Using Sentiment Analysis on Unstructured Data to Identify Emerging Risk

Learn how sentiment analysis can help businesses identify risk using AI-based techniques with our two real-world examples: Pier 1 Imports and J. Crew.

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    Discover how to benchmark risk with limited company-specific data.

 

 

Bitvore's Sentiment Analysis tool allows humans to:

  • Eliminate the time-consuming manual efforts associated with reviewing unstructured data sources (e.g. news, press releases, SEC filings/proxy statements, earnings call transcripts, etc.)
  • Identify emerging risk and opportunity to companies in order to improve decision-making
  • Understand material events that may fiscally impact their organization
  • Reduce the number of people required and the time frame needed to reach consensus for the same level of understanding
  • Provide better focus on what's important

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When you have Bitvore's Sentiment Analysis tool at your fingertips, the world doesn't seem so big after all.

 

Sifting through massive amounts of unstructured data for nuggets of value can feel as hopeless as trying to identify tiny gems on a large public beach. Sentiment analysis finds the jewels on the shore without having to sift through the entire beach by hand.



Make better decisions, faster

Bitvore Cellenus ingests massive amounts of unstructured data. (including news, press releases, SEC filings/proxy statements, earnings call transcripts and more) and uses advanced AI and sentiment analysis to provide material events, trended sentiment, growth and risk scoring, as well as comparative/predictive analytics to drive better business outcomes.