The Office Hours: Introduction to Textual Data Analysis via Transcripts will explore the use cases and research derived insights found within textual data of corporate earnings calls. As Natural Language Processing (NLP) evolves, the ability to systematically analyze large volumes of text can influence and even change predictions for corporate and executive performance. We will discuss two common themes of earnings call analysis, a) Sentiment scores and b) behavioral metrics, before discussing other possible avenues of analysis.
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Praesent porttitor malesuada ornare. Etiam pellentesque vitae risus in elementum. Vivamus ex sem, maximus in ligula vitae, dictum luctus felis. Etiam et rutrum mauris, congue hendrerit nisi. Aenean lorem sem, consequat sit amet diam ut, pellentesque aliquet ante. Ut egestas massa mi, nec condimentum ipsum suscipit non. Interdum et malesuada fames ac ante ipsum primis in faucibus.
Praesent porttitor malesuada ornare. Etiam pellentesque vitae risus in elementum. Vivamus ex sem, maximus in ligula vitae, dictum luctus felis. Etiam et rutrum mauris, congue hendrerit nisi. Aenean lorem sem, consequat sit amet diam ut, pellentesque aliquet ante. Ut egestas massa mi, nec condimentum ipsum suscipit non. Interdum et malesuada fames ac ante ipsum primis in faucibus.
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