Social Media Processing
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Author |
: Atefeh Farzindar |
Publisher |
: Morgan & Claypool Publishers |
Total Pages |
: 197 |
Release |
: 2017-12-15 |
ISBN-10 |
: 9781681736136 |
ISBN-13 |
: 1681736136 |
Rating |
: 4/5 (36 Downloads) |
Synopsis Natural Language Processing for Social Media by : Atefeh Farzindar
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.
Author |
: Xichun Zhang |
Publisher |
: Springer |
Total Pages |
: 255 |
Release |
: 2015-11-26 |
ISBN-10 |
: 9789811000805 |
ISBN-13 |
: 9811000808 |
Rating |
: 4/5 (05 Downloads) |
Synopsis Social Media Processing by : Xichun Zhang
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.
Author |
: Kam-Fai Wong |
Publisher |
: World Scientific Publishing Company |
Total Pages |
: 488 |
Release |
: 2017-06-29 |
ISBN-10 |
: 981322360X |
ISBN-13 |
: 9789813223608 |
Rating |
: 4/5 (0X Downloads) |
Synopsis Social Media Content Analysis by : Kam-Fai Wong
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
Author |
: Xueqi Cheng |
Publisher |
: Springer |
Total Pages |
: 363 |
Release |
: 2017-10-24 |
ISBN-10 |
: 9789811068058 |
ISBN-13 |
: 9811068054 |
Rating |
: 4/5 (58 Downloads) |
Synopsis Social Media Processing by : Xueqi Cheng
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.
Author |
: Yuming Li |
Publisher |
: Springer |
Total Pages |
: 301 |
Release |
: 2016-10-18 |
ISBN-10 |
: 9789811029936 |
ISBN-13 |
: 9811029938 |
Rating |
: 4/5 (36 Downloads) |
Synopsis Social Media Processing by : Yuming Li
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.
Author |
: Feng Wu |
Publisher |
: Springer Nature |
Total Pages |
: 246 |
Release |
: 2023-11-14 |
ISBN-10 |
: 9789819975969 |
ISBN-13 |
: 9819975964 |
Rating |
: 4/5 (69 Downloads) |
Synopsis Social Media Processing by : Feng Wu
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.
Author |
: He-Yan Huang |
Publisher |
: Springer |
Total Pages |
: 267 |
Release |
: 2014-10-21 |
ISBN-10 |
: 9783662455586 |
ISBN-13 |
: 3662455587 |
Rating |
: 4/5 (86 Downloads) |
Synopsis Social Media Processing by : He-Yan Huang
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.
Author |
: Atefeh Farzindar |
Publisher |
: Springer Nature |
Total Pages |
: 188 |
Release |
: 2017-12-15 |
ISBN-10 |
: 9783031021671 |
ISBN-13 |
: 3031021673 |
Rating |
: 4/5 (71 Downloads) |
Synopsis Natural Language Processing for Social Media, Second Edition by : Atefeh Farzindar
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.
Author |
: Kipp Bodnar |
Publisher |
: John Wiley & Sons |
Total Pages |
: 216 |
Release |
: 2011-12-20 |
ISBN-10 |
: 9781118214305 |
ISBN-13 |
: 1118214307 |
Rating |
: 4/5 (05 Downloads) |
Synopsis The B2B Social Media Book by : Kipp Bodnar
Advance your B2B marketing plans with proven social media strategies Learn social media's specific application to B2B companies and how it can be leveraged to drive leads and revenue. B2B marketers are undervalued and under appreciated in many companies. Social media and online marketing provide the right mix of rich data and reduction in marketing expenses to help transform a marketer into a superstar. The B2B Social Media Book provides B2B marketers with actionable advice on leveraging blogging, LinkedIn, Twitter, Facebook and more, combined with key strategic imperatives that serve as the backbone of effective B2B social media strategies. This book serves as the definitive reference for B2B marketers looking to master social media and take their career to the next level. Describes a methodology for generating leads using social media Details how to create content offers that increase conversion rates and drive leads from social media Offers practical advice for incorporating mobile strategies into the marketing mix Provides a step-by-step process for measuring the return on investment of B2B social media strategies The B2B Social Media Book will help readers establish a strong social media marketing strategy to generate more leads, become a marketing superstar in the eye of company leaders, and most importantly, contribute to business growth.
Author |
: Luke Sloan |
Publisher |
: SAGE |
Total Pages |
: 709 |
Release |
: 2017-01-26 |
ISBN-10 |
: 9781473987210 |
ISBN-13 |
: 1473987210 |
Rating |
: 4/5 (10 Downloads) |
Synopsis The SAGE Handbook of Social Media Research Methods by : Luke Sloan
With coverage of the entire research process in social media, data collection and analysis on specific platforms, and innovative developments in the field, this handbook is the ultimate resource for those looking to tackle the challenges that come with doing research in this sphere.