Open Access

The Role and Impact of Social Media Data Analysis in Art Event Planning

   | Jun 07, 2024

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Patone, M., & Zhang, L. C. (2020). On two existing approaches to statistical analysis of social media data. International Statistical Review. Search in Google Scholar

Shin, D., He, S., Lee, G. M., Whinston, A. B., & Lee, K. C. (2020). Enhancing social media analysis with visual data analytics: a deep learning approach. MIS Quarterly, 44(4), 1459-1492. Search in Google Scholar

Mihescu, M. C., Popescu, P. S., & Popescu, E. (2017). Data analysis on social media traces for detection of “spam” and “don’t care” learners. Journal of supercomputing, 73(10), 4302-4323. Search in Google Scholar

Aguero-Torales, M. M., Salas, J. I. A., & Lopez-Herrera, A. G. (2021). Deep learning and multilingual sentiment analysis on social media data: an overview. Applied Soft Computing(107-), 107. Search in Google Scholar

Diehl, Trevor, Zuniga, G. D., & Homero. (2017). Citizenship, social media, and big data: current and future research in the social sciences. Social science computer review. Search in Google Scholar

Wirz, C. D., Xenos, M. A., Brossard, D., Scheufele, D., Chung, J. H., & Massarani, L. (2018). Rethinking social amplification of risk: social media and zika in three languages. Risk Analysis, 38(12), 2599-2624. Search in Google Scholar

Nguyen, T., Venkatesh, S., & Phung, D. (2017). Academia versus social media: a psycho-linguistic analysis. Journal of Computational Science, S1877750317309122. Search in Google Scholar

Liu, J. (2021). Perceiving residents’ festival activities based on social media data: a case study in beijing, china. ISPRS International Journal of Geo-Information, 10. Search in Google Scholar

Ramanathan, U., Williams, N. L., Zhang, M., Sa-Nguanjin, P., & Borges, L. A. (2020). A new perspective of e-trust in the era of social media: insights from customer satisfaction data. IEEE Transactions on Engineering Management, PP(99), 1-15. Search in Google Scholar

Bernetti, I., Sottini, V. A., Bambi, L., Barbierato, E., Borghini, T., & Capecchi, I., et al. (2020). Urban niche assessment: an approach integrating social media analysis, spatial urban indicators and geo-statistical techniques. Sustainability, 12. Search in Google Scholar

Arasu, B. S., Seelan, B. J. B., & Thamaraiselvan, N. (2020). A machine learning-based approach to enhancing social media marketing. Computers and Electrical Engineering(86-), 86. Search in Google Scholar

Sheng, H., Yang, P., & Feng, Y. (2020). How to inspire customers via social media. Industrial Management & Data Systems, ahead-of-print(ahead-of-print). Search in Google Scholar

Yao, B., Shanoyan, A., Peterson, H. H., Boyer, C., & Baker, L. (2018). The use of new‐media marketing in the green industry: analysis of social media use and impact on sales. Agribusiness(4). Search in Google Scholar

Sam, C., Naicker, N., & Adebiyi, M. O. (2021). Dimensionality reduction of social media application attributes for ubiquitous learning using principal component analysis. Mobile Information Systems. Search in Google Scholar

Tseng, F. C., Cheng, T. C. E., Yu, P. L., Huang, T. L., & Teng, C. I. (2019). Media richness, social presence and loyalty to mobile instant messaging. Industrial Management & Data Systems, 119(6), 1357-1373. Search in Google Scholar

Nawa, A., Asghar, S., & Naqvi, S. H. A. (2019). A segregational approach for determining aspect sentiments in social media analysis. Journal of supercomputing(5), 75. Search in Google Scholar

eISSN:
2444-8656
Language:
English
Publication timeframe:
Volume Open
Journal Subjects:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics