Financial Entity and Events Extraction with NLP | CityFALCON
Knowledge is on its way

financial entities and events extraction
with nlp

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.

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Salesforce to buy MuleSoft for $5.90 billion

Author
16hours ago
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.
49%
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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.

Extracted Entities
Companies
Salesforce.com Inc
MuleSoft Inc
Stock Tickers
CRM
MULE
Geographies
USA
Sectors
Application Software
Cloud
Technology
Event
Acquisition
Transaction Value
$5.90 billion
Person
Marc Benioff
Other Topics
Cash-and-stock deal
Relevance for Topics
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Salesforce.com.Inc
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MuleSoft Inc
chart
USA
chart
Application Software
chart
Cloud
chart
Technology
chart
Acquisition
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Marc Benioff
Relevance for User Categories
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New to Investing
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Trader
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Long-Term Investor
Overall Story Score
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Content: 15%

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Source and Author: 16%

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CityFALCON User Rating: 4%

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Social Media Popularity: 14%

how to get started

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