NLP analysis in social media using big data technologies

The introduction of new and the evolution of existing social media technologies have enabled efficient and broader communication through online social interaction. Today consumers' thinking has shifted towards their trusted network for guidance rather than simply accepting what organisations tell them. With the advent of social interaction, knowledge management paradigms are being stretched beyond their ability to deliver useful results, which is forcing change within organisations globally. Using only transactional and internal data will result in mistaken conclusions or missed opportunities. Social media helps organisations acquire and manage massive amounts of data to better understand their customers, products, competition, and markets and make better decisions using Big Data solutions. These solutions enable organisations to decide on the basis of evidence rather than intuition. This chapter introduces Big Data, Big Data technologies used for capturing knowledge from social media and discusses Big Data Solutions for organizations.

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Big Data Applications and Architectures for Emerging Countries

Advancing Innovation and Sustainable Outcomes in International Graduate Education - Advances in Higher Education and Professional Development ◽

10.4018/978-1-7998-5514-9.ch008 ◽

2021 ◽

pp. 120-142

Author(s):

Anil K. Maheshwari

Keyword(s):

Social Media ◽

Big Data ◽

Special Needs ◽

Emerging Countries ◽

Healthcare Sector ◽

Healthcare Applications ◽

Big Data Applications ◽

Big Data Technologies

Exponential increases in generation of data, especially through social media, has found an increased influence in society over the last decade. This chapter provides an overview of big data technologies and architectures and how this data could be applied to meet the special needs of the emerging societies. Healthcare applications are most important, especially for the rural and the marginal sections of society. This chapter lays out architecture designs of 10 big data applications with half of them relating to the healthcare sector. These designs can be seeds for the implementation of other imaginative beneficial big data applications.

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Business Intelligence Model to analyze Social Media through Big Data analytics

SHS Web of Conferences ◽

10.1051/shsconf/202111907006 ◽

2021 ◽

Vol 119 ◽

pp. 07006

Author(s):

Kawtar Mouyassir ◽

Mohamed Hanine ◽

Hassan Ouahmane

Keyword(s):

Social Media ◽

Big Data ◽

Business Intelligence ◽

Qualitative Data ◽

Big Data Analytics ◽

Decision Makers ◽

Social Business ◽

Social Media Networks ◽

Big Data Technologies ◽

Voice Of Customer

Business Intelligence (BI) is a collection of tools, technologies, and practices that include the entire process of collecting, processing, and analyzing qualitative information, to help entrepreneurs better understand their business and marketplace. Every day, social networks expand at a faster rate and pace, which sees them as a source of Big Data. Therefore, BI is developed in the same way on VoC (Voice of Customer) expressed in social media as qualitative data for company decision-makers, who desire to have a clear perception of customers’ behaviour. In this article, we present a comparative study between traditional BI and social BI, then examine an approach to social business intelligence. Next, we are going to demonstrate the power of Big Data that can be integrated into BI so that we can finally describe in detail how Big Data technologies, like Apache Flume, help to collect unstructured data from various sources such as social media networks and store it in Hadoop storage.

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Big Data and National Cyber Security Intelligence

Advances in Public Policy and Administration - Managing Big Data Integration in the Public Sector ◽

10.4018/978-1-4666-9649-5.ch013 ◽

2016 ◽

pp. 231-244

Author(s):

A. G. Rekha

Keyword(s):

Social Media ◽

Big Data ◽

Cyber Security ◽

Intelligence Analysis ◽

Cyber Terrorism ◽

Web Logs ◽

Big Data Technologies ◽

Tools And Techniques ◽

National Governments ◽

Security Analytics

With the availability of large volumes of data and with the introduction of new tools and techniques for analysis, the security analytics landscape has changed drastically. To face the challenges posed by cyber-terrorism, espionage, cyber frauds etc. Government and law enforcing agencies need to enhance the security and intelligence analysis systems with big data technologies. Intelligence and security insight can be improved considerably by analyzing the under-leveraged data like the data from social media, emails, web logs etc. This Chapter provides an overview of the opportunities presented by Big Data to provide timely and reliable intelligence in properly addressing terrorism, crime and other threats to public security. This chapter also discusses the threats posed by Big Data to public safety and the challenges faced in implementing Big Data security solutions. Finally some of the existing initiatives by national governments using Big Data technologies to address major national challenges has been discussed.

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Social Media and Big Data

Decision Management ◽

10.4018/978-1-5225-1837-2.ch092 ◽

2017 ◽

pp. 1943-1960

Author(s):

Meena Jha ◽

Sanjay Jha ◽

Liam O'Brien

Keyword(s):

Social Media ◽

Big Data ◽

Knowledge Management ◽

Social Interaction ◽

Missed Opportunities ◽

Media Technologies ◽

Big Data Technologies ◽

Management Paradigms ◽

Online Social Interaction

The introduction of new and the evolution of existing social media technologies have enabled efficient and broader communication through online social interaction. Today consumers' thinking has shifted towards their trusted network for guidance rather than simply accepting what organisations tell them. With the advent of social interaction, knowledge management paradigms are being stretched beyond their ability to deliver useful results, which is forcing change within organisations globally. Using only transactional and internal data will result in mistaken conclusions or missed opportunities. Social media helps organisations acquire and manage massive amounts of data to better understand their customers, products, competition, and markets and make better decisions using Big Data solutions. These solutions enable organisations to decide on the basis of evidence rather than intuition. This chapter introduces Big Data, Big Data technologies used for capturing knowledge from social media and discusses Big Data Solutions for organizations.

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Relevance of Big Data Technologies to and users in Context of Social Networking Applications

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.f9468.038620 ◽

2020 ◽

Vol 8 (6) ◽

pp. 4182-4186

Keyword(s):

Social Media ◽

Big Data ◽

Social Networking ◽

Data Storage ◽

Vital Role ◽

Research Article ◽

The Social ◽

Big Data Technologies ◽

Social Media Platforms ◽

Big Data Storage

Unremitting generation of data by various data analytics platforms, ubiquitous ,edge nodes and social networks in the concurrent scenario has shaped the exceptional amount of data in volume, velocity, veracity, variety and value. Exceptional data have made traditional information technology and method unfeasible to cope up amid. This exceptional data has been termed as Big Data. Social media is one of the most important sources of Big Data. social media is a constituent of Big Data. Besides Big Data plays a vital role in moving forward the Social Networking Applications to innovate and enhance the experience of users. Various technologies are factored for Big Data storage, processing and analysis in the context of social networking. This paper investigates these technologies which are being used by social networking applications with their relevance to the end users. The research article provides a relevance computation of various social media platforms. It further summarizes a visualization of the use of the platforms in their contribution to the big data.

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RESEARCH BIG DATA TECHNOLOGIES TO IMPLEMENT A SOCIAL MEDIA MONITORING SYSTEM

СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ ◽

10.36622/vstu.2021.84.2.011 ◽

2021 ◽

pp. 48-52

Author(s):

Д.А. Безгинов ◽

А.В. Потемкин

Keyword(s):

Social Media ◽

Big Data ◽

Social Network ◽

Monitoring System ◽

Processing Data ◽

Big Data Technologies ◽

Social Media Monitoring ◽

Media Monitoring

В статье предложен вариант развертывания и использования отказоустойчивого кластера, предназначенного для хранения и обработки данных социальной сети «ВКонтакте». Полученные результаты предлагается использовать для информационно-аналитического обеспечения органов государственной власти. The article proposes a variant of deploying and using a failover cluster designed for storing and processing data from the VKontakte social network. The obtained results are proposed to be used for information and analytical support of government bodies.

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Big Data and National Cyber Security Intelligence

Big Data ◽

10.4018/978-1-4666-9840-6.ch038 ◽

2016 ◽

pp. 814-827

Author(s):

A. G. Rekha

Keyword(s):

Social Media ◽

Big Data ◽

Cyber Security ◽

Intelligence Analysis ◽

Cyber Terrorism ◽

Web Logs ◽

Big Data Technologies ◽

Tools And Techniques ◽

National Governments ◽

Security Analytics

With the availability of large volumes of data and with the introduction of new tools and techniques for analysis, the security analytics landscape has changed drastically. To face the challenges posed by cyber-terrorism, espionage, cyber frauds etc. Government and law enforcing agencies need to enhance the security and intelligence analysis systems with big data technologies. Intelligence and security insight can be improved considerably by analyzing the under-leveraged data like the data from social media, emails, web logs etc. This Chapter provides an overview of the opportunities presented by Big Data to provide timely and reliable intelligence in properly addressing terrorism, crime and other threats to public security. This chapter also discusses the threats posed by Big Data to public safety and the challenges faced in implementing Big Data security solutions. Finally some of the existing initiatives by national governments using Big Data technologies to address major national challenges has been discussed.

Download Full-text