this dynamic discipline and its great potential for NLP in the coming decade, in the context of changes in mobile technology, cloud computing, and social networking.

Natural Language Processing for Social Media

Anna Atefeh Farzindar,Diana Inkpen
Natural Language Processing for Social Media Book PDF

Author : Anna Atefeh Farzindar,Diana Inkpen
Publisher : Morgan & Claypool Publishers
Page : 221 pages
File Size : 44,8 Mb
Release : 2020-04-10
Category : Computers
ISBN : 9781681738123

Get Book

Natural Language Processing for Social Media by Anna Atefeh Farzindar,Diana Inkpen Pdf

In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms that extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. This book will discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts, and it shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, health care, and business intelligence. The book further covers the existing evaluation metrics for NLP and social media applications and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks), the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC), or the Conference and Labs of the Evaluation Forum (CLEF). In this third edition of the book, the authors added information about recent progress in NLP for social media applications, including more about the modern techniques provided by deep neural networks (DNNs) for modeling language and analyzing social media data.

Representation Learning for Natural Language Processing

Zhiyuan Liu,Yankai Lin,Maosong Sun
Representation Learning for Natural Language Processing Book PDF

Author : Zhiyuan Liu,Yankai Lin,Maosong Sun
Publisher : Springer Nature
Page : 319 pages
File Size : 54,9 Mb
Release : 2020-07-03
Category : Computers
ISBN : 9789811555732

Get Book

Representation Learning for Natural Language Processing by Zhiyuan Liu,Yankai Lin,Maosong Sun Pdf

This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.

Deep Natural Language Processing and AI Applications for Industry 5.0

Tanwar, Poonam,Saxena, Arti,Priya, C.
Deep Natural Language Processing and AI Applications for Industry 5 0 Book PDF

Author : Tanwar, Poonam,Saxena, Arti,Priya, C.
Publisher : IGI Global
Page : 240 pages
File Size : 44,9 Mb
Release : 2021-06-25
Category : Computers
ISBN : 9781799877301

Get Book

Deep Natural Language Processing and AI Applications for Industry 5.0 by Tanwar, Poonam,Saxena, Arti,Priya, C. Pdf

To sustain and stay at the top of the market and give absolute comfort to the consumers, industries are using different strategies and technologies. Natural language processing (NLP) is a technology widely penetrating the market, irrespective of the industry and domains. It is extensively applied in businesses today, and it is the buzzword in every engineer’s life. NLP can be implemented in all those areas where artificial intelligence is applicable either by simplifying the communication process or by refining and analyzing information. Neural machine translation has improved the imitation of professional translations over the years. When applied in neural machine translation, NLP helps educate neural machine networks. This can be used by industries to translate low-impact content including emails, regulatory texts, etc. Such machine translation tools speed up communication with partners while enriching other business interactions. Deep Natural Language Processing and AI Applications for Industry 5.0 provides innovative research on the latest findings, ideas, and applications in fields of interest that fall under the scope of NLP including computational linguistics, deep NLP, web analysis, sentiments analysis for business, and industry perspective. This book covers a wide range of topics such as deep learning, deepfakes, text mining, blockchain technology, and more, making it a crucial text for anyone interested in NLP and artificial intelligence, including academicians, researchers, professionals, industry experts, business analysts, data scientists, data analysts, healthcare system designers, intelligent system designers, practitioners, and students.

Natural Language Processing for Social Media, Second Edition

Atefeh Farzindar,Diana Inkpen
Natural Language Processing for Social Media Second Edition Book PDF

Author : Atefeh Farzindar,Diana Inkpen
Publisher : Springer Nature
Page : 188 pages
File Size : 54,6 Mb
Release : 2017-12-15
Category : Computers
ISBN : 9783031021671

Get Book

Natural Language Processing for Social Media, Second Edition by Atefeh Farzindar,Diana Inkpen Pdf

In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms which extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. We discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, healthcare, business intelligence, industry, marketing, and security and defence. We review the existing evaluation metrics for NLP and social media applications, and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks) or by the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC). In the concluding chapter, we discuss the importance of this dynamic discipline and its great potential for NLP in the coming decade, in the context of changes in mobile technology, cloud computing, virtual reality, and social networking. In this second edition, we have added information about recent progress in the tasks and applications presented in the first edition. We discuss new methods and their results. The number of research projects and publications that use social media data is constantly increasing due to continuously growing amounts of social media data and the need to automatically process them. We have added 85 new references to the more than 300 references from the first edition. Besides updating each section, we have added a new application (digital marketing) to the section on media monitoring and we have augmented the section on healthcare applications with an extended discussion of recent research on detecting signs of mental illness from social media.

Natural Language Processing for Social Media, Third Edition

Anna Atefeh Farzindar,Diana Inkpen
Natural Language Processing for Social Media Third Edition Book PDF

Author : Anna Atefeh Farzindar,Diana Inkpen
Publisher : Springer Nature
Page : 193 pages
File Size : 41,8 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031021756

Get Book

Natural Language Processing for Social Media, Third Edition by Anna Atefeh Farzindar,Diana Inkpen Pdf

In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms that extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. This book will discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts, and it shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, health care, and business intelligence. The book further covers the existing evaluation metrics for NLP and social media applications and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks), the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC), or the Conference and Labs of the Evaluation Forum (CLEF). In this third edition of the book, the authors added information about recent progress in NLP for social media applications, including more about the modern techniques provided by deep neural networks (DNNs) for modeling language and analyzing social media data.

