Big Data Analytics In Cognitive Social Media And Literary Texts
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Big Data Analytics In Cognitive Social Media And Literary Texts
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Author : Sanjiv Sharma
language : en
Publisher: Springer Nature
Release Date : 2021-10-10
Big Data Analytics In Cognitive Social Media And Literary Texts written by Sanjiv Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-10 with Language Arts & Disciplines categories.
This book provides a comprehensive overview of the theory and praxis of Big Data Analytics and how these are used to extract cognition-related information from social media and literary texts. It presents analytics that transcends the borders of discipline-specific academic research and focuses on knowledge extraction, prediction, and decision-making in the context of individual, social, and national development. The content is divided into three main sections: the first of which discusses various approaches associated with Big Data Analytics, while the second addresses the security and privacy of big data in social media, and the last focuses on the literary text as the literary data in Big Data Analytics. Sharing valuable insights into the etiology behind human cognition and its reflection in social media and literary texts, the book benefits all those interested in analytics that can be applied to literature, history, philosophy, linguistics, literary theory, media & communication studies and computational/digital humanities.
Text And Social Media Analytics For Fake News And Hate Speech Detection
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Author : Hemant Kumar Soni
language : en
Publisher: CRC Press
Release Date : 2024-08-21
Text And Social Media Analytics For Fake News And Hate Speech Detection written by Hemant Kumar Soni and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-21 with Computers categories.
Identifying and stopping the dissemination of fabricated news, hate speech, or deceptive information camouflaged as legitimate news poses a significant technological hurdle. This book presents emergent methodologies and technological approaches of natural language processing through machine learning for counteracting the spread of fake news and hate speech on social media platforms. • Covers various approaches, algorithms, and methodologies for fake news and hate speech detection. • Explains the automatic detection and prevention of fake news and hate speech through paralinguistic clues on social media using artificial intelligence. • Discusses the application of machine learning models to learn linguistic characteristics of hate speech over social media platforms. • Emphasizes the role of multilingual and multimodal processing to detect fake news. • Includes research on different optimization techniques, case studies on the identification, prevention, and social impact of fake news, and GitHub repository links to aid understanding. The text is for professionals and scholars of various disciplines interested in fake news and hate speech detection.
Handbook Of Research On Artificial Intelligence Applications In Literary Works And Social Media
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Author : Keikhosrokiani, Pantea
language : en
Publisher: IGI Global
Release Date : 2022-12-30
Handbook Of Research On Artificial Intelligence Applications In Literary Works And Social Media written by Keikhosrokiani, Pantea and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-30 with Computers categories.
Artificial intelligence has been utilized in a diverse range of industries as more people and businesses discover its many uses and applications. A current field of study that requires more attention, as there is much opportunity for improvement, is the use of artificial intelligence within literary works and social media analysis. The Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media presents contemporary developments in the adoption of artificial intelligence in textual analysis of literary works and social media and introduces current approaches, techniques, and practices in data science that are implemented to scrap and analyze text data. This book initiates a new multidisciplinary field that is the combination of artificial intelligence, data science, social science, literature, and social media study. Covering key topics such as opinion mining, sentiment analysis, and machine learning, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.
Handbook Of Research On Opinion Mining And Text Analytics On Literary Works And Social Media
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Author : Keikhosrokiani, Pantea
language : en
Publisher: IGI Global
Release Date : 2022-02-18
Handbook Of Research On Opinion Mining And Text Analytics On Literary Works And Social Media written by Keikhosrokiani, Pantea and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-18 with Computers categories.
Opinion mining and text analytics are used widely across numerous disciplines and fields in today’s society to provide insight into people’s thoughts, feelings, and stances. This data is incredibly valuable and can be utilized for a range of purposes. As such, an in-depth look into how opinion mining and text analytics correlate with social media and literature is necessary to better understand audiences. The Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media introduces the use of artificial intelligence and big data analytics applied to opinion mining and text analytics on literary works and social media. It also focuses on theories, methods, and approaches in which data analysis techniques can be used to analyze data to provide a meaningful pattern. Covering a wide range of topics such as sentiment analysis and stance detection, this publication is ideal for lecturers, researchers, academicians, practitioners, and students.
Data Driven Marketing For Strategic Success
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Author : Rosário, Albérico Travassos
language : en
Publisher: IGI Global
Release Date : 2024-08-09
Data Driven Marketing For Strategic Success written by Rosário, Albérico Travassos and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-09 with Business & Economics categories.
