Abstract
The rapid development of the Internet makes it easier for users to share information. On various network platforms (such as Microblog), a large amount of text data containing useful information flows every day. The visualization of these data is of great significance to cognition and use of this information. Although the current scholars have extensively studied the processing of text data and the visualization of its results, there is still confusion, monotony, etc. on the visualization of this special and widely used multi-domain text data of microblog text. We improve the traditional text data display method - word cloud and combines a 3D model to propose a new type of word cloud. Additional, we improve traditional topic model LDA and propose E-LDA to get better topics from short text data. Experiments show that we get better results in topic extraction. And in terms of the traditional word cloud, there are obvious improvements in results presentation, topic relationship presentation, and interaction friendliness.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kang, J.H., Lerman, K., Plangprasopchok, A.: Analyzing microblogs with affinity propagation. In: ACM Press the First Workshop - Washington D.C. District of Columbia (2010)
Heimerl, F., Lohmann, S., Lange, S.: Word cloud explorer: text analytics based on word clouds. In: Hawaii International Conference on System Sciences. IEEE (2014)
Hearst, M.A.: Untangling text data mining. In.: Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics (ACL-1999) (1999)
Cugini, J.: Design of 3D visualization of search results: evolution and evaluation. In: Proc IST/SPIE’s International Symposium: Electronic Imaging: Visual Data Exploration and Analysis (2007)
Dong-Hai, Z., Jiang, Y.U., Fei, G.: K-means text clustering algorithm based on initial cluster centers selection according to maximum distance. In: Application Research of Computers (2014)
Ge, G., Chen, L., Du, J.: The research on topic detection of microblog based on TC-LDA. In: 2013 15th IEEE International Conference on Communication Technology (ICCT) (2013)
Bashri, M.F.A., Kusumaningrum R.: Sentiment analysis using latent Dirichlet allocation and topic polarity wordcloud visualization. In: 2017 5th International Conference on Information and Communication Technology (ICoIC7) (2017)
Cherapanukorn V., Charoenkwan P.: Word cloud of online hotel reviews in Myanmar for customer satisfaction analysis. In: 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI). IEEE (2017)
Wang J., Zhao J., Guo S.: ReCloud: semantics-based word cloud visualization of user reviews. In: Graphics Interface Conference (2014)
Lohmann, S., Heimerl, F., Bopp, F.: Word cloud visualization for multiple text documents. In: International Conference on Information Visualisation. IEEE, pp. 114–120 (2015)
Cui, W., Wu, Y., Liu, S.: Context-preserving dynamic word cloud visualization. IEEE Comput. Graph. Appl. 30(6), 42–53
Perez, C., Antonio, A.: 3D visualization of text collections: an experimental study to assess the usefulness of 3D. In: Proceedings of thee Eighth International Conference on Information Visualisation (2004)
Ramachandran, P., Varoquaux, G.: A package for 3D visualization of scientific data. Comput. Sci. Eng. 13(2), 40–51
Usui, S., Naud, A., Ueda, N., Taniguchi, T.: 3D-SE viewer: a text mining tool based on bipartite graph. In: International Joint Conference on Neural Networks
Acknowledgement
This research is supported by Sichuan Science and Technology Program (No. 2020YFS0307, No. 2019YFS0146, No. 2019YFS0155). Supported by Fund NO. 2017SCII0203 and No. 2020YFG0430 of Sichuan Civil-Military Integration Institute.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Zhang, X. et al. (2021). Visualization of Microblog Keyword Data Based on 3D Interactive Word Cloud. In: Meng, H., Lei, T., Li, M., Li, K., Xiong, N., Wang, L. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 88. Springer, Cham. https://doi.org/10.1007/978-3-030-70665-4_24
Download citation
DOI: https://doi.org/10.1007/978-3-030-70665-4_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-70664-7
Online ISBN: 978-3-030-70665-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)