We integrated our text analytics with Evercore ISI Research to analyze a decade of transcript data on historical trends in trade war sentiment from earnings call transcripts.

By
Evercore ISI Research
|
January 9, 2019

Evercore ISI: Tracking Trade War Sentiment with Natural Language Processing

White Paper

Deploying NLP to Analyze Trade War Sentiment at Scale

Given the geo-political issues around trade, Evercore ISI Research applied our natural language processing (NLP) model to analyze the prevalence of trade war sentiment with the goal of objectively defining company concerns about trade. This project involved applying our NLP model on quarterly earnings call transcripts going back to 2003.

In this white paper our text analytics model extracted commentary regarding the topic of trade war along with the sentiment (positive and negative) to understand the historical pattern around trade and its implications.

Access This White Paper

To obtain a copy of this analysis for the November 9, 2018 publication: Tracking Sentiment With Natural Language Processing, email: david@amenityanalytics.com

This communication does not represent investment advice. Transcript text provided by S&P Global Market Intelligence. Analysis provided in collaboration with Evercore ISI Research.

Copyright ©2019 Amenity Analytics. 

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