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Methods and systems for generating corporate green score using social media sourced data and sentiment analysis

A social media, green technology, applied in the field of intelligent analysis, can solve problems such as large impact, and achieve the effect of accelerating market share penetration

Active Publication Date: 2014-11-05
FINANCIAL & RISK ORG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Social media's growing influence on environmental issues

Method used

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  • Methods and systems for generating corporate green score using social media sourced data and sentiment analysis
  • Methods and systems for generating corporate green score using social media sourced data and sentiment analysis
  • Methods and systems for generating corporate green score using social media sourced data and sentiment analysis

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Embodiment Construction

[0037] The invention will now be described in more detail with reference to exemplary embodiments as shown in the accompanying drawings. While the invention has been described herein with reference to exemplary embodiments, it is to be understood that the invention is not limited to such exemplary embodiments. Those skilled in the art who can use the teachings herein will recognize additional implementations, modifications, and embodiments, as well as other applications for using the invention, which are contemplated to be fully within the scope of the invention disclosed and claimed herein, and with respect to Their invention can have important utility.

[0038] The present invention uses and leverages new media sources and trends to meet customer needs for advanced analytics related to CSR, ESG engagement, green investing, and reputation awareness. The present invention, in its various embodiments, provides a green mood solution that extends the reach of conventional tools ...

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Abstract

The present invention provides a News / Media Analytics System (NMAS) adapted to automatically process and read news stories and content from blogs, twitter, and other social media sources, represented by news / media corpus, in as close to real-time as possible. Quantitative analysis, techniques or mathematics, such as green scoring / composite module and sentiment processing module are processed to arrive at green scores, green certification, and / or model the value of financial securities, including generating a green score, green compliance certification, and a composite environmental or green index. The NMAS automatically processes news stories, filings, new / social media and other content and applies one or more models against the content to determine green scoring and / or anticipate behavior of stock price and other investment vehicles. The NMAS leverages traditional and, especially, social media resources to provide a sentiment-based solution for scoring the greenness of companies.

Description

technical field [0001] The present invention relates generally to financial services, and to mining information from traditional news sources and new / social media sources and other content sources to identify sentiment and predict behavior for pricing and recommendations. More specifically, the present invention provides for enabling "greenness" and predictive business valuation behavior of companies and associated risk areas as perceived by traditional and new media and / or used to generate a composite "environmental" index Smart analytics to measure and / or score. The present invention provides a dynamic tool that leverages machine learning capabilities, news sentiment expertise, and intelligent analytics to provide services for benchmarking the environmental and sustainability sentiment of private and publicly traded companies. Background technique [0002] With the advent of the printing press, typesetting, typewriters, computer-implemented word processing, and mass data ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q40/08
CPCG06Q10/0635G06Q50/01G06Q40/08G06Q40/06
Inventor S.L.安德鲁斯P.达姆D.弗雷内特S.乔扈里R.罗德里格斯A.加纳帕姆F.施尔德J.L.莱德纳
Owner FINANCIAL & RISK ORG LTD
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