InfoTrie’s sentiment data digitizes text and meanings into machine readable values and signals, covering all major countries, commodities, currencies, cryptocurrencies, equity sectors, and public and private companies. We provide business intelligence for multilingual, regional, or global level data. This dataset comes with our flagship iFeed API as well as a platform (on demand) for comprehensive reporting dashboard where you can see all the insights at any time you want.

The vision is to use NLP and Sentiment Analysis to transform massive textual information into structured data and use these insights at scale. We decode how people write and perceive and interact with brands, products, and services, so to make better decisions and recommendations across your company for better informed strategy.

The data is distilled from a massive collection of news and social media content through an extensively curated language framework, which measures emotions (optimism, confusion, urgency, etc.), financial language (price forecasts, etc.), and topics (interest rates, mergers, etc.).

Key Facts

  • Geographical coverage : Global
  • History : From 2012
  • Data format : CSV / HTML / JSON / SQL / User Interface
  • Delivery mechanism : API Bulk Cloud Deployed/Onsite Servers Desktop FTP
  • Data frequency : Tick by tick, minutely, hourly, and daily
  • Raw data provided
  • Custom indicators


InfoTrie Sentiment Analytics cover 100,000+ companies (listed or unlisted from SMEs to large capitalisation), 150+ stock indices and ETFs, hundreds of commodities, currencies, macroeconomics indicators, fixed income instruments for 60 countries and 500+ cryptocurrencies. The feeds are based on text analysis of 2,000 top global business news outlets, 1,000 global financial social media sites, and tens of millions of authors. The history extends back to 2012 in standard for both news and social media. Extra history can be provided on demand.

Analytic scores include buzz metrics on the asset generally as well as topics such as litigation and mergers; macroeconomic topics such as supply vs demand and inflation forecast; and emotional indicators such as anger, fear and joy.


Benefits of Sentiment Analysis include

  • Creation and augmentation of trading strategies,
  • Volatility forecasting,
  • Advanced risk management,
  • Event monitoring,
  • Macroeconomic now casting and earnings call advisory.

Use Cases

  1. Social media Sentimental Analysis
  2. Brand experience insights
  3. News Trend Analysis
  4. Real-time Sentiment Analysis
  5. Data Driven Marketing insights
  6. Competitor Analysis