Department of Electricaland Computer Engineering
Faculty of Engineering & Architectural Science
Semantic Analysis of Big Social Media Data
2019 Research Internship Project
Faculty Name
Project Title
Semantic Analysis of Big Social Media Data
Project Description
Inextweb is a cloud platform built at Ryerson University’s Laboratory for Systems, Software and Semantics (LS3) that combines the power of Semantic Analysis and Image Analysis to extract meaningful pieces of information from web pages and text. The system systematically crawls the web and automatically generates structured data from Web documents. This data represents a set of objects that exist in a web document and has until now only been understood when an actual person employs a web browser to render and display the web page.We are now applying this technology to other text-based documents such as patents. The structure of these documents is similar to a webpage with text and images. This enables inextweb to create an enhanced search platform for patents by extracting meaningful pieces of information and sort them based on their similarities and relevancy.
Student Responsibility
The student will be responsible for the following activities: • Understand the Inextweb semantic analysis platform components and perform R&D work in extending its semantic linking capabilities; • Develop semantic similarity measures that would be applied to the area of patent discovery and search • Implement the technology in an App for the IOS or Android platforms
Specific Requirements
The student will be responsible for the following activities: • Understand the Inextweb semantic analysis platform components and perform R&D work in extending its semantic linking capabilities; • Develop semantic similarity measures that would be applied to the area of patent discovery and search • Implement the technology in an App for the IOS or Android platforms