Corporate Event Prediction Using Earning Call Transcripts
摘要
This paper addresses the task of predicting the occurrence of corporate events based on earning call transcripts. We introduce a novel dataset of earning call transcripts specifically curated for corporate event prediction. Through a comprehensive analysis, we explore what kind of information is presented in the transcripts that can be utilized for event prediction. Our experimental results with various machine learning models demonstrate the feasibility of automating this challenging task.