Sentiment analysis has developed as a technology that applies machine learning and makes a rapid assessment of the sentiments expressed in news releases. News (events) move the market and are measured quantitatively. Analysts and investors digest financial news and their perceptions impact the market and move stock prices. This conference presents the current state of the art in this fast-emerging field.
This is the 5th conference on this topic organized by UNICOM Seminars Ltd. The programme focuses on the application of Sentiment Analysis to the respective models of trading, fund management and risk control. Specialists in the domain present their recent research results, case studies and technology overviews. In particular the topic of Algorithmic Trading is addressed. Special features of this year’s conference are the inclusion of Social Media data (Twitter, blogs, Google Trends, online searches); how trustworthy these are and how they influence market sentiment, sentiment analysis for multiple asset classes.
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