학술논문

Semantic Analysis of Food Ordering and Tasting Reviews in Web Pages using Deep Convolution Neural Networks
Document Type
Conference
Source
2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS) Power, Energy, Control and Transmission Systems (ICPECTS), 2022 International Conference on. :1-6 Dec, 2022
Subject
Components, Circuits, Devices and Systems
General Topics for Engineers
Nuclear Engineering
Power, Energy and Industry Applications
Robotics and Control Systems
Knowledge engineering
Convolution
Semantics
Neural networks
Web pages
Security
Reliability
Semantic Analysis
Reviews
Deep CNN
Cross Web page relations
Optimality
Language
Abstract
Nowadays, users on the net face many issues love junk knowledge on unwanted web content, security issues, intense search time, unwanted advertisements, and so on to beat the matter of looking online pages, a replacement plan has been projected to get web pages victimization the calculated connexion worth, the connection of user representations and inputs. It is accessed by selecting the web contents weight classification and find the gap value of web pages by Markoff properties such as interpretation (G), cross validation web page (C), optimality (0). Finally, the satisfaction value for the user was calculated to rank the web pages according to the worth of the relationship.