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Method and System for Cognitively Displaying Content Based on Emotional States of a User

IP.com Disclosure Number: IPCOM000250278D
Publication Date: 2017-Jun-21
Document File: 2 page(s) / 9K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method and system is disclosed for cognitively displaying content based on emotional states of a user as well as relationship of the user with other users watching the content.

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Method and System for Cognitively Displaying Content Based on Emotional States of a User

A method and system is disclosed for cognitively displaying content based on emotional states of a user as well as relationship of the user with other users watching the content.

Existing techniques address analyzing emotional states of a user in different ways and display advertisements (ads) accordingly. Such techniques do not consider associating emotional states and relationships of the user. Therefore, there exists a need for method and system for correlating emotional states and relationships of the user with other users for providing or recommending appropriate content. Disclosed is a method and system for cognitively displaying content based on emotional states of the user as well as relationship of the user with other users watching the content. The method and system analyses the user’s emotional states and also determines the relationship of the user with other users based on common set of interests between the user and other users, in order to select and recommend the appropriate content. In accordance with the method and system, the user’s emotional states and relationships are determined using multiple modules such as, but not limited to, a user sentiment analysis and root analysis module, a content analysis module, a people recognition module, a relationship analysis module and a presentation module. User sentiment analysis and root analysis module performs sentiment analysis and semantic analysis on all communications concerned with the user. The user sentiment analysis and root analysis module uses multiple sensors to weight/rank current emotional states of the user such as, but not limited to, happy, angry, frustrated, confused and upset. Additionally, the root cause of such emotional states is also identified based on multidimensional factors such as, but not limited to, work, personal, application software, content and disagreement with a person. The analyzed information is then transferred to the relationship analysis module to further understand relationships (type and quality) and the way the user interacts with other users. Content analysis module performs sentiment and semantic analysis on content the user is exposed to. The content is then analyzed to determine attributes such as, but not li...