scholarly journals Application of Natural Language Processing Technology in Educational Resources Retrieval

2021 ◽  
Vol 1881 (3) ◽  
pp. 032020
Author(s):  
Yibao Huang
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Educational Resources ◽  
Processing Technology

scholarly journals Logical Intelligent Detection Algorithm of Chinese Language Articles Based on Text Mining

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zihui Zheng
Keyword(s):  
Natural Language Processing ◽  
Text Mining ◽  
Natural Language ◽  
Language Processing ◽  
Chinese Language ◽  
Detection Algorithm ◽  
Processing Technology ◽  
Experimental Comparison ◽  
Intelligent Detection ◽  
Web Text Mining

With the advent of the big data era and the rapid development of the Internet industry, the information processing technology of text mining has become an indispensable role in natural language processing. In our daily life, many things cannot be separated from natural language processing technology, such as machine translation, intelligent response, and semantic search. At the same time, with the development of artificial intelligence, text mining technology has gradually developed into a research hotspot. There are many ways to realize text mining. This paper mainly describes the realization of web text mining and the realization of text structure algorithm based on HTML through a variety of methods to compare the specific clustering time of web text mining. Through this comparison, we can also get which web mining is the most efficient. The use of WebKB datasets for many times in experimental comparison also reflects that Web text mining for the Chinese language logic intelligent detection algorithm provides a basis.

scholarly journals Smart Project Management: Interactive Platform Using Natural Language Processing Technology

2021 ◽  
Vol 11 (4) ◽  
pp. 1597
Author(s):  
Jieh-Haur Chen ◽  
Mu-Chun Su ◽  
Vidya Trisandini Azzizi ◽  
Ting-Kwei Wang ◽  
Wei-Jen Lin
Keyword(s):  
Neural Network ◽  
Natural Language Processing ◽  
Project Management ◽  
Natural Language ◽  
Real Time ◽  
Construction Industry ◽  
Language Processing ◽  
Recurrent Neural Network ◽  
Processing Technology ◽  
Management Platform

Technological developments have made the construction industry efficient. The aim of this research is to solve communication interaction problems to build a project management platform using the interactive concept of natural language processing technology. A comprehensive literature review and expert interviews associated with techniques dealing with natural languages suggests the proposed system containing the Progressive Scale Expansion Network (PSENet), Convolutional Recurrent Neural Network (CRNN), and Bi-directional Recurrent Neutral Networks Convolutional Recurrent Neural Network (BRNN-CNN) toolboxes to extract the key words for construction projects contracts. The results show that a fully automatic platform facilitating contract management is achieved. For academic domains, the Contract Keyword Detection (CKD) mechanism integrating PSENet, CRNN, and BRNN-CNN approaches to cope with real-time massive document flows is novel in the construction industry. For practice, the proposed approach brings significant reduction for manpower and human error, an alternative for settling down misunderstanding or disputes due to real-time and precise communication, and a solution for efficient documentary management. It connects all contract stakeholders proficiently.

scholarly journals “Visualization” of SDGs-related Patent Technologies by Natural Language Processing Technology

2021 ◽  
Vol 7 (3) ◽  
pp. 53
Author(s):  
Yoshiaki MAEHARA ◽  
Atsushi KUKU ◽  
Yoshiyuki OSABE
Keyword(s):  
Sustainable Development ◽  
Natural Language Processing ◽  
Natural Language ◽  
United Nations ◽  
Technological Innovation ◽  
Language Processing ◽  
Sustainable Development Goals ◽  
Processing Technology ◽  
Japanese Patent ◽  
Development Goals

SDGs is an abbreviation for “Sustainable Development Goals”, which were adopted at the United Nations Sustainable Development Summit in September 2015. They were set as goals to be achieved by the 193 United Nations Member States during the 15-year period from 2016 to 2030. Technological innovation is indispensable for the realization of the SDGs, but at present, it is unclear where (countries and companies) and to what extent SDG-related technologies are available. For this reason, we used BERT, a natural language processing technology, and Japanese patent publications we own and worked on the "visualization" of the SDGs technologies in Japan. The results show that out of the 17 SDGs goals, patents can contribute to Goals 2, 3, 6, 7, 9 and 11.

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