Natural Language Processing For Social Media


Natural Language Processing For Social Media
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Natural Language Processing For Social Media


Natural Language Processing For Social Media
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Author : Atefeh Farzindar
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2017-12-15

Natural Language Processing For Social Media written by Atefeh Farzindar and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-15 with Computers categories.


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


Natural Language Processing For Social Media
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Author : Atefeh Farzindar
language : en
Publisher: Springer Nature
Release Date : 2015-08-31

Natural Language Processing For Social Media written by Atefeh Farzindar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-31 with Computers categories.


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


Natural Language Processing For Social Media
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Author : Anna Atefeh Farzindar
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2020-04-10

Natural Language Processing For Social Media written by Anna Atefeh Farzindar and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-10 with Computers categories.


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.



Social Media Content Analysis


Social Media Content Analysis
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Author : Kam-Fai Wong
language : en
Publisher:
Release Date : 2018

Social Media Content Analysis written by Kam-Fai Wong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Content analysis categories.


"Social media platforms have been ubiquitously used in our daily lives and are steadily transforming the ways people communicate, socialize and conduct business. However, the growing popularity of social media adversely leads to wild spread of unreliable information. This in turn inevitably creates serious pollution problem of the global social media environment, which is harmful against humanity. For example, President Donald Trump used social media strategically to win in the 2016 USA Presidential Election. But it was found that many messages he delivered over social media were unproven, if not untrue. This problem must be prevented at all cost and as soon as possible. Thus, analysis of social media content is a pressing issue. It is a timely and important research subject worldwide. However, the short and informal nature of social media messages renders conventional content analysis, which is based on natural language processing (NLP), ineffective. This volume consists of a collection of highly relevant scientific articles published by the authors in different international conferences and journals, and is divided into three distinct parts: (I) search and filtering; (II) opinion and sentiment analysis; and (III) event detection and summarization. This book presents the latest advances in NLP technologies for social media content analysis, especially content on microblogging platforms such as Twitter and Weibo."--Publisher's website.



Artificial Intelligence In Social Media


Artificial Intelligence In Social Media
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Author : IntroBooks Team
language : en
Publisher: IntroBooks
Release Date :

Artificial Intelligence In Social Media written by IntroBooks Team and has been published by IntroBooks this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


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.



Natural Language Processing For Social Media


Natural Language Processing For Social Media
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Author : Anna Atefeh Farzindar
language : en
Publisher:
Release Date : 2020

Natural Language Processing For Social Media written by Anna Atefeh Farzindar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Natural language processing (Computer science) categories.




Low Resource Social Media Text Mining


Low Resource Social Media Text Mining
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Author : Shriphani Palakodety
language : en
Publisher: Springer Nature
Release Date : 2021-10-01

Low Resource Social Media Text Mining written by Shriphani Palakodety and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-01 with Computers categories.


This book focuses on methods that are unsupervised or require minimal supervision—vital in the low-resource domain. Over the past few years, rapid growth in Internet access across the globe has resulted in an explosion in user-generated text content in social media platforms. This effect is significantly pronounced in linguistically diverse areas of the world like South Asia, where over 400 million people regularly access social media platforms. YouTube, Facebook, and Twitter report a monthly active user base in excess of 200 million from this region. Natural language processing (NLP) research and publicly available resources such as models and corpora prioritize Web content authored primarily by a Western user base. Such content is authored in English by a user base fluent in the language and can be processed by a broad range of off-the-shelf NLP tools. In contrast, text from linguistically diverse regions features high levels of multilinguality, code-switching, and varied language skill levels. Resources like corpora and models are also scarce. Due to these factors, newer methods are needed to process such text. This book is designed for NLP practitioners well versed in recent advances in the field but unfamiliar with the landscape of low-resource multilingual NLP. The contents of this book introduce the various challenges associated with social media content, quantify these issues, and provide solutions and intuition. When possible, the methods discussed are evaluated on real-world social media data sets to emphasize their robustness to the noisy nature of the social media environment. On completion of the book, the reader will be well-versed with the complexity of text-mining in multilingual, low-resource environments; will be aware of a broad set of off-the-shelf tools that can be applied to various problems; and will be able to conduct sophisticated analyses of such text.



Advanced Applications Of Nlp And Deep Learning In Social Media Data


Advanced Applications Of Nlp And Deep Learning In Social Media Data
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Author : Ahmed A. Abd El-Latif
language : en
Publisher:
Release Date : 2023

Advanced Applications Of Nlp And Deep Learning In Social Media Data written by Ahmed A. Abd El-Latif and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Deep learning (Machine learning) categories.


Social media platforms are one of the main generators of textual data where people around the world share their daily life experiences and information with online society. The social, personal, and professional lives of people on these social networking sites generate not only a huge amount of data but also open doors for researchers and academicians with numerous research opportunities. This ample amount of data needs advanced machine learning, deep learning, and intelligent tools and techniques to receive, process, and interpret the information to resolve real-life challenges and improve the online social lives of people. Advanced Applications of NLP and Deep Learning in Social Media Data bridges the gap between natural language processing (NLP), advanced machine learning, deep learning, and online social media. It hopes to build a better and safer social media space by making human language available on different social media platforms intelligible for machines with the blessings of AI. Covering topics such as machine learning-based prediction, emotion recognition, and high-dimensional text clustering, this premier reference source is an essential resource for OSN service providers, psychiatrists, psychologists, clinicians, sociologists, students and educators of higher education, librarians, researchers, and academicians.



Social Media Content Analysis


Social Media Content Analysis
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Author : Kam-Fai Wong
language : en
Publisher: World Scientific Publishing Company
Release Date : 2017-06-29

Social Media Content Analysis written by Kam-Fai Wong and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-29 with Computers categories.


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



Chatgpt The Ai Powered Tool For Smarter Social Media Marketing


Chatgpt The Ai Powered Tool For Smarter Social Media Marketing
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Author : Sachin D. Jadhav
language : en
Publisher: Sankalp Publication
Release Date :

Chatgpt The Ai Powered Tool For Smarter Social Media Marketing written by Sachin D. Jadhav and has been published by Sankalp Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.


: "ChatGPT: The AI-Powered Tool for Smarter Social Media Marketing" is a comprehensive guide to leveraging the power of artificial intelligence for your social media marketing needs. In today's digital age, social media is a crucial platform for businesses of all sizes to reach and engage with their audience. However, with so much content being shared every second, it can be challenging to stand out and capture your audience's attention. This is where ChatGPT comes in. As an AI-powered tool, ChatGPT offers a unique advantage for businesses looking to streamline their social media marketing efforts. Using natural language processing and predictive analytics, ChatGPT generates intelligent prompts that can help businesses create compelling content that resonates with their target audience. This book provides a step-by-step guide on how to use ChatGPT's prompts effectively to craft engaging social media content that drives engagement and conversions. From content creation to conversion, this book covers all aspects of social media marketing with ChatGPT, including analyzing data and insights to optimize your social media strategy. Whether you're a small business owner looking to enhance your social media presence or a marketing professional seeking to stay ahead of the competition, this book is an essential resource for leveraging the power of AI for social media marketing. With clear and concise explanations, practical tips, and real-world examples, "ChatGPT: The AI-Powered Tool for Smarter Social Media Marketing" is the ultimate guide to achieving social media marketing success in the digital age.