[Objective] The paper proposes a model to group users of Weibo trending topics. [Methods] First, we computed the sentiment of user’s texts with sentiment dictionary. Then, we combined sentiment and text vector expression to determine the characteristics of user opinion. Finally, we grouped similar users with the K-means method. [Results] The proposed model divided users into three categories, and the value of evaluation index (CA) reached 78.2%. [Limitations] Our model needs to define the number of categories before dividing user groups. [Conclusions] The proposed model could effectively group users with the same sentimental views.
Giatsoglou M, Vozalis M G, Diamantaras K, et al. Sentiment Analysis Leveraging Emotions and Word Embeddings[J]. Expert Systems with Applications, 2017,69:214-224.
doi: 10.1016/j.eswa.2016.10.043
[2]
Islam M Z, Liu J, Li J, et al. A Semantics Aware Random Forest for Text Classification[C]//Proceedings of the 28th ACM International Conference on Information and Knowledge Management, Beijing, China. 2019: 1061-1071.
[3]
Wu F Z, Huang Y F, Song Y Q, et al. Towards Building a High-Quality Microblog-Specific Chinese Sentiment Lexicon[J]. Decision Support Systems, 2016,87:39-49.
doi: 10.1016/j.dss.2016.04.007
[4]
Tubishat M, Idris N, Abushariah M A M. Implicit Aspect Extraction in Sentiment Analysis: Review, Taxonomy, Opportunities, and Open Challenges[J]. Information Processing & Management, 2018,54(4):545-563.
doi: 10.1016/j.ipm.2018.03.008
[5]
Ikram M T, Afzal M T. Aspect Based Citation Sentiment Analysis Using Linguistic Patterns for Better Comprehension of Scientific Knowledge[J]. Scientometrics, 2019,119(1):73-95.
doi: 10.1007/s11192-019-03028-9
( Lü Guangrui, Cai Guoyong, Lin Yuming. Image Sentiment Analysis with Multimodal Discriminative Embedding Space[J]. Journal of Beijing University of Posts and Telecommunications, 2019,42(1):61-77.)
[7]
Katsurai M, Satoh S. Image Sentiment Analysis Using Latent Correlations Among Visual, Textual, and Sentiment Views[C]//Proceedings of the 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China. 2016: 2837-2841.
[8]
Neumann M, Vu T. Cross-lingual and Multilingual Speech Emotion Recognition on English and French[C]//Proceedings of the 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Canada. 2018: 5769-5773.
[9]
Siegert I, Requardt A, Egorow O, et al. Improving Speech-Based Emotion Recognition by Using Psychoacoustic Modeling and Analysis-by-Synthesis[C]//Proceedings of the 2017 International Conference on Speech and Computer (SPECOM), Hatfield, UK. 2017: 445-455.
[10]
Rathi M, Malik A, Varshney D, et al. Sentiment Analysis of Tweets Using Machine Learning Approach[C]//Proceedings of the 11th International Conference on Contemporary Computing, Nodia, India. 2018: 1-3.
[11]
Huang Z, Zhao Z, Liu Q, et al. An Unsupervised Method for Short-Text Sentiment Analysis Based on Analysis of Massive Data[C]//Proceedings of the 2015 International Conference of Young Computer Scientists, Engineers and Educators (ICYCSEE), Harbin, China. 2015: 169-176.
[12]
Park S, Kim Y. Building Thesaurus Lexicon Using Dictionary-Based Approach for Sentiment Classification[C]//Proceedings of the 2016 IEEE 14th International Conference on Software Engineering Research, Towson, MD, USA. 2016: 39-44.
[13]
Rao Y, Lei J, Liu W Y, et al. Building Emotional Dictionary for Sentiment Analysis of Online News[J]. World Wide Web, 2014,17(4):723-742.
doi: 10.1007/s11280-013-0221-9
[14]
Li W, Guo K, Shi Y, et al. Improved New Word Detection Method Used in Tourism Field[J]. Procedia Computer Science, 2017,108:1251-1260.
doi: 10.1016/j.procs.2017.05.022
[15]
Yan L W, Bai B, Chen W, et al. New Word Extraction from Chinese Financial Documents[J]. IEEE Signal Processing Letters, 2017,24(6):770-773.
doi: 10.1109/LSP.97
( Zhang Yangsen, Zheng Jia, Huang Gaijuan, et al. Microblog Sentiment Analysis Method Based on a Double Attention Model[J]. Journal of Tsinghua University (Science and Technology), 2018,58(2):122-130.)
[17]
Zhang S X, Wang Y, Zhang S Y, et al. Building Associated Semantic Representation Model for the Ultra-Short Microblog Text Jumping in Big Data[J]. Cluster Computing, 2016,19(3):1399-1410.
doi: 10.1007/s10586-016-0602-9
[18]
Santos I, Nedjah N, Mourelle L D M. Sentiment Analysis Using Convolutional Neural Network with FastText Embeddings[C]//Proceedings of the 2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI), Arequipa, Peru. 2017: 1-5.
[19]
Chen T, Xu R, He Y, et al. Improving Sentiment Analysis via Sentence Type Classification Using BILSTM-CRF and CNN[J]. Expert Systems with Applications, 2017,72:221-230.
doi: 10.1016/j.eswa.2016.10.065
( Zhu Xiaoxia, Song Jiaxin, Meng Jianfang. Analysis of Online Public Opinion Information Based on the Dynamic Theme-Emotion Evolution Model[J]. Information Science, 2019,37(7):72-78.)
[21]
Zhang X, Li C. The Research of Sentiment Analysis of Microblog Based on Data Mining: Exampled by Basic Endowment Insurance[C]//Proceedings of the 2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Xiamen, China. 2017: 1-5.
[22]
Zucco C, Calabrese B, Cannataro M. Sentiment Analysis and Affective Computing for Depression Monitoring[C]//Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Kansas City, USA. 2017: 1988-1995.
[23]
Tago K, Jin Q. Influence Analysis of Emotional Behaviors and User Relationships Based on Twitter Data[J]. Tsinghua Science and Technology, 2018,23(1):104-113.
doi: 10.26599/TST.2018.9010012
[24]
Gao K, Xu H, Wang J. A Rule-Based Approach to Emotion Cause Detection for Chinese Micro-Blogs[J]. Expert Systems with Applications, 2015,42(9):4517-4528.
doi: 10.1016/j.eswa.2015.01.064
[25]
Naskar D, Singh S R, Kumar D, et al. Emotion Dynamics of Public Opinions on Twitter[J]. ACM Transactions on Information Systems, 2020, 38(2): Article No.18.
( Peng Xixian, Zhu Qinghua, Liu Xuan. Research on Behavior Characteristics and Classification of Micro-blog Users——Taking “Sina Micro-blog” as an Example[J]. Information Science, 2015,33(1):69-75.)