Reaction indicator for sentiment of social media messages

Abstract

A reaction indicator in the form of a graphical user interface is disclosed. The reaction indicator combines sentiment and intensity data relating to an asset for use in real-time evaluation of publicly traded assets, in particular equities and commodities. The reaction indicator includes graphic objects displayed upon a monitor that depict social media market sentiment, a timeline slider object, and a vertical bar chart object. The sentiment is derived based upon pairs of lexical items in local syntactic context found in a volume of social media messages.

Description

CROSS REFERENCE TO RELATED APPLICATION[0001]This application claims the benefit of U.S. Provisional Patent Application Ser. No. 61 / 466,067, entitled “METHOD AND SYSTEM USING SOCIAL MEDIA FOR REAL-TIME EVENT DRIVEN TRADING”, filed Mar. 22, 2011.BACKGROUND OF THE INVENTION[0002]1. Field of the Invention[0003]The present invention relates a method and system using social media for real-time event driven trading of equities, commodities and other traded assets.[0004]2. Description of the Related Art[0005]Sentiment analysis applies various analytical techniques in identifying subjective information from different information sources. Sentiment analysis, therefore, attempts to ascertain the feelings, thoughts, attitude, opinion, etc. of a speaker or a writer with respect to a topic.[0006]Most work on sentiment analysis has relied on two main approaches. The first approach, in particular, a so called “bag of words” approach, attempts to apply a positive / negative document classifier based o...

AI Technical Summary

Benefits of technology

"The present invention provides a reaction indicator in the form of a graphical user interface that combines sentiment and intensity data relating to an asset for real-time evaluation of publicly traded equities and commodities. The reaction indicator includes graphic objects displayed on a monitor that depict social media market sentiment, a timeline slider object, and a vertical bar chart object. The graphic object can change color and size based upon the sentiments and intensity of the social media messages. The reaction indicator also includes a central graphic object visualizing a weighted average of all graphic objects based on weights assigned to them. The invention helps to provide a more comprehensive and accurate analysis of publicly traded assets."

Problems solved by technology

This approach fails to process the sentiment with respect to assets (for example, equities or commodities) in short digital messages such as tweets sent via the online social networking service Twitter.

Both methods fail to determine the sentiment with respect to specific assets in short digital messages such as tweets sent via the online social networking service Twitter.

Their main pitfall is that they fail to process the sentiment in the syntax-semantic context of the message.

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