financial entities and events extraction
We leverage natural language processing and machine learning to identify ‘entities’ from financial content. These entities could be financial instruments, macro topics, corporate actions, business events, sectors, locations, etc.
Read how we do this in detail here
an example of how we leverage nlu and ml
Let's look at a story from the recent past.
Salesforce to buy MuleSoft for $5.90 billion
Salesforce.com Inc said on Tuesday it would buy U.S. software maker MuleSoft Inc for about $5.90 billion (£4.2 billion) in a cash-and-stock deal, illustrating CEO Marc Benioff's push to bolster the company's cloud-based portfolio with new technology.
Our system will extract 'entities' and relevancy of the story to the entities using NLU and ML. Further, we personalise the content for different user segments and users by leveraging CityFALCON Score.
Source and Author: 16%
CityFALCON User Rating: 4%
Social Media Popularity: 14%
how to get started
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