In world of finance, having access to the right information at the right time is an important feature. It is essential for brokers or financial advisors to have all the answers and to provide required data while on call with client or soon after. Investors, brokers and others are required to stay up to date on current events and financial news are important source of information. In today’s world, an immense amount of articles is published every day. Some are simply stating facts, some are just clickbaits with unimportant news and some carry really important informations and analysis.
SFA (Summary of Financial Articles) software tool helps users to focus on important informations and to get vital insights from all the data. SFA enables users to quickly navigate through the data by augmenting articles with smart metadata, provided by artificial intelligence. The system performs analysis of all published articles using NLP (Natural Language Processing) methods and generates descriptive metadata, that can’t be otherwise obtained, given the amount of published articles every day.
All news are processed using advanced NLP methods in order to understand the essence of published article. By leveraging artificial intelligence based on huge learning dataset, we are able to create executive summary of every article, so gaining knowledge from all the news is much more effective and quicker. Original article is still accessible, it’s just augmented with short summary for more convenience.
In order to further enhance information value gained from the news, every article is also subject to sentiment analysis. As an addition to executive summary, positive and negative sentiment is another key piece of information complementing overall perception of given topic.
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