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Research Article

Piecewise linear convolutional deep belief classifier for consumer Behavior Analysis in Social Network in Gaussian-embedded clustering

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Pages 199-212 | Received 31 Aug 2023, Accepted 17 Dec 2023, Published online: 05 Feb 2024

References

  • Ahmed C, ElKorany A, ElSayed E. Prediction of customer’s perception in social networks by integrating sentiment analysis and machine learning. J Intell Inf Syst. 2023;60(3):829–51. doi: 10.1007/s10844-022-00756-y
  • Parveen N, Chakrabarti P, Hung BT, et al. Twitter sentiment analysis using hybrid gated attention recurrent network. J Big Data. 2023;10(1):1–29. doi: 10.1186/s40537-023-00726-3
  • Zhang SS, Liang X, Wei YD, et al. On structural features, user social behavior, and kinship discrimination in communication social networks. IEEE Trans Comput Social Syst. 2020;7(2):425–36. doi: 10.1109/TCSS.2019.2962231
  • Xiao Y, Li J, Zhu Y, et al. User behavior prediction of social hotspots based on multimessage interaction and neural network. IEEE Trans Comput Social Syst. 2020;7(2):536–45. doi: 10.1109/TCSS.2020.2969484
  • Wang Y, Piao C, Liu CH, et al. Modeling user interests with online social network influence by memory augmented sequence learning. IEEE Trans Network Sci Eng. 2020;8(1):541–554. doi: 10.1109/TNSE.2020.3044964
  • Han C, Yang M. Stimulating innovation on social product development: an analysis of social behaviors in online innovation communities. IEEE Trans Eng Manage. 2019;69(2):365–375. doi: 10.1109/TEM.2019.2955073
  • Wang Y, Jin D, He D, et al. Community detection in social networks considering social behaviors. IEEE Access. 2022;10:109969–82. doi: 10.1109/ACCESS.2022.3209704
  • Li P, Nie H, Yin F, et al. Modeling and estimating user influence in social networks. IEEE Access. 2020;8:21943–52. doi: 10.1109/ACCESS.2020.2969361
  • Parviero R, Hellton KH, Haug O, et al. An agent-based model with social interactions for scalable probabilistic prediction of performance of a new product. Int J Inf Manage Data Insights. 2022;2(2):100127. doi: 10.1016/j.jjimei.2022.100127
  • Fe H. Social networks and consumer behavior: evidence from yelp. J Econ Behav Org. 2023;209:1–4. doi: 10.1016/j.jebo.2023.02.009
  • Zinovyeva E, Härdle WK, Lessmann S. Antisocial online behavior detection using deep learning. Decis Support Syst. 2020;138:113362. doi: 10.1016/j.dss.2020.113362
  • Ali Hakami N, Hosni Mahmoud HA. The prediction of consumer behavior from social media activities. Behav Sci. 2022;12(8):284. doi: 10.3390/bs12080284
  • Yan Z, Cao W, Ji J. Social behavior prediction with graph U-Net+. Dis Internet Things J. 2021;1(1):1–8. doi: 10.1007/s43926-021-00018-3
  • Pathak AR, Pandey M, Rautaray S. Topic-level sentiment analysis of social media data using deep learning. Appl Soft Comput. 2021;108:107440. doi: 10.1016/j.asoc.2021.107440
  • Kokab ST, Asghar S, Naz S. Transformer-based deep learning models for the sentiment analysis of social media data. Array. 2022;14:100157. doi: 10.1016/j.array.2022.100157
  • Alsayat A. Improving sentiment analysis for social media applications using an ensemble deep learning language model. Arab J Sci Eng. 2022;47(2):2499–511. doi: 10.1007/s13369-021-06227-w
  • Behera RK, Jena M, Rath SK, et al. Co-LSTM: Convolutional LSTM model for sentiment analysis in social big data. Inf Process Manage. 2021;58(1):102435. doi: 10.1016/j.ipm.2020.102435
  • Mahadevaswamy UB, Swathi P. Sentiment analysis using bidirectional LSTM network. Procedia Comput Sci. 2023;218:45–56. doi: 10.1016/j.procs.2022.12.400
  • Jin Z, Zhao X, Liu Y. Heterogeneous graph network embedding for sentiment analysis on social media.Cogn Computt. 2021;13(1):81–95. doi: 10.1007/s12559-020-09793-7
  • Chouchani N, Abed M. Enhance sentiment analysis on social networks with social influence analytics. J Ambient Intell Humaniz Comput. 2020;11(1):139–49. doi: 10.1007/s12652-019-01234-0
  • Guo L, Zhang B, Zhao X, et al. A consumer behavior prediction model based on multivariate real-time sequence analysis. Math Prob Eng. 2021;2021:1–5. doi: 10.1155/2021/6688750
  • Ge J, Shi LL, Liu L, et al. Intelligent link prediction management based on community discovery and user behavior preference in online social networks. Wireless Commun Mobile Comput. 2021;2021:1–3. doi: 10.1155/2021/2048777
  • Guo H, Yang L, Liu Z. UserRBPM: user retweet behavior prediction with graph representation learning. Wireless Commun Mobile Comput. 2021;2021:1–7. doi: 10.1155/2021/4431416
  • Shen R, Gupta P, Gupta P. Prediction method of user behavior label based on the Bp neural network. Sci Program. 2022;2022:1–7. doi: 10.1155/2022/7241956
  • Gao Q, Ma P, Namin AS. Graph neural network and context-aware based user behavior prediction and recommendation system research. Comput Intell Neurosc. 2020;2020:1–14. doi: 10.1155/2020/8812370
  • Zhang C, Lin Y, Wang X, et al. A trend prediction method for misinformation spreading with time delay effect. IEEJ Trans ElectrElectron Eng. 2023;18(9):1459–71. doi: 10.1002/tee.23865
  • Theodoropoulos T, Makris A, Kontopoulos I, et al. Graph neural networks for representing multivariate resource usage: a multiplayer mobile gaming case-study. Int J Inf Manage Data Insights. 2023;3(1):100158. doi: 10.1016/j.jjimei.2023.100158

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