Interos Solutions, Inc.

Moodwire, Inc.

Kevin Perillo

Manjirnath A Chatterjee

Rabia Turan

Erick Watson

Brian C Lue

Ankur Agrawal

Embodiments of the present disclosure are directed to methods, computer program products, computer systems for providing a computing search platform for conducting opinion searches over the Internet concerning aggregated social media electronic messages about public opinions and public sentiments for a wide variety of matrices, such as social media posting of a particular industry over a specified time period, electronic social media posting on the public sentiments, public buzz, and public mood. Methods and systems of the present disclosure are directed to collecting and analyzing unstructured social media messages and correlating with structured entity representations in order to discern amount of interest in (buzz) and feelings about (mood) the real world organizations, people, products, and locations described by those entity representations transforming the data into a readily understandable visual display of the aggregated results on a computer display.

Method and system of an opinion search engine with an application programming interface for providing an opinion web portal

Embodiments of the present invention provide a system, method, and article of hybrid human machine learning system with tagging and scoring techniques for sentiment magnitude scoring of textual passages. The combination of machine learning systems with data from human pooled language extraction techniques enable the present system to achieve high accuracy of human sentiment measurement and textual categorization of raw text, blog posts, and social media streams. This information can then be aggregated to provide brand and product strength analysis. A data processing module is configured to get streaming data and then tag the streaming data automatically using the machine learning output. A crowdsourcing module is configured to select a subset of social media posts that have been previously stored in the database, and present the social media posts on the web, which then tags each social media with a selected set of attributes. A score aggregator module configured to provide a score based on a user's feedback for each social media post.

Hybrid human machine learning system and method

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San Jose, CA, United States of America

Kevin Perillo