In the field of modern marketing, a pivotal challenge emerges as traditional strategies grapple with the complexities of an increasingly data-centric world. Marketers, researchers, and business consultants find themselves at a crossroads, navigating the intricate intersection of data science and strategic marketing practices. This challenge serves as the catalyst for Data-Driven Marketing for Strategic Success, a guide designed to address the pressing issues faced by academic scholars and professionals alike. This comprehensive exploration unveils the transformative power of data in reshaping marketing strategies, offering a beacon of strategic success in a sea of uncertainty. This book transcends the realm of traditional marketing literature. It stands as a useful resource, not merely adding elements to ongoing research but shaping the very future of how researchers, practitioners, and students engage with the dynamic world of data-driven marketing. It is strategically tailored to reach a diverse audience, offering valuable insights to academics and researchers exploring advanced topics, practitioners in the marketing industry seeking practical applications, and graduate students studying data science, marketing, and business analytics. Policymakers, ethicists, and industry regulators will find the dedicated section on ethical considerations particularly relevant, emphasizing the importance of responsible practices in the data-driven marketing landscape.
Digital Migration
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Author : Koen Leurs
language : en
Publisher: SAGE Publications Limited
Release Date : 2023-05-27
Digital Migration written by Koen Leurs and has been published by SAGE Publications Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-27 with Language Arts & Disciplines categories.
A comprehensive and impassioned account of the relationship between digital technology and migration. From ‘top-down’ governmental and corporate shaping of the migrant condition, to the ‘bottom-up’ of digital practices helping migrants connect, engage and resist.
Opinion Mining And Text Analytics On Literary Works And Social Media
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Author : Pantea Keikhosrokiani
language : en
Publisher:
Release Date : 2022
Opinion Mining And Text Analytics On Literary Works And Social Media written by Pantea Keikhosrokiani and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Artificial intelligence categories.
"This book uses artificial intelligence and big data analytics to conduct opinion mining and text analytics on literary works and social media, focusing on theories, method, applications and approaches of data analytic techniques that can be used to extract and analyze data from literary books and social media, in a meaningful pattern"--
Big Data Analytics
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Author : Mrutyunjaya Panda
language : en
Publisher: CRC Press
Release Date : 2018-12-12
Big Data Analytics written by Mrutyunjaya Panda and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-12 with Business & Economics categories.
Social networking has increased drastically in recent years, resulting in an increased amount of data being created daily. Furthermore, diversity of issues and complexity of the social networks pose a challenge in social network mining. Traditional algorithm software cannot deal with such complex and vast amounts of data, necessitating the development of novel analytic approaches and tools. This reference work deals with social network aspects of big data analytics. It covers theory, practices and challenges in social networking. The book spans numerous disciplines like neural networking, deep learning, artificial intelligence, visualization, e-learning in higher education, e-healthcare, security and intrusion detection.
Social Big Data Analytics
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Author : Bilal Abu-Salih
language : en
Publisher: Springer Nature
Release Date : 2021-03-10
Social Big Data Analytics written by Bilal Abu-Salih and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-10 with Business & Economics categories.
This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applications such as personalized recommendation systems, opinion analysis, expertise retrieval, and computational advertising. This book identifies how in such applications, social data offers a plethora of benefits to enhance the decision making process. This book highlights that business intelligence applications are more focused on structured data; however, in order to understand and analyse the social big data, there is a need to aggregate data from various sources and to present it in a plausible format. Big Social Data (BSD) exhibit all the typical properties of big data: wide physical distribution, diversity of formats, non-standard data models, independently-managed and heterogeneous semantics but even further valuable with marketing opportunities. The book provides a review of the current state-of-the-art approaches for big social data analytics as well as to present dissimilar methods to infer value from social data. The book further examines several areas of research that benefits from the propagation of the social data. In particular, the book presents various technical approaches that produce data analytics capable of handling big data features and effective in filtering out unsolicited data and inferring a value. These approaches comprise advanced technical solutions able to capture huge amounts of generated data, scrutinise the collected data to eliminate unwanted data, measure the quality of the inferred data, and transform the amended data for further data analysis. Furthermore, the book presents solutions to derive knowledge and sentiments from BSD and to provide social data classification and prediction. The approaches in this book also incorporate several technologies such as semantic discovery, sentiment analysis, affective computing and machine learning. This book has additional special feature enriched with numerous illustrations such as tables, graphs and charts incorporating advanced visualisation tools in accessible an attractive display.
Big Data And Social Media Analytics
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Author : Mehmet Çakırtaş
language : en
Publisher: Springer Nature
Release Date : 2021-07-05
Big Data And Social Media Analytics written by Mehmet Çakırtaş and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-05 with Mathematics categories.
This edited book provides techniques which address various aspects of big data collection and analysis from social media platforms and beyond. It covers efficient compression of large networks, link prediction in hashtag graphs, visual exploration of social media data, identifying motifs in multivariate data, social media surveillance to enhance search and rescue missions, recommenders for collaborative filtering and safe travel plans to high risk destinations, analysis of cyber influence campaigns on YouTube, impact of location on business rating, bibliographical and co-authorship network analysis, and blog data analytics. All these trending topics form a major part of the state of the art in social media and big data analytics. Thus, this edited book may be considered as a valuable source for readers interested in grasping some of the most recent advancements in this high trending domain.