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

Features of Sentiment Analysis Data

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 Data

Benefits of Sentiment Analysis Data 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 Analysis
  2. Brand experience insights
  3. News Trend Analysis
  4. Real-time Sentiment Analysis
  5. Data Driven Marketing insights
  6. Competitor Analysis

External Links and Sample Sources

Useful links and resources

  • Natural Language Processing (NLP) : For more information on Sentiment Analysis, you may refer to Stanford Natural Language Processing Group, Natural Language Processing with Python, Google Scholar, academic databases like JSTOR, Blogs and publications like Towards Data Science.
  • News sources: We process on a daily basis 10 000s of websites. The list can be provided on demand. This includes:
    • Major News Organizations: Websites of major news organizations like BBC, CNN, Reuters, The New York Times, and The Guardian are often crawled for global news. These sources are considered reliable and offer a wide range of news categories.
    • Business and Financial News: For business and financial news, websites like Bloomberg, Financial Times, Forbes, and The Wall Street Journal are often crawled. These sites provide high-quality, in-depth coverage of business and financial matters.
    • Tech News: Websites like TechCrunch, Wired, CNET, and Ars Technica are great for the latest news on technology, startups, and internet culture.
    • Science News: Websites such as Nature, Science Daily, and New Scientist are excellent for the latest scientific research and news.
    • Local News: For location-specific or local news, consider crawling local newspapers or regional news outlets.
    • Industry-specific News: Depending on your needs, you might want to crawl websites that focus on specific industries. For example, AdAge for advertising news, JAMA for medical news, or Inside Higher Ed for news about higher education.
  • Blogs : Just as with news sources, we process on an extensive number of blogs. The list can be provided on demand. This includes:
    • Business Blogs: Blogs like Harvard Business Review, Forbes, Fast Company, and Entrepreneur provide a wealth of articles on various business topics.
    • Technology Blogs: For tech-related content, blogs such as TechCrunch, Gizmodo, Engadget, and The Verge are often crawled.
    • Science Blogs: For scientific content, you might consider crawling blogs like Scientific American, Nature Blogs, or ScienceBlogs.
    • Industry-specific Blogs: Depending on your needs, you may want to crawl blogs that focus on specific industries. For example, AdAge’s blog for advertising, Moz’s blog for SEO, or MedPage Today for medical news.
    • Lifestyle Blogs: Blogs like Apartment Therapy, Cup of Jo, or The Pioneer Woman offer a wide range of content on topics such as home decor, fashion, food, and more.
    • Educational Blogs: Websites like Edutopia, eLearning Industry, and Classroom 2.0 provide content on education trends, strategies, and news.
    • Personal Blogs: Depending on your needs, you might also consider crawling personal blogs. These can be in any field and often provide unique insights and perspectives.

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