Quantitative Earnings Calls

OVERVIEW:

Anvil our next-generation AI platform, continually monitors earnings call and generates turn-by-turn AI signals from that critical content across several analytical dimensions including (i) statistical, (ii) sentiment, (iii) evasiveness, and (iv) emotive dimensions.

This collection of scores gives you cutting edge modeling fuel for the most sophisticated forms of analysis. Expressed as a time series, the applied and generated scores take advantage of Anvil’s unique resolution, modeling, and knowledge graph capabilities. Free yourself from having to build and maintain complex and highly nuanced language models so you can focus on combining and fusing these scores with traditional factors and fundamental data.

The data is delivered in a simple, structured format to let you immediately incorporate it into internal human facing applications, algorithms, and data science environments.

SCALE:

- Focused on companies listed US Exchanges
- Detailed identifiers
- 10 Year plus history
- Continually Updated
- Various SLA options for delivery

TECHNOLOGY & METHODS:

Anvil, FiscalNote AI Solutions next-generation AI platform utilizes highly proprietary natural language understanding models, unique knowledge graph capabilities and our proprietary AI engines to identify highly specialized speaker by speaker and transcript by transcript scores. Models are applied at each intersection point to generate multiple scores, ranging from sentiment to readability and more. Full data provenance is always maintained. Readily fused with other data sets provided by FiscalNote AI Solutions to create additional factors and dimensions for both augmented analytical insights and quantitative modeling.

PARTIAL SAMPLE OF KEY FIELDS:

- Company identifiers
- Identified Speakers
- Date / Time
- Scores (e.g. Loughran McDonald, Harvard-IV, VADER etc)
- Speaker "snippets"
- Full data dictionary is available upon request

ABOUT FISCALNOTE AI SOLUTIONS

FiscalNote and FiscalNote AI Solutions is the premier information services company focused on global policy and market intelligence. By combining AI technology, expert analysis, and legislative, regulatory, and geopolitical data, FiscalNote is reinventing the way that organizations minimize risk and capitalize on opportunity. FiscalNote empowers more than 5,000 clients worldwide to monitor, manage, and act on the issues that matter most to them. To learn more about FiscalNote and its family of brands, visit FiscalNote.com and FiscalNote.ai or follow @FiscalNote.

### 概述
Anvil是我们的下一代AI平台，其持续对财报电话会议（earnings call）进行监测，并从这类关键内容中生成多分析维度下的逐轮AI信号，涵盖（i）统计维度、（ii）情感维度、（iii）规避性维度、（iv）情绪维度。
这类评分集合可为各类高阶分析提供前沿的建模支撑。生成与应用的评分以时间序列形式呈现，依托Anvil独有的分辨率建模能力与知识图谱（knowledge graph）功能。您无需自行构建和维护复杂且高度精细化的语言模型，可专注于将这类评分与传统因子及基本面数据进行整合与融合。
数据以简洁结构化格式交付，可直接集成至面向内部人员的应用程序、算法及数据科学环境中。

### 数据规模
- 覆盖美国交易所上市企业
- 包含详细标识符
- 拥有十年以上的历史数据
- 持续更新
- 提供多种服务级别协议（Service Level Agreement, SLA）交付选项

### 技术与方法
Anvil是FiscalNote人工智能解决方案（FiscalNote AI Solutions）旗下的下一代AI平台，其采用高度专属的自然语言理解（Natural Language Understanding）模型、独有的知识图谱功能及自研AI引擎，逐发言人、逐通话记录生成高度专业化的评分。模型在每个分析节点上运行，可生成涵盖情感、可读性等在内的多类评分。全程保留完整的数据溯源信息。该数据可便捷地与FiscalNote人工智能解决方案提供的其他数据集融合，以生成更多因子与维度，助力增强型分析洞察与量化建模。

### 核心字段节选
- 企业标识符
- 已识别的发言人
- 日期/时间
- 评分（例如Loughran McDonald、Harvard-IV、VADER等）
- 发言人发言片段
- 完整数据字典可按需索取

### 关于FiscalNote人工智能解决方案
FiscalNote及其旗下FiscalNote人工智能解决方案部门是专注于全球政策与市场情报的顶尖信息服务企业。通过融合AI技术、专业分析以及立法、监管与地缘政治数据，FiscalNote正在重塑企业规避风险、把握机遇的方式。FiscalNote为全球超过5000家客户提供赋能，助力其监测、管理并针对自身关切的议题采取行动。如需了解FiscalNote及其旗下品牌的更多信息，请访问FiscalNote.com与FiscalNote.ai，或关注@FiscalNote。

搜集汇总

背景与挑战

背景概述

该数据集利用Anvil AI平台对美股公司财报电话会议进行多维度分析，生成包括统计、情感、回避性和情绪等指标的AI信号。数据覆盖10年以上历史并持续更新，以结构化格式交付，便于直接集成到分析应用或模型中。