Reaction indicator for sentiment of social media messages

a social media message and reaction indicator technology, applied in the field of reaction indicators for social media messages, can solve the problems of both methods failing to determine the sentiment with respect to specific assets in short digital messages such as tweets, and failing to process the sentiment in the syntax-semantic context of messages

Inactive Publication Date: 2012-09-27
ISENTIUM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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.

Method used

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  • Reaction indicator for sentiment of social media messages
  • Reaction indicator for sentiment of social media messages
  • Reaction indicator for sentiment of social media messages

Examples

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Embodiment Construction

[0026]The detailed embodiment of the present invention is disclosed herein. It should be understood, however, that the disclosed embodiment is merely exemplary of the invention, which may be embodied in various forms. Therefore, the details disclosed herein are not to be interpreted as limiting, but merely as a basis for teaching one skilled in the art how to make and / or use the invention.

[0027]In accordance with the present invention, and with reference to FIGS. 1 to 7, a method and system using social media for event-driven trading are disclosed. The present method and system 10 use social media for the real-time evaluation of publicly traded assets, in particular, equities and commodities, using information generated through social media interactions. For example, and with reference to FIG. 5, a series of “tweets” (social comments transmitted using the social networking service Twitter) are shown. As used herein an “asset” is considered to be a resource with economic value that a...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G06Q40/04
CPCG06Q50/01G06Q40/06G06Q10/04G06Q30/0201G06Q30/0202
Inventor SASTRI, GAUTHAM
Owner ISENTIUM
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