Share

Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities

2021-01-08 Computers
Download Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities PDF Online Free

Author :
Release : 2021-01-08
Genre : Computers
Kind : eBook
Book Rating : 734/5 ( reviews)

GET EBOOK


Book Synopsis Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities by : Paul, Dimple Valayil

Download or read book Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities written by Paul, Dimple Valayil. This book was released on 2021-01-08. Available in PDF, EPUB and Kindle. Book excerpt: The main problems that prevent fast and high-quality document processing in electronic document management systems are insufficient and unstructured information, information redundancy, and the presence of large amounts of undesirable user information. The human factor has a significant impact on the efficiency of document search. An average user is not aware of the advanced option of a query language and uses typical queries. Development of a specialized software toolkit intended for information systems and electronic document management systems can be an effective solution of the tasks listed above. Such toolkits should be based on the means and methods of automatic keyword extraction and text classification. The categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last 10 years due to the increased availability of documents in digital form and the ensuing need to organize them. Thus, research on keyword extraction, advancements in the field, and possible future solutions is of great importance in current times. Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities presents an information extraction mechanism that can process many kinds of inputs, realize the type of text, and understand the percentage of the keywords that has to be stored. This mechanism then supports information extraction and information categorization mechanisms. This module is used to support a text summarization mechanism, which leads—with the help of the keyword extraction module—to text categorization. It employs lexical and information retrieval techniques to extract phrases from the document text that are likely to characterize it and determines the category of the retrieved text to present a summary to the users. This book is ideal for practitioners, stakeholders, researchers, academicians, and students who are interested in the development of a new keyword extractor and document classifier method.

New Opportunities for Sentiment Analysis and Information Processing

2021-06-25 Computers
Download New Opportunities for Sentiment Analysis and Information Processing PDF Online Free

Author :
Release : 2021-06-25
Genre : Computers
Kind : eBook
Book Rating : 63X/5 ( reviews)

GET EBOOK


Book Synopsis New Opportunities for Sentiment Analysis and Information Processing by : Sharaff, Aakanksha

Download or read book New Opportunities for Sentiment Analysis and Information Processing written by Sharaff, Aakanksha. This book was released on 2021-06-25. Available in PDF, EPUB and Kindle. Book excerpt: Multinational organizations have begun to realize that sentiment mining plays an important role for decision making and market strategy. The revolutionary growth of digital marketing not only changes the market game, but also brings forth new opportunities for skilled professionals and expertise. Currently, the technologies are rapidly changing, and artificial intelligence (AI) and machine learning are contributing as game-changing technologies. These are not only trending but are also increasingly popular among data scientists and data analysts. New Opportunities for Sentiment Analysis and Information Processing provides interdisciplinary research in information retrieval and sentiment analysis including studies on extracting sentiments from textual data, sentiment visualization-based dimensionality reduction for multiple features, and deep learning-based multi-domain sentiment extraction. The book also optimizes techniques used for sentiment identification and examines applications of sentiment analysis and emotion detection. Covering such topics as communication networks, natural language processing, and semantic analysis, this book is essential for data scientists, data analysts, IT specialists, scientists, researchers, academicians, and students.

Applications of Big Data in Large- and Small-Scale Systems

2021-01-15 Computers
Download Applications of Big Data in Large- and Small-Scale Systems PDF Online Free

Author :
Release : 2021-01-15
Genre : Computers
Kind : eBook
Book Rating : 750/5 ( reviews)

GET EBOOK


Book Synopsis Applications of Big Data in Large- and Small-Scale Systems by : Goundar, Sam

Download or read book Applications of Big Data in Large- and Small-Scale Systems written by Goundar, Sam. This book was released on 2021-01-15. Available in PDF, EPUB and Kindle. Book excerpt: With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizations generate a huge volume of data and at a much faster rate than several years ago. Big data in large-/small-scale systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business intelligence. From governments to private organizations, from communities to individuals, all areas are being affected by this shift. There is a high demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle this demand and this increase in big data, there needs to be research on innovative and optimized machine learning algorithms in both large- and small-scale systems. Applications of Big Data in Large- and Small-Scale Systems includes state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of big data and presents the latest innovative and intelligent applications related to big data. This book encompasses big data in various multidisciplinary fields from the medical field to agriculture, business research, and smart cities. While highlighting topics including machine learning, cloud computing, data visualization, and more, this book is a valuable reference tool for computer scientists, data scientists and analysts, engineers, practitioners, stakeholders, researchers, academicians, and students interested in the versatile and innovative use of big data in both large-scale and small-scale systems.

