COVID-19 News Sentiment Analyzer

frbsf.org

COVID-19 News Headlines Sentiment Analyzer enables organizations to evaluate news headlines related to the pandemic. It identifies the underlying sentiment in COVID-19 coverage and assigns categories such as positive, negative, neutral, or mixed, using aspect-based analysis and polarity associated with COVID-19 topics.

The resulting sentiment insights support a range of use cases, including examining potential links to stock price movements, conducting econometric studies, assessing the effectiveness of policies, and performing risk analytics.

LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.

Normalized 0–100 · last 8 weeks

DataForSeo API

Get LLM mention data of any company via DataForSEO API

Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count. 

How to get LLM mention data →
// Fetch COVID-19 News Sentiment Analyzer mention score
POST /v3/content_analysis/summary
{
  "keyword": "COVID-19 News Sentiment Analyzer",
  "type": "llm_mentions",
  "date_from": "2025-01-01"
}