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Transcripts Model US

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Snowflake2023-07-21 更新2024-05-01 收录
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Transcripts Model US is a unique sentiment signal based on US earnings call transcripts. The model is generated using our tailor-made NLP engine which is trained recursively using a corpus of over 200,000 transcripts going back to 1999. We utilize the NLP engine to produce both Bag-of-words and word-embedding features, on which we train a machine-learning model to predict future stock returns. Only a single table is provided. Fields: - Date - Ticker - Ticker PointInTime - CUSIP - CUSIP PointInTime - ISIN - ISIN PointInTime - Transcript_ID - Transcript Model Bag of Words Component Score - Transcript Model Embedding Component Score - Transcript Model Score - Transcript Model Residualized Score
提供机构:
ExtractAlpha
创建时间:
2023-07-21
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