Blogger Feature Extraction Optimization Algorithm Based on K-means and DPCNN
Author: 
Junhao ChenAuthors Info & Claims
Pages 110 - 115
Abstract
Art toy has become very popular among young people in recent years, and its market influence is rising rapidly. Based on the data of Weibo app, this paper classifies and analyzes the relevant characteristics of art toy bloggers. K-means can realize the clustering of various features, while DPCNN can effectively process text information. Therefore, this paper proposes a blogger classification model based on K-means, and uses the inertial contour coefficient method to verify the validity of the classification results. A prediction model of cultural identity based on DPCNN is proposed. The accuracy of verification set is used to verify the validity of the model. The results show that the prediction accuracy of this model is 97.2%, which can predict the cultural identity of bloggers.
References
[1]
Audrey Guo. The Booming Art Toy Economy[J]. China's Foreign Trade,2021(04):44-46.
[2]
Wu W. Design and Demonstration of Big Data User Portrait Model Based on Qualitative and Quantitative Fusion Method [J]. DATA ANALYSIS AND KNOWLEDGE DISCOVERY, 2021: 1-16.
[3]
Yang Q. An Empirical Study on User Group Portraits of Social Science Consulting Service of the National Library of China [J]. NATIONAL LIBRARY JOURNAL,2021,30 (06) : 33-42.
[4]
Zhao Y. Generation Method of User Portrait Talent Label System in Big Data Mining [J]. INFORMATION TECHNOLOGY, 2021, (12): 142–6.
[5]
Li D. Text Mining Model for Virtual Community User Portrait Based on Social Network Analysis[J]. TEHNICKI VJESNIK-TECHNICAL GAZETTE,2019,26(4):1145-1151.
[6]
Su Chen, Lin Hui, Zhou Chengxiong. Research on the influence of short video blogger accounts based on factor analysis—taking Weibo and bilibili as examples [J]. Light Industry Technology, 2021, 37(07): 103- 107+131.
[7]
Dong Wei, Li Jianhong, Tao Jinhu. Identification of active users in online health communities and analysis of their interaction types [J]. Journal of Literature and Data, 2020, 2(01): 89-101.
[8]
Sun Dandan, Zheng Ruikun. Application of BERT-DPCNN Model in Sentiment Analysis of Network Public Opinion [J]. Network Security Technology and Application, 2022(08):24-27.
[9]
Qin Muxing. Research on the cultivation of college students’ cultural identity under the micro-cultural background [D]. Wuhan University of Technology, 2014.
[10]
Zhang Yujia. Research on the innovative development of the animation figure market in the new media environment [J]. New Media Research, 2020,6(19):64-66.
[11]
Han Xinyue. The Mystery of the Blind Box Economy from the Perspective of Be- havioral Economics [J]. Business News, 2019(27):117-118.
[12]
Ma Yue. Smallscale trendy toys are big business [J]. Chinese and foreign toy manufacturing, 2018(12):42-43.
[13]
Li Xin.Three major trends in the future development of the fashion play market[J].Chinese and foreign toy manufacturing,2021(12):42-43.
[14]
Lu Guoqiang, Huang Wei, Yang Peilin, Sun Yue. Research on Microblog Topic Influence Based on Topic Mutual Inductance Coupling [J]. Modern Information, 2022,42(08):136-148.
[15]
Rie Johnson,Tong Zhang 0001. Convolutional Neural Networks for Text Categorization: Shallow Word-level vs. Deep Character-level.[J]. CoRR,2016,abs/1609.00718.
Recommendations
Categorizing blogger's interests based on short snippets of blog posts
CIKM '08: Proceedings of the 17th ACM conference on Information and knowledge managementBlogs have become an important medium for people to express opinions and share information on the web. Predicting the interests of bloggers can be beneficial for information retrieval and knowledge discovery in the blogosphere. In this paper, we propose ...
Identifying agitators as important blogger based on analyzing blog threads
APWeb'06: Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and DevelopmentA blog (weblog) lets people promptly publish content (such as comments) relating to other blogs through hyperlinks. This type of web content can be considered as a conversation rather than a collection of archived documents. To capture ‘hot’ ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
November 2022
739 pages
ISBN:9781450396806
DOI:10.1145/3582935
Copyright © 2022 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 10 April 2023
Check for updates
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
ICITEE 2022
ICITEE 2022: 5th International Conference on Information Technologies and Electrical Engineering
November 4 - 6, 2022
Changsha, China
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 15Total Downloads
- Downloads (Last 12 months)4
- Downloads (Last 6 weeks)0
Reflects downloads up to 19 Nov 2024
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format