Introduction to Natural Language Processing

Jacob Eisenstein
Introduction to Natural Language Processing Book PDF

Author : Jacob Eisenstein
Publisher : MIT Press
Page : 535 pages
File Size : 53,9 Mb
Release : 2019-10-01
Category : Computers
ISBN : 9780262042840

Get Book

Introduction to Natural Language Processing by Jacob Eisenstein Pdf

A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation. The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.

Mapping the Public Voice for Development—Natural Language Processing of Social Media Text Data

Asian Development Bank
Mapping the Public Voice for Development Natural Language Processing of Social Media Text Data Book PDF

Author : Asian Development Bank
Publisher : Asian Development Bank
Page : 159 pages
File Size : 54,8 Mb
Release : 2022-08-01
Category : Technology & Engineering
ISBN : 9789292697020

Get Book

Mapping the Public Voice for Development—Natural Language Processing of Social Media Text Data by Asian Development Bank Pdf

The publication introduces the foundations of natural language analyses and showcases studies that have applied NLP techniques to make progress on the Sustainable Development Goals. It also reviews specific NLP techniques and concepts, supported by two case studies. The first case study analyzes public sentiments on the coronavirus disease (COVID-19) in the Philippines while the second case study explores the public debate on climate change in Australia.

Handbook of Research on Natural Language Processing and Smart Service Systems

Pazos-Rangel, Rodolfo Abraham,Florencia-Juarez, Rogelio,Paredes-Valverde, Mario Andrés,Rivera, Gilberto
Handbook of Research on Natural Language Processing and Smart Service Systems Book PDF

Author : Pazos-Rangel, Rodolfo Abraham,Florencia-Juarez, Rogelio,Paredes-Valverde, Mario Andrés,Rivera, Gilberto
Publisher : IGI Global
Page : 554 pages
File Size : 44,8 Mb
Release : 2020-10-02
Category : Computers
ISBN : 9781799847311

Get Book

Handbook of Research on Natural Language Processing and Smart Service Systems by Pazos-Rangel, Rodolfo Abraham,Florencia-Juarez, Rogelio,Paredes-Valverde, Mario Andrés,Rivera, Gilberto Pdf

Natural language processing (NLP) is a branch of artificial intelligence that has emerged as a prevalent method of practice for a sizeable amount of companies. NLP enables software to understand human language and process complex data that is generated within businesses. In a competitive market, leading organizations are showing an increased interest in implementing this technology to improve user experience and establish smarter decision-making methods. Research on the application of intelligent analytics is crucial for professionals and companies who wish to gain an edge on the opposition. The Handbook of Research on Natural Language Processing and Smart Service Systems is a collection of innovative research on the integration and development of intelligent software tools and their various applications within professional environments. While highlighting topics including discourse analysis, information retrieval, and advanced dialog systems, this book is ideally designed for developers, practitioners, researchers, managers, engineers, academicians, business professionals, scholars, policymakers, and students seeking current research on the improvement of competitive practices through the use of NLP and smart service systems.

Natural Language Processing in Artificial Intelligence

Brojo Kishore Mishra,Raghvendra Kumar
Natural Language Processing in Artificial Intelligence Book PDF

Author : Brojo Kishore Mishra,Raghvendra Kumar
Publisher : CRC Press
Page : 297 pages
File Size : 43,9 Mb
Release : 2020-11-01
Category : Science
ISBN : 9781000711318

Get Book

Natural Language Processing in Artificial Intelligence by Brojo Kishore Mishra,Raghvendra Kumar Pdf

This volume focuses on natural language processing, artificial intelligence, and allied areas. Natural language processing enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. This book discusses theoretical work and advanced applications, approaches, and techniques for computational models of information and how it is presented by language (artificial, human, or natural) in other ways. It looks at intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes. It explores the difficult problems and challenges related to partiality, underspecification, and context-dependency, which are signature features of information in nature and natural languages. Key features: Addresses the functional frameworks and workflow that are trending in NLP and AI Looks at the latest technologies and the major challenges, issues, and advances in NLP and AI Explores an intelligent field monitoring and automated system through AI with NLP and its implications for the real world Discusses data acquisition and presents a real-time case study with illustrations related to data-intensive technologies in AI and NLP.

Natural Language Processing with SAS

Anonim
Natural Language Processing with SAS Book PDF

Author : Anonim
Publisher : Unknown
Page : 74 pages
File Size : 53,6 Mb
Release : 2020-08-31
Category : Electronic
ISBN : 1952363187

Get Book

Natural Language Processing with SAS by Anonim Pdf

Natural Language Processing (NLP) is a branch of artificial intelligence that helps computers understand, interpret, and emulate written or spoken human language. NLP draws from many disciplines including human-generated linguistic rules, machine learning, and deep learning to fill the gap between human communication and machine understanding. The papers included in this special collection demonstrate how NLP can be used to scale the human act of reading, organizing, and quantifying text data.

Artificial Intelligence in Social Media

IntroBooks Team
Artificial Intelligence in Social Media Book PDF

Author : IntroBooks Team
Publisher : IntroBooks
Page : 27 pages
File Size : 44,5 Mb
Release : 2024-06-30
Category : Computers
ISBN : 8210379456XXX

Get Book

Artificial Intelligence in Social Media by IntroBooks Team Pdf

Artificial Intelligence has revolutionized and transformed Social Media in many innovative ways. With around 3 billion people connected to various social media platforms, they are generating a huge mass of data. Now the question is, “Why should social media be concerned about all this data floating around?” The answer to this question is that this ‘meta – data’ is of great value to social media platforms. One reason is that social networks can keep themselves relevant with times only if they keep themselves abreast about the needs, wants and choices of the users from multiple geographical locations. Another reason is that they get to monetize this information when they share their platforms with advertisers and marketers. AI is one single solution for both these scenarios.