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Big Data Analysis of Social Media 3D Object Models Sentiment for 3D Printing

IP.com Disclosure Number: IPCOM000250284D
Publication Date: 2017-Jun-21
Document File: 3 page(s) / 207K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed are a method and system to analyze many two-dimensional/three-dimensional (2D/3D) models published on social media using cognitive system natural language processing. The system also scores the confidence levels in respondent recommendations as users provide feedback about the shared model. The system recommends options from which the user can select to generate a 3D print of the object.

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Big Data Analysis of Social Media 3D Object Models Sentiment for 3D Printing Disclosed are a method and system to analyze many two-dimensional/three- dimensional (2D/3D) models published on social media using cognitive system natural language processing. The system also scores the confidence levels in respondent recommendations as users provide feedback about the shared model. The system recommends options from which the user can select to generate a 3D print of the object. Three-dimensional (3D) printing has reached mainstream levels as affordable devices become available for consumers and professional 3D printing services are available for business. Consumers can use 3D printers to make toys, household items, etc. Users within social media can provide personalized customization plans of various objects that include colors, shapes, and dimensions that a 3D printer can print to share with other users on social media. An opportunity exists to integrate social media feedback with3D printing customization, perform an analysis on the data in real time, and then help users select customization options to print 3D objects. The novel contribution is a method and system to analyze many 2D/3D models published on social media using cognitive system natural language processing. The system also scores the confidence levels in respondent recommendations as users provide feedback about the shared model. The system also recommends options from which the user can select to generate a 3D print of the object. The user can preview the selection of various model options prior to printing based on feedback from users in social media. Software installed in remote server gathers different users’ feedback on different 3D printed objects. In this case, feedback can be social network feedback on a 3D-printed object photograph. Based on feedback analysis, the remote server identifies the position of the respective 3D object where/about which respondents made the comments/feedback. The analysis includes use of natural language processing and scoring the feedback for confidence level and/or using rating as selection criteria. Once a user selects any object for printing, the software identifies the social network feedback against the object and shows the recommendation on a different portion of the 3D model. The user can select one or more recommendations and the 3D printer accordingly prints the object. A user can also select the preview after selecting the recommendation. Invention Components:

 3D printer capable of receiving plans electronically  Social media

 Users post image and plans for 3D printed obj...