A recent study from Quantitative Management Associates applied Amenity Analytics’ NLP platform to quantify the impact of using unstructured data analysis in Finance. To conduct their research the authors applied our text analytics methodology which scores earnings call transcripts based on sentiment extracted from financial events identified within the text.
The research detailed how the application of our NLP model to earnings call transcripts yielded three statistically significant results:
These findings indicate how text analytics adds a meaningful layer of insight for investors that can’t be obtained from structured data.
To obtain a copy of this research you can visit the Journal of Financial Data Science for the Volume 1, Issue 1, Winter 2019 publication: A Practical Approach to Advanced Text Mining in Finance.
Please note: This in no way represents investment advice. All transcript text provided by S&P Global Market Intelligence. Analysis provided in collaboration with Quantitative Management Associates.
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