News Sentiment FAQs

Question 1

What kind of news data does News Sentiment provide?

Accepted Answer

News Sentiment offers two primary signals: news volume (how much coverage a topic receives) and news sentiment (whether that coverage skews positive, neutral, or negative). Both are normalized and returned as time series data for AI analysis.

Question 2

Which news sources are included in the analysis?

Accepted Answer

News Sentiment aggregates data from a broad range of major English-language news outlets, financial media, and technology publications. The signal represents an aggregated view across these sources rather than individual outlet tracking.

Question 3

Can News Sentiment be used to track company or market events?

Accepted Answer

Yes. You can query company names or tickers to observe how media sentiment and volume shift around key events such as earnings announcements, product launches, or significant regulatory changes, providing valuable contextual data.

Question 4

How are sentiment scores calculated and scaled?

Accepted Answer

Sentiment is derived from NLP analysis of major English-language news article headlines and summaries, initially scored from -1 (strongly negative) to +1 (strongly positive). News Sentiment normalizes these scores to a consistent 0-100 scale.

News Sentiment

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News Sentiment

主要功能

使用案例