News Pulse|新闻分析数据集|情感分析数据集

OVERVIEW:

Knowing something is happening is important, but knowing why it’s happening, and whether it is positive or negative is a superpower. Our News Pulse anomaly detection data set does exactly that, giving your analysts, algorithms, and dashboards “at a glance” powers to make better decisions.

Anvil our next-generation AI platform, continually measures and calculates for millions of companies an hour-by-hour statistical measurement of news coverage for each hour of the day for each company. The News Pulse data set is focused on North American publicly traded companies, and it enables your analysts, applications, and algorithms to immediately learn when media mentions for any company on the primary North American exchanges has started deviating from its baseline hourly norm. Moreover, ANVI’s News Pulse Data Set explains and summarizes what’s driving the deviation and scores that deviation with specialized sentiment scores. This means you are always aware of critical information across the companies you care about and have immediate insights as to what is driving that critical change.

SCALE:

- This data set focused on constituent members of US Exchanges
- Detailed identifiers
- Calculations updated every 15 minutes

QUANTITATIVE DIMENSIONS:
- Statistical, sentiment, financial impact and saliency scores
- Z-score
- Summarization models
- Time series enabled

TECHNOLOGY and 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 and extract both broad, and highly specific entities, events, relationships and temporal components from unstructured data. Specialized models are applied at each intersection point to generate multiple scores, ranging from sentiment to impact 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.