Decoding Sentiment NLP & Innovation Peli Grietzer, Lead Researcher Special CircumstancesI N RECENT YEARS, THERE’S BEEN GREAT interest in applying sentiment analysis and oth- er natural language processing techniques to the study of earning calls. While early applications were intended mainly to save human labor by au- tomatically skimming earning calls, new applica- tions have progressed towards augmenting analyst reading capacities. Effective use of natural lan- guage processing allows analysts to ‘read’ earnings reports in new ways by statistically extracting indi- cators that may not be immediately apparent using human intuition. To date, work in this area has mostly focused on enhancing analysts’ ability to psychologically pro- file executive speech. By computationally analy

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