Abstract
Combined with existing research of short text classification, this paper analyzes and explores the structure and characteristics of Wikipedia. And the fusion of explicit semantic analysis algorithm micro-blog sentiment analysis method is proposed. Wikipedia is regarded as external semantic knowledge base, and the entries are introduced as a supplement of micro-blog text features. The author improves the previous micro-blog sentiment analysis text representation method, and then constructs the naive Bias classifier to achieve emotion classification. The experimental results show that after the introduction of Wikipedia to micro-blog text feature expansion, the final evaluation index of the classification results of the naive Bias classifier has been improved, which achieves a better classification effect and improves the effectiveness of the sentiment classification.
Similar content being viewed by others
References
Zhou, X. M., & Liu, Y. Z. (2015). Data detection, tracking and sentiment analysis based on micro-blog data. Advanced Materials Research, 3716(1079), 342.
Lao, W., Han, J., & de With, P. H. N. (2010). Flexible human behavior analysis framework for video surveillance applications. International Journal of Digital Multimedia Broadcasting, 2010, 1978–1979.
Mingjun, X., Hanxiang, W., Weimin, L., & Zhihua, N. (2016). A public opinion classification algorithm based on micro-blog text sentiment intensity: Design and implementation. International Journal of Computer Network and Information Security(IJCNIS), 3(3), 598.
Büscher, C., Voet, H., Krunke, M., Burggräf, P., Meisen, T., & Jeschke, S. (2016). Semantic information modelling for factory planning projects. Procedia CIRP, 41, 90–91.
Cao, H. T., Li, M. C., Jiao, D., & Feng, B. (2016). A method of micro-blog sentiment analysis based on PAD model. Advanced Materials Research, 2265(659), 771–772.
Tang, Y. W., Wang, B., Tang, H. H., & Xi, Y. Y. (2017). Unsupervised sentiment orientation analysis on micro-blog based on dependency parsing and hierarchical dirichlet processes. Applied Mechanics and Materials, 3458(631), 879–880.
Yuan, B., Jiang, T., & Yu, H. Z. (2015). Emotional classification algorithm of micro-blog text based on the combination of emotional characteristics. Advanced Materials Research, 3726(1077), 112–113.
Acknowledgements
The authors acknowledge the National Natural Science Foundation of China (Grant: 111578109), the National Natural Science Foundation of China (Grant: 11111121005). Funding was provided by Henan science and technology plan project (Grant No. 172102210117).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Wang, C.H., Han, D. Sentiment Analysis of Micro-blog Integrated on Explicit Semantic Analysis Method. Wireless Pers Commun 102, 1095–1105 (2018). https://doi.org/10.1007/s11277-017-5144-9
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-017-5144-9