Pre-processing online financial text for sentiment classification: A natural language processing approach

Abstract

Online financial textual information contains a large amount of investor sentiment, i.e. subjective assessment and discussion with respect to financial instruments. An effective solution to automate the sentiment analysis of such large amounts of online financial texts would be extremely beneficial. This paper presents a natural language processing (NLP… (More)
DOI: 10.1109/CIFEr.2014.6924063

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