Helios MERCURY - Voice Sentiment Data (USA) - Emotion Signals Gathered from Earnings Calls

Helios MERCURY delivers a proprietary assessment of the emotion experienced by each speaker during his/her responses to the questions in the earnings call. The Helios MERCURY product can be used to access a single distress measurement for each earnings call or gain custom access to multiple levels of distress measurements and evaluate each statement. The information from voice-based tone adds distinctive information to firm performance and analyst’s understanding not derived from text-based sentiment alone. Use MERCURY to: - DETECT the emotional state of each executive during an earnings call - ANALYZE voice output of theses earnings calls to identify specific emotional mapping information that is not present in the verbal content - UTILIZE the emotions to understand how firm performance will be impacted in the future - LEVERAGE the interpretation of Analysts to understand how they’ll revise estimates Helios MERCURY delivers: - Measurements of distress across different equities in a portfolio - Measurements of distress across different earnings calls dating back to 2005 - Measurements of distress in response to different questions within one earnings call The Result: - Provide independent, additive information - Add emotion on top of text-based sentiment - Index and characterize average distress values across earnings calls and equities

搜集汇总

背景与挑战

背景概述

Helios MERCURY数据集通过分析美国财报电话会议中的语音信号，提供专有的情感评估和压力测量，以补充文本情感分析。它能够检测高管情绪、分析语音输出中的额外情感信息，并帮助预测公司绩效和影响分析师评估，数据可追溯至2005年。