Corpulyzer: A Novel Framework for Building Low Resource Language Corpora

Tahir, Bilal; Mehmood, Muhammad Amir

doi:10.1109/access.2021.3049793

Cited by 10 publications

(3 citation statements)

References 54 publications

(40 reference statements)

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“…Neuromorphic computing [8] has its roots in the study of neural networks and the desire to make computers work like brains do when they process information quickly. In the early days of study in this area, biologically based methods and structures were created.…”

Section: Review Of Literaturementioning

confidence: 99%

“…Blockchain's ability to keep an unchangeable record of where a product came from helps supply chain management by making sure that everything is clear and can be tracked. In healthcare [8], [12], storing patient data on a blockchain makes them safer, easier to access, and more compatible with other systems. Music and art are looking into blockchain as a way to make royalty payments and track where an item came from more open.…”

Section: B Beyond Cryptocurrencies: Applications In Various Industriesmentioning

confidence: 99%

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Frontiers of Computing - Evolutionary Trends and Cutting-Edge Technologies in Computer Science and Next Generation Application

Samir N. Ajani,

2024

jes

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The cutting edge of computing is always changing because people are always looking for new ways to do things and combining cutting-edge tools. There are a number of natural trends that will affect the next generation of apps. Quantum computing is one of the most important trends. It is a new way of doing things that uses the rules of quantum physics to do calculations at speeds that are impossible with regular computers. Quantum computing could help solve hard issues in security, optimization, and modeling, which would lead to new science discoveries and technological progress.Neuromorphic computing, which is based on the structure of the human brain, is another new realm. The goal of this revolutionary way of computing is to create artificial neural networks that can learn, change, and process information in ways that are similar to how biological systems do it. There is a lot of promise for neuromorphic computing to improve machine learning and make AI apps more efficient and complex.The world of computing is also changing because artificial intelligence (AI) and edge computing are coming together. Edge computing brings computing power closer to the data source, which lowers delay and improves real-time processing. This is why it is so important for the growth of technologies like self-driving cars, smart cities, and the Internet of Things (IoT).Adding blockchain technology is another step forward that will make sure deals in open systems are safe and clear. Blockchain is used for more than just cryptocurrency. It has an impact on supply chain management, healthcare, and banking, among other areas. The quantum computing, neuromorphic computing, the combination of AI and edge computing, and the use of blockchain technology are all on the cutting edge of computing. Together, these trends bring computer science into a new era and lay the groundwork for groundbreaking uses that will shape the future of technology.

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Section: Review Of Literaturementioning

confidence: 99%

Section: B Beyond Cryptocurrencies: Applications In Various Industriesmentioning

confidence: 99%

Frontiers of Computing - Evolutionary Trends and Cutting-Edge Technologies in Computer Science and Next Generation Application

Samir N. Ajani,

2024

jes

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“…The work carried out by Serrano [50] has investigated the impact of deep learning for computing the learning relevance towards searching voluminous web-content. It is to be noted that a structured corpora is required for building effective SEO as noted in work of Tahir et al [51]. The work carried out by Yuan et al [52] have used a supervised learning approach for feature normalization in order to improvise the interaction process of web contents.…”

Section: Review Of Seo Approaches Using MLmentioning

confidence: 99%

Insights into Search Engine Optimization using Natural Language Processing and Machine Learning

Vinutha¹,

Padma²

2023

IJACSA

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Among the potential tools in digital marketing, Search Engine Optimization (SEO) facilitates the use of appropriate data by providing appropriate results according to the search priority of the user. Various research-based approaches have been developed to improve the optimization performance of search engines over the past decade; however, it is still unclear what the strengths and weaknesses of these methods are. As a result of the increased proliferation of Machine Learning (ML) and Natural Language Processing (NLP) in complex content management, there is potential to achieve successful SEO results. Therefore, the purpose of this paper is to contribute towards performing an exhaustive study on the respective NLP and ML methodologies to explore their strengths and weaknesses. Additionally, the paper highlights distinct learning outcomes and a specific research gap intended to assist future research work with a guideline necessary for optimizing search engine performance.

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Analyzing the Web: Are Top Websites Lists a Good Choice for Research?

Alby

Jäschke

2022

Lecture Notes in Computer Science

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Corpulyzer: A Novel Framework for Building Low Resource Language Corpora

Cited by 10 publications

References 54 publications

Frontiers of Computing - Evolutionary Trends and Cutting-Edge Technologies in Computer Science and Next Generation Application

Frontiers of Computing - Evolutionary Trends and Cutting-Edge Technologies in Computer Science and Next Generation Application

Insights into Search Engine Optimization using Natural Language Processing and Machine Learning

Analyzing the Web: Are Top Websites Lists a Good Choice for Research?

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