TY - GEN
T1 - Influence of Internet Information Technology on Deep Learning
T2 - 2nd IEEE International Conference on Electronic Technology, Communication and Information, ICETCI 2022
AU - Chen, Baoxin
AU - Chen, Kan
AU - Wang, Xi
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Internet information technology and visualization effectively explore the commonalities and differences of many kinds of science literature and identify research trends, frontiers, and hotspots. Based on the research literature on 'Prosperity warning' collected in the CNKI database, this paper uses internet information analysis and visualization techniques such as the frequency matrix, word cloud graph, time series graph to explore the hot topics of the retrieval platform. The results show that the popular study period of the work was mainly concentrated around the 2010s. The first five years in which this work has been studied the most are ranked: 2010, 2007, 2008, 2006, and 2003. We can also get the top ten most popular keywords from the analysis. 'Prosperity warning' became a popular keyword after 1976. There was a research climax in the 1980s. After that, people began to pay attention to this work and theoretical ideas one after another. This work first paid attention to intangible cultural heritage. He and his books are the carriers of information technology. It can be said that information technology has a huge advantage in helping us to carry out text processing and text mining, and it has a wider application value in today's interdisciplinary.
AB - Internet information technology and visualization effectively explore the commonalities and differences of many kinds of science literature and identify research trends, frontiers, and hotspots. Based on the research literature on 'Prosperity warning' collected in the CNKI database, this paper uses internet information analysis and visualization techniques such as the frequency matrix, word cloud graph, time series graph to explore the hot topics of the retrieval platform. The results show that the popular study period of the work was mainly concentrated around the 2010s. The first five years in which this work has been studied the most are ranked: 2010, 2007, 2008, 2006, and 2003. We can also get the top ten most popular keywords from the analysis. 'Prosperity warning' became a popular keyword after 1976. There was a research climax in the 1980s. After that, people began to pay attention to this work and theoretical ideas one after another. This work first paid attention to intangible cultural heritage. He and his books are the carriers of information technology. It can be said that information technology has a huge advantage in helping us to carry out text processing and text mining, and it has a wider application value in today's interdisciplinary.
KW - Prosperity warning
KW - Sheng Shi Wei Yan
KW - Words of Warning to a Prosperous Age
KW - internet information technology
KW - knowledge hotspot
UR - http://www.scopus.com/inward/record.url?scp=85136319830&partnerID=8YFLogxK
U2 - 10.1109/ICETCI55101.2022.9832343
DO - 10.1109/ICETCI55101.2022.9832343
M3 - Conference contribution
AN - SCOPUS:85136319830
T3 - 2022 IEEE 2nd International Conference on Electronic Technology, Communication and Information, ICETCI 2022
SP - 872
EP - 875
BT - 2022 IEEE 2nd International Conference on Electronic Technology, Communication and Information, ICETCI 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 May 2022 through 29 May 2022
ER -