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                <text>From Opinion Mining to Financial Argument Mining</text>
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                <text>Opinion mining is a prevalent research issue in many domains. In the financial domain, however, it is still in the early stages. Most of the researches on this topic only focus on the coarse-grained market sentiment analysis, i.e., 2-way classification for bullish/bearish. Thanks to the recent financial technology (FinTech) development, some interdisciplinary researchers start to involve in the in-depth analysis of investors' opinions. These works indicate the trend toward fine-grained opinion mining in the financial domain. When expressing opinions in finance, terms like bullish/bearish often spring to mind. However, the market sentiment of the financial instrument is just one type of opinion in the financial industry. Like other industries such as manufacturing and textiles, the financial industry also has a large number of products. Financial services are also a major business for many financial companies, especially in the context of the recent FinTech trend. For instance, many commercial banks focus on loans and credit cards. Although there are a variety of issues that could be explored in the financial domain, most researchers in the AI and NLP communities only focus on the market sentiment of the stock or foreign exchange. This open access book addresses several research issues that can broaden the research topics in the AI community. It also provides an overview of the status quo in fine-grained financial opinion mining to offer insights into the futures goals. For a better understanding of the past and the current research, it also discusses the components of financial opinions one-by-one with the related works and highlights some possible research avenues, providing a research agenda with both micro- and macro-views toward financial opinions.</text>
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                <text>Chen, Chung-Chi</text>
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                <text>Tatik</text>
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                <text>Monitored  : Business and Surveillance in a Time of Big Data</text>
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                <text>This book explores a central contradiction of 21st century economy and society: the more morally and politically unaccountable capitalism and capitalists are, the more accountable the mass majority of its subjects must become. The technocratic ideology and surveillance culture of our modern marketized societies hides a deeper reality of a free market that is unmanageable and a corporate elite whose actions cannot be traced let alone regulated. This work highlights the paradoxical way an often disjointed and unjustifiable modern neoliberalism persists through subjecting individuals and communities to a wide range of technical and ethical 'accounting' in all areas of contemporary life. These pervasive practices of monitoring and codifying everything and everyone mask how at its heart this system and its elites remain socially uncontrollable and ethically out of control.</text>
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                <text>Bloom, Peter</text>
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                <text>https://directory.doabooks.org/handle/20.500.12854/32770</text>
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                <text>Multilateral Banks and the Development Process</text>
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                <text>A chain is only as strong as its weakest link. When the links in the chain represent development projects, if individual projects fail to achieve their purpose, the development program's effectiveness is compromised. When the chain's links are strong and well-connected, the results are improved for the sector, country, and region. The role of multilateral banks is crucial; they inform the impact of development operations and support policymakers in decision making. This volume emphasizes that some crucial links in development tend to be systematically overlooked. In these matters, preoccupation with the immediate exigencies seems to come at the expense of attention to enduring problems-at a great cost to society. Development practitioners should apply policies that have produced results over time, ensuring that the links in the chain are strong, but too often they overlook those links-because of myopia, complexity, tradition, or special interests. This book will help policy makers and practitioners focus on the links that measure progress, apply lessons, and matter for lasting results.</text>
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Luo, Xubei</text>
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                <text>Recent years have witnessed considerable speculation about the potential of open data to bring about wide-scale transformation. The bulk of existing evidence about the impact of open data, however, focuses on high-income countries. Much less is known about open data’s role and value in low- and middle-income countries, and more generally about its possible contributions to economic and social development. Open Data for Developing Economies features in-depth case studies on how open data is having an impact across the developing world-from an agriculture initiative in Colombia to data-driven healthcare projects in Uganda and South Africa to crisis response in Nepal. The analysis built on these case studies aims to create actionable intelligence regarding: (a) the conditions under which open data is most (and least) effective in development, presented in the form of a Periodic Table of Open Data; (b) strategies to maximize the positive contributions of open data to development; and (c) the means for limiting open data’s harms on developing countries.</text>
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Young, Andrew</text>
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