The behind scene of Entity Sentiment Analysis (Stocks Evaluation)
Problem: Break a content into sentences and scoring the content through hybrid of lexical analysis and machine learning.
Croakun had been the Natural Language Processing (NLP) technology backbone for some governments and marketing agencies with clients of different industries and domains. That's the reason Croakun is among top 1% of over 1500 GIST ventures in 54 countries.
Our core business is providing enterprises, marketing & government agencies a total customised text analytics engine, through the domain specific and entity level sentiment analysis to deeply understand target customers, end of the day, increasing experiences, loyalty and sales.

Together with you, the founders, our multi-disciplinary team works hands-on to build strong products - which we get pilot users to test as early as possible to confirm the Product/Market Fit.
As soon as we have traction, you can choose to operationally independent without us. Or, we can work together on scaling the product and team, while transferring valuable knowledge to the co-founding team.

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Problem: Break a content into sentences and scoring the content through hybrid of lexical analysis and machine learning.
Here is a simple quick start to use Croakun for competitive analysis with the entity level sentiment…
“Social Media Intelligence is the deduction of actionable recommendations and workable solutions by gathering, categorizing and analyzing massive social data collected through Social Media Monitoring tools.”
Social media offers a real opportunity for government agencies to not only improve efficiency, but also to improve their service to public, build trust and collaboration and better handle real-time requirements of crisis situations.