Deep learning models for Sentiment data analysis using CAE simulation

Authors

  • G.Marly, R.Mariammal, M.Joice Jesie , M.Arthi Priyadharshini Author

DOI:

https://doi.org/10.48047/2qzraq42

Keywords:

Embedded system, Deep ML, Finite element method, Computer Aided Engineering.

Abstract

Emotional communication is an interactive way that people interact with each other; the emotional response of an individual is influenced by the language, facial expressions, actions, and other forms of other people or groups, resulting in individual unconscious, involuntary, emotional reactions and behavioral compliance. People's emotional communication may have a two-way or multidirectional influence, so that the mood tends to be the same, which leads to more consistent behaviour. In the securities market, investors communicate with each other and express their opinions.

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References

Majid Goodarzi,Soheil Mohammadi,Ahmad Jafari. (2015), Numerical analysis of rock fracturing by gas pressure using the extended finite element method. Petroleum Science, 12 (02). 304-315.

WU ChungMin,CHOU ShengChun,LIAW HorngTwu. (2014), A trend based investment decision approach using clustering and heuristic algorithm. Science China(Information Sciences), 57 (09). 204-217.

GUO Shi-li,LIU Shao-quan,LUO Ren-fu,ZHANG Lin-xiu. (2014), Determinants of Public Goods Investment in Rural Communities in Mountainous Areas of Sichuan Province, China. Journal of Mountain Science,11 (03). 816-824.

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Published

2025-01-10

How to Cite

Deep learning models for Sentiment data analysis using CAE simulation (G.Marly, R.Mariammal, M.Joice Jesie , M.Arthi Priyadharshini , Trans.). (2025). Cuestiones De Fisioterapia, 54(2), 1891-1910. https://doi.org/10.48047/2qzraq42