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Textual Analysis in Finance by kexin tang is a document available to read on EtoBox.

This document reviews the growing importance of textual analysis in finance, focusing on its application in areas such as social media, political bias, and fraud detection. It discusses the construction of lexicons and the measurement of readability, arguing for a shift towards measuring complexity instead. The review highlights various studies that demonstrate the effectiveness of textual analysis in predicting market behavior and identifying fraudulent activities.

Author
kexin tang
Language
EN