Science4Data Article Insights

https://www.ftportfolios.com/Blogs/EconBlog/2020/6/10/coronavirus-high-frequency-data

Coronavirus High Frequency Data

2020-06-25 15:41:26, , www.FTPortfolios.com

Content Categorization

Word Count:
93

Words/Sentence:
23

Reading Time:
0.93 min

Reading Quality:
Advanced

Readability:
16th or higher

Media Sentiment
Proprietary sentiment analysis on both the headline and body text of the article. Sentiment scores range from -1 (very negative sentiment) to 1 (very positive sentiment).
RCS Analysis
Relative scoring for Risk, Crisis, and Security language within the article.
Risk Score
Scoring based on the composite risk, security and crisis language within an article compared to a baseline of historic analysis across thousands of diverse articles.
PESTEL Scope
Analysis of article orientation across the PESTEL macro-environmental analysis framework. Learn more about PESTEL.
Entity Word Cloud
Key people, places, organizations and events referenced in the article, weighted by frequency and colored based on contextual sentiment.
Auto Summary
Condensing key features of the article based on salience analysis. Helpful for “gisting” the article in a time crunch.

Sources: First Trust Advisors, Department of Labor, Redbook Research, Box Office Mojo, Association of American Railroads, American Iron and Steel Institute, Hotel News Now, Opentable, Transportation Security Administration, Energy Information Administration

1 Data for level, year ago level, and month ago level are all YOY % changes.

2 Data is provided daily instead of weekly.

3 Data shows year-over-year seated diners at restaurants on the OpenTable network across all channels: online reservations, phone reservations, and walk-ins. % change month over month is the current reading minus the month ago reading.

Keywords

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