Industry Use Cases on Blockchain Technology Applications in IoT and the Financial Sector

2021-03-18 Computers
Download Industry Use Cases on Blockchain Technology Applications in IoT and the Financial Sector PDF Online Free

Author :
Release : 2021-03-18
Genre : Computers
Kind : eBook
Book Rating : 521/5 ( reviews)

GET EBOOK


Book Synopsis Industry Use Cases on Blockchain Technology Applications in IoT and the Financial Sector by : Mahmood, Zaigham

Download or read book Industry Use Cases on Blockchain Technology Applications in IoT and the Financial Sector written by Mahmood, Zaigham. This book was released on 2021-03-18. Available in PDF, EPUB and Kindle. Book excerpt: Blockchain technology presents numerous advantages that include increased transparency, reduced transaction costs, faster transaction settlement, automation of information, increased traceability, improved customer experience, improved digital identity, better cyber security, and user-controlled networks. These potential applications are widespread and diverse including funds transfer, smart contracts, e-voting, efficient supply chain, and more in nearly every sector of society including finance, healthcare, law, trade, real estate, and other important areas. However, there are challenges and limitations that exist such as high energy consumption, limited scalability, complexity, security, network size, lack of regulations, and other critical issues. Nevertheless, blockchain is an attractive technology and has much to offer to the modern-day industry. Industry Use Cases on Blockchain Technology Applications in IoT and the Financial Sector investigates blockchain technology’s adoption and effectiveness in multiple industries and for the internet of things (IoT)-based applications, presents use cases from industrial and financial sectors as well as from other transaction-based services, and fills a gap in this respect by extending the existing body of knowledge in the suggested field. While highlighting topics such as cybersecurity, use cases, and models for blockchain implementation, this book is ideal for business managers, financial accountants, practitioners, researchers, academicians, and students interested in blockchain technology’s role and implementation in IoT and the financial sector.

Intelligent Analytics With Advanced Multi-Industry Applications

2021-01-08 Computers
Download Intelligent Analytics With Advanced Multi-Industry Applications PDF Online Free

Author :
Release : 2021-01-08
Genre : Computers
Kind : eBook
Book Rating : 643/5 ( reviews)

GET EBOOK


Book Synopsis Intelligent Analytics With Advanced Multi-Industry Applications by : Sun, Zhaohao

Download or read book Intelligent Analytics With Advanced Multi-Industry Applications written by Sun, Zhaohao. This book was released on 2021-01-08. Available in PDF, EPUB and Kindle. Book excerpt: Many fundamental technological and managerial issues surrounding the development and implementation of intelligent analytics within multi-industry applications remain unsolved. There are still questions surrounding the foundation of intelligent analytics, the elements, the big characteristics, and the effects on business, management, technology, and society. Research is devoted to answering these questions and understanding how intelligent analytics can improve healthcare, mobile commerce, web services, cloud services, blockchain, 5G development, digital transformation, and more. Intelligent Analytics With Advanced Multi-Industry Applications is a critical reference source that explores cutting-edge theories, technologies, and methodologies of intelligent analytics with multi-industry applications and emphasizes the integration of artificial intelligence, business intelligence, big data, and analytics from a perspective of computing, service, and management. This book also provides real-world applications of the proposed concept of intelligent analytics to e-SMACS (electronic, social, mobile, analytics, cloud, and service) commerce and services, healthcare, the internet of things, the sharing economy, cloud computing, blockchain, and Industry 4.0. This book is ideal for scientists, engineers, educators, university students, service and management professionals, policymakers, decision makers, practitioners, stakeholders, researchers, and others who have an interest in how intelligent analytics are being implemented and utilized in diverse industries.

You may also like...