Alexandria Transcript Text Analytics
收藏Snowflake2021-05-24 更新2024-05-01 收录
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资源简介:
Enhance your investment analysis with global coverage of company transcripts that can be turned into a top-down factor.
Consistently capture sentiment and topics in transcripts to forecast risk, direction and volatility. Every transcript is broken down into sections, which are then classified by topics. There are 250 topics, including Accounting, Commodity Costs, Guidance, Product Recall, Regulations, Technology, and more.
Leap beyond lexicon and price-derived NLP. Alexandria’s programs can match a professional investment analyst with >91% accuracy, processing each article in 1/10th the blink of an eye, across the thousands of call transcripts published every day from around the world.
Alexandria’s global transcripts dataset is the application of proprietary algorithms on company transcripts; as well as on earnings, investor, and all public company calls. Each transcript is parsed into many sections of structured data, each showing detail on what was said in that section including the topic, the sentiment, the speaker and more.
For more information, please visit https://www.alexandriatechnology.com/
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借助覆盖全球的企业会议转录文本,将其转化为自上而下的投资分析因子,助力优化您的投资分析工作。
可持续提取会议转录文本中的情感倾向与主题,用于预测风险、市场走势与波动率。每份转录文本均会拆解为多个段落板块,随后按主题进行分类。该数据集涵盖250类主题,包括会计核算、大宗商品成本、业绩指引、产品召回、监管政策、技术等诸多类别。
可超越基于词汇表与价格衍生的自然语言处理(Natural Language Processing, NLP)方案。Alexandria的相关程序能够以超过91%的准确率匹配专业投资分析师的分析结果,单篇文本的处理速度仅为眨眼瞬间的十分之一,可覆盖全球每日发布的数千通公开电话会议转录文本。
Alexandria全球会议转录文本数据集,是将专有算法应用于企业会议转录文本、财报电话会议、投资者沟通会议及所有公开企业通话转录内容的成果。每份转录文本均会被解析为多个结构化数据板块,各板块可展示该板块发言的详细信息,包括主题、情感倾向、发言者等诸多内容。
如需了解更多信息,请访问 https://www.alexandriatechnology.com/
*由FactSet提供技术支持
提供机构:
Alexandria Technology
创建时间:
2021-05-19
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集通过专有算法对全球公司会议记录进行结构化分析,将每份文本按250个主题分类并标注情感倾向,处理速度达每秒数千份,分析准确率超91%。数据涵盖财报电话会等公开会议记录,提供话题、情感、发言人等结构化字段。
以上内容由遇见数据集搜集并总结生成



