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This mograph surveys the techlogy and empirics of text analytics in finance. It presents various tools of information extraction and basic text analytics, surveying a range of techniques of classification and predictive analytics algorithms. It then reviews the literature on text mining and metrics used to assess the performance of text predictive analytics in finance, and its connection to networks, covering a wide range of text sources such as blogs, news, web posts, corporate filings, and more.
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Date of Publication
Business, Accounting & Vocational: Textbooks & Study Guides