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.
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.
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.
An analysis of recent earnings calls reveals that environmental investments remained a strong topic in the news. Specifically, we explore manufacturing and supply chain activity from energy giants Iberdrola and Enel as well as Air Canada making an investment in a carbon capture solution.
Read About Text AnalyticsFrom an ESG perspective, earnings this week focused on Clean Tech infrastructure including carbon capture and hydrogen. We also picked up increased commentary on Green Bonds as more companies and municipalities look to fund ESG initiatives in this manner.
Read About Text AnalyticsWhat question are executives most avoiding this year? We performed a Deception analysis with our text analytics platform to pinpoint one topic that drove the most deceptive responses by CEOs and CFOs in 2019 earnings calls.
Read About Text Analytics