{"product_id":"data-science-for-economics-and-finance-methodologies-and-applications-9783030668938","title":"Data Science for Economics and Finance: Methodologies and Applications","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThis open-access book explores the use of data science, advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, and time series analysis for applications in economics and finance. It showcases successful applications of advanced data science solutions to extract new knowledge from data and improve economic forecasting models. The book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, providing them with an understanding of the main opportunities and challenges, methodological findings, and tools and frameworks for using data science. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 355 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 10 June 2021\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer Nature Switzerland AG\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThis comprehensive open-access book delves into the realm of data science, encompassing advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, and numerous other applications. Furthermore, it showcases successful instances of advanced data science solutions employed to extract valuable insights from data, enhancing economic forecasting models.\u003cbr\u003e\u003cbr\u003eThe book commences with an introductory chapter that provides an overview of the utilization of data science technologies in economics and finance. Subsequently, it comprises thirteen chapters, each presenting compelling success stories of applying specific data science methodologies to address various topics related to novel big data sources and technologies for economic analysis. These topics encompass social media and news, big data models leveraging supervised\/unsupervised (deep) machine learning, natural language processing for constructing economic and financial indicators, and forecasting and nowcasting of economic variables through time series analysis.\u003cbr\u003e\u003cbr\u003eThis book holds immense relevance for all stakeholders engaged in digital and data-intensive research in economics and finance. It serves as a valuable resource, aiding them in comprehending the primary opportunities and challenges, gaining familiarity with the latest methodological findings, and learning how to employ and assess the performance of novel tools and frameworks. Primarily targeting data scientists and business analysts leveraging data science technologies, this book also proves to be an invaluable resource for research students in disciplines and courses related to these topics.\u003cbr\u003e\u003cbr\u003eIn conclusion, readers will acquire modern and effective data science solutions to drive tangible innovations for economic and financial applications.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 574g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 155 x 232 x 25 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783030668938\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2021\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Paperback \/ softback","offer_id":44102904676602,"sku":"9783030668938","price":29.14,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1646168605418_book.jpg?v=1646918466","url":"https:\/\/shulphink.com\/products\/data-science-for-economics-and-finance-methodologies-and-applications-9783030668938","provider":"Shulph Ink","version":"1.0","type":"link"}