Social Media Processing

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Social Media Processing

Author : Feng Wu,Xuanjing Huang,Xiangnan He,Jiliang Tang,Shu Zhao,Daifeng Li,Jing Zhang
Publisher : Springer Nature
Page : 246 pages
File Size : 52,7 Mb
Release : 2023-11-14
Category : Computers
ISBN : 9789819975969

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Social Media Processing by Feng Wu,Xuanjing Huang,Xiangnan He,Jiliang Tang,Shu Zhao,Daifeng Li,Jing Zhang Pdf

This book constitutes the thoroughly refereed proceedings of the 11th Chinese National Conference of Social Media Processing, SMP 2023, held in Anhui, China, in November 2023. The 16 full papers presented were carefully reviewed and selected from 88 submissions. The papers are organized in the topical sections on knowledge representation and reasoning; knowledge acquisition and knowledge base construction; linked data, knowledge integration, and knowledge graph storage management; natural language understanding and semantic computing; knowledge graph applications; knowledge graph open resources.

Social Media Processing

Author : Xueqi Cheng,Weiying Ma,Huan Liu,Huawei Shen,Shizheng Feng,Xing Xie
Publisher : Springer
Page : 356 pages
File Size : 46,5 Mb
Release : 2017-10-24
Category : Computers
ISBN : 9789811068058

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Social Media Processing by Xueqi Cheng,Weiying Ma,Huan Liu,Huawei Shen,Shizheng Feng,Xing Xie Pdf

This book constitutes the thoroughly refereed proceedings of the 6th National Conference of Social Media Processing, SMP 2017, held in Beijing, China, in September 2017. The 28 revised full papers presented were carefully reviewed and selected from 140 submissions. The papers address issues such as: knowledge discovery for data; natural language processing; text mining and sentiment analysis; social network analysis and social computing.

Social Media Processing

Author : Yuming Li,Guoxiong Xiang,Hongfei Lin,Mingwen Wang
Publisher : Springer
Page : 288 pages
File Size : 47,5 Mb
Release : 2016-10-18
Category : Computers
ISBN : 9789811029936

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Social Media Processing by Yuming Li,Guoxiong Xiang,Hongfei Lin,Mingwen Wang Pdf

This book constitutes the thoroughly refereed proceedings of the 5th National Conference of Social Media Processing, SMP 2016, held in Nanchang, China, in October 2016. The 24 revised full papers presented were carefully reviewed and selected from 109 submissions. The papers address issues such as: mining social media and applications; natural language processing; data mining; information retrieval; emergent social media processing problems.

Social Media Processing

Author : Xichun Zhang,Maosong Sun,Zhenyu Wang,Xuanjing Huang
Publisher : Springer
Page : 242 pages
File Size : 43,6 Mb
Release : 2015-11-26
Category : Computers
ISBN : 9789811000805

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Social Media Processing by Xichun Zhang,Maosong Sun,Zhenyu Wang,Xuanjing Huang Pdf

This book constitutes the thoroughly refereed papers of the 4th National Conference of Social Media Processing, SMP 2015, held in Guangzhou, China, in November 2015. The 14 revised full papers and 9 short papers presented were carefully reviewed and selected from 105 submissions. The papers address issues such as: mining social media and applications; natural language processing; data mining; information retrieval; emergent social media processing problems.

Social Media Processing

Author : He-Yan Huang,Liu Jun,Hua-Ping Zhang
Publisher : Springer
Page : 267 pages
File Size : 41,7 Mb
Release : 2014-10-21
Category : Computers
ISBN : 9783662455586

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Social Media Processing by He-Yan Huang,Liu Jun,Hua-Ping Zhang Pdf

This book constitutes the thoroughly refereed papers of the Third National Conference of Social Media Processing, SMP 2014, held in Beijing, China, in November 2014. The 14 revised full papers and 9 short papers presented were carefully reviewed and selected from 101 submissions. The papers focus on the following topics: mining social media and applications; natural language processing; data mining; information retrieval; emergent social media processing problems.

Natural Language Processing for Social Media

Author : Atefeh Farzindar,Diana Inkpen
Publisher : Morgan & Claypool Publishers
Page : 197 pages
File Size : 48,7 Mb
Release : 2017-12-15
Category : Computers
ISBN : 9781681736136

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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.

Natural Language Processing for Social Media

Author : Anna Atefeh Farzindar,Diana Inkpen
Publisher : Morgan & Claypool Publishers
Page : 221 pages
File Size : 46,5 Mb
Release : 2020-04-10
Category : Computers
ISBN : 9781681738123

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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.

Natural Language Processing for Social Media, Third Edition

Author : Anna Atefeh Farzindar,Diana Inkpen
Publisher : Springer Nature
Page : 193 pages
File Size : 43,5 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031021756

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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.

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

Author : Asian Development Bank
Publisher : Asian Development Bank
Page : 159 pages
File Size : 46,6 Mb
Release : 2022-08-01
Category : Technology & Engineering
ISBN : 9789292697020

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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.

The Hype Machine

Author : Sinan Aral
Publisher : Currency
Page : 417 pages
File Size : 43,5 Mb
Release : 2020-09-15
Category : Business & Economics
ISBN : 9780525574521

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The Hype Machine by Sinan Aral Pdf

A landmark insider’s tour of how social media affects our decision-making and shapes our world in ways both useful and dangerous, with critical insights into the social media trends of the 2020 election and beyond “The book might be described as prophetic. . . . At least two of Aral’s three predictions have come to fruition.”—New York NAMED ONE OF THE BEST BOOKS OF THE YEAR BY WIRED • LONGLISTED FOR THE PORCHLIGHT BUSINESS BOOK AWARD Social media connected the world—and gave rise to fake news and increasing polarization. It is paramount, MIT professor Sinan Aral says, that we recognize the outsize effect social media has on us—on our politics, our economy, and even our personal health—in order to steer today’s social technology toward its great promise while avoiding the ways it can pull us apart. Drawing on decades of his own research and business experience, Aral goes under the hood of the most powerful social networks to tackle the critical question of just how much social media actually shapes our choices, for better or worse. He shows how the tech behind social media offers the same set of behavior influencing levers to everyone who hopes to change the way we think and act—from Russian hackers to brand marketers—which is why its consequences affect everything from elections to business, dating to health. Along the way, he covers a wide array of topics, including how network effects fuel Twitter’s and Facebook’s massive growth, the neuroscience of how social media affects our brains, the real consequences of fake news, the power of social ratings, and the impact of social media on our kids. In mapping out strategies for being more thoughtful consumers of social media, The Hype Machine offers the definitive guide to understanding and harnessing for good the technology that has redefined our world overnight.

Database Management and Social Media Analytical Process: Optimizing Business Operation through Hybrid Tools

Author : Dr. Diwakar Chaudhary
Publisher : kitab writing publication
Page : 306 pages
File Size : 50,5 Mb
Release : 2023-10-18
Category : Antiques & Collectibles
ISBN : 9789358687927

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Database Management and Social Media Analytical Process: Optimizing Business Operation through Hybrid Tools by Dr. Diwakar Chaudhary Pdf

The digital world has a wealth of data, such as internet of things (IoT) data, business data, health data, mobile data, urban data, security data, and many more, in the current age of the Fourth Industrial Revolution (Industry 4.0 or 4IR). Extracting knowledge or useful insights from these data can be used for smart decision-making in various applications domains. In the area of data science, advanced analytics methods including machine learning modeling can provide actionable insights or deeper knowledge about data, which makes the computing process automatic and smart. This book focuses as a reference point on data science and advanced analytics to the researchers and decision-makers as well as application developers, particularly from the data-driven solution point of view for real-world problems using social media analytics.

Media, Process, and the Social Construction of Crime

Author : Gregg Barak
Publisher : Routledge
Page : 348 pages
File Size : 41,7 Mb
Release : 2013-10-28
Category : Social Science
ISBN : 9781135886110

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Media, Process, and the Social Construction of Crime by Gregg Barak Pdf

First published in 1995. One of the most pervasive forms of social control in our society is the mass media. The public learns from television, newspapers, magazines, movies, and books what is happening in the world and how to interpret it. The problem, however, is that full or complete interpretations of reality are not presented. In short, reality itself, clear and unadorned, is not to be found in the information provided by the media. Instead, media presentations consist of those various viewpoints that succeed in capturing the minds and imaginations of the masses, or in terms of the 1992 presidential campaign, that successfully put the winning spin on information. Barak and others believe that criminologists should participate in the various media presentations of crime and justice. By bringing their knowledge to bear on media presentations, criminologists can help make some news more representative and less distorted of the social reality of crime.

Social Media Content Analysis

Author : Kam-Fai Wong
Publisher : World Scientific Publishing Company
Page : 488 pages
File Size : 54,6 Mb
Release : 2017-06-29
Category : Computers
ISBN : 981322360X

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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

Social Media and the Transformation of Interaction in Society

Author : Sahlin, John P.
Publisher : IGI Global
Page : 301 pages
File Size : 42,5 Mb
Release : 2015-09-21
Category : Social Science
ISBN : 9781466685574

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Social Media and the Transformation of Interaction in Society by Sahlin, John P. Pdf

The availability of various technological platforms enables individuals to feel a deeper sense of connectivity and contribution to their social circles and the world around them. This growing dependence on social networking platforms has altered the ways in which society functions and communicates. Social Media and the Transformation of Interaction in Society is a definitive reference source for timely scholarly research evaluating the impact of social networking platforms on a variety of relationships, including those between individuals, governments, citizens, businesses, and consumers. Featuring expansive coverage on a range of topics relating to social media applications and uses across industries, this publication is a critical reference source for professionals, educators, students, and academicians seeking current research on the role and impact of new media on modern society. This publication features authoritative, research-based chapters across a range of relevant topics including, but not limited to, computer-mediated communication, nonprofit projects, disaster response management, education, cyberbullying, microblogging, digital paranoia, user interaction augmentation, and viral messaging.

Artificial Intelligence in Social Media

Author : IntroBooks Team
Publisher : IntroBooks
Page : 27 pages
File Size : 47,7 Mb
Release : 2024-07-04
Category : Computers
ISBN : 8210379456XXX

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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.