Journal of Advanced Research in Networking and Communication Engineering

A Review of Sentiment Analysis In Machine Learning for Stock Prediction on Twitter and Stocktwits

Pratiksha Bagga — 2024-05-30

The increasing influence of online platforms, particularly social media, has propelled Sentiment Analysis or Opinion Mining to prominence. This paper explores sentiment analysis concerning stock prediction on microblogging platforms such as Twitter and Stocktwits. With the surge in internet users and the growing impact of online review sites, sentiment analysis has become a pivotal tool for gauging public sentiment toward stocks. Sentiment Analysis in Machine Learning for Stock Prediction on Twitter and Stocktwits critically examines the applicability of sentiment mining to financial markets through social media. The paper conducts a comprehensive review of existing sentiment analysis techniques, with a specific focus on feature extraction methodologies. The objective is to identify research gaps, highlighting both well-explored and less-addressed areas in this domain. The research methodology involves an extensive study of scholarly works, emphasizing the evolving landscape of feature extraction. The anticipated outcome aims to uncover insights into feature selection techniques, providing valuable input for future research directions. This study consolidates knowledge, offering researchers a roadmap to advance sentiment analysis in the context of stock prediction on Twitter and Stocktwits.

Big Data Analytics

Ishita Malhotra — 2024-05-30

In the information era, enormous amounts of data have become available decision decision-makers. Big Data refers to datasets that are not only big but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. These massive quantities of data, known, have many benefits and applications for researchers. As Big Data is high in variety, datasets are difficult to handle using traditional tools & techniques. Due to these issues, solutions need to be provided to handle and extract knowledge from these datasets. The decision-makers need to be able to gain valuable insights from such varied and rapidly changing data, ranging from daily transactions to customer interactions and social network data. Those values can be fetched using Big Data Analysis. This paper aims to summarize some of the different analytical methods and tools that can be applied to Big Data.

The Impact of Ai on the Future of Work: Analyzing Job Displacement, Reskilling Strategies, and Emerging Employment Opportunities

Zishan Ahmed Zuber Ahmed Siddique — 2024-05-30

The rapid advancement of artificial intelligence (AI) is intricately shaping the future of work, presenting a dual challenge and opportunity landscape. While concerns about job displacement arise due to AIâ€™s automation of tasks, it also fosters new industries and job opportunities, demanding a revaluation of traditional career paths. This paper thoroughly examines AIâ€™s impact on job displacement, reskilling strategies, and emerging employment opportunities. It underscores the need for proactive policies to ensure a sustainable and equitable transition. Emphasizing the importance of lifelong learning and addressing social implications, the paper advocates collaborative efforts among governments, businesses, and educational institutions to harness AIâ€™s transformative power for a more productive, prosperous, and equitable future of work.

Unveiling the Future: Assessing the Impact of 5G Technology on Networking Infrastructures

Pratishtha - — 2024-05-30

The advent of 5G technology stands at the forefront of a monumental shift in networking paradigms, promising to redefine the way information is transmitted, processed, and utilized. The paper navigates the intricate landscape of 5G, dissecting its technological foundations and unravelling the far-reaching consequences on networking infrastructures. Also, commences by elucidating the key technological advancements underpinning 5G networks, emphasizing their potential to revolutionize communication paradigms. The investigation extends to explore the multifaceted implications of 5G on various sectors, including telecommunications, healthcare, smart cities, and the Internet of Things (IoT). It evaluates the strategies and solutions proposed to address these challenges and ensure the seamless integration of 5G into existing networking frameworks. While exploring the promises of 5G, the research also addresses the challenges inherent in its widespread adoption. This research scrutinizes the impediments to the widespread implementation of 5G, including security concerns, infrastructure demands, and spectrum allocation issues. The exploration begins with the technological foundations of 5G, highlighting its key attributes and distinguishing features that set it apart from previous generations. The paper scrutinizes the seismic impact of 5G on networking performance parameters, including data transfer speeds, latency reduction, and the capacity to connect an unprecedented number of devices simultaneously. It critically evaluates proposed solutions and strategies devised to overcome these challenges, ensuring a resilient and secure 5G networking environment.

Understanding Threat Intelligence And Cyber Threat Hunting

Chintan Sandeep Kadam — 2024-05-30

Organizations must enhance their digital security in an era marked by continuous cyber assaults. This study dives into threat intelligence and cyber threat hunting, both of which are critical components of modern cybersecurity. This study emphasizes the vital significance of threat intelligence in proactively relating to and mollifying possible threats by explaining the definitions, types, and sources of threat intelligence, as well as the iterative process of cyber threat hunting. Furthermore, the paper investigates the significance of these practices in strengthening cybersecurity, addresses the issues that companies have during implementation, and suggests solutions to overcome these obstacles. In the face of an ever-changing threat landscape, the findings accentuate the importance of a proactive, collaborative, and adaptive strategy for cybersecurity.