Textual and Quantitative Analysis: Towards a New, e-Mediated Social Science

Topics:
Reporting and Control
Tags:
Finance,
Financial,
Financial Accounting,
Manual Analysis,
Metaphor,
Quantitative Analysis,
University Of Surrey
Source:
University of Surrey

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Overview: This paper describes a method for automatically extracting sentiment from texts: the frequency of use of positive and negative sentiment words that may reflect a community's sentiment. The method is applied to a corpus of financial news text to automatically extract frequent key terms and symbols; and automatically disambiguate key terms and symbols. Manual analysis suggests that spatial metaphors (fall/rise, up/down), speed metaphors (accelerate or decelerate) and biological metaphors (growth/decay) are prevalent in financial texts. The use of key words and metaphors in financial text appears to be governed by a set of rules that some authors refer to as a local grammar.

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Format: PDF | Size: 77KB | Pages: 12

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