Whatsapp APK for Stickers

Authors

  • Yashraj Londhe Diploma Students, Department of Computer Engineering, Sahakar Maharshi Shankarrao Mohite Patil Institute of Technology and Research, Akluj, Solapur, Maharashtra Author
  • Harsh Salunkhe Diploma Students, Department of Computer Engineering, Sahakar Maharshi Shankarrao Mohite Patil Institute of Technology and Research, Akluj, Solapur, Maharashtra Author
  • Arman Mulani Diploma Students, Department of Computer Engineering, Sahakar Maharshi Shankarrao Mohite Patil Institute of Technology and Research, Akluj, Solapur, Maharashtra Author
  • Sanjana Patole Diploma Students, Department of Computer Engineering, Sahakar Maharshi Shankarrao Mohite Patil Institute of Technology and Research, Akluj, Solapur, Maharashtra Author
  • Diksha Maskhe Diploma Students, Department of Computer Engineering, Sahakar Maharshi Shankarrao Mohite Patil Institute of Technology and Research, Akluj, Solapur, Maharashtra Author
  • Mr. Godase R. C. Lecture, Department of Computer Engineering, Sahakar Maharshi Shankarrao Mohite Patil Institute of Technology and Research, Akluj, Solapur, Maharashtra Author

DOI:

https://doi.org/10.29070/5h4a1n05

Keywords:

Technology Acceptance , Model, gratifications , Machine Learning Algorithms

Abstract

Due to their good sized use, WhatsApp stickers are gaining enchantment amongst college students, especially in academic Whatsapp groups. However, college college students' recognition of stickers remains in low supply. As a result, the purpose of this observe is to experimentally look at the elements that impact WhatsApp decal recognition the use of a proposed theoretical version that mixes the era recognition version (TAM) with the makes use of and gratifications theory (UG). A questionnaire survey become dispatched out to 372 college students who were collaborating in a WhatsApp Group Talk. Using device studying methods, a unique method become used to research the hypothesised correlations many of the constructs withinside the studies version. The outcomes discovered that the IBK and Random Forest classifiers outperformed the others.

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References

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Al-Qaysi, N., Mohamad-Nordin, N., Al-Emran, M. (2019). An empirical investigation of students’ attitudes towards the use of social media in omani higher education. In: International Conference on Advanced Intelligent Systems and Informatics, pp. 350–359.

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Lin, T.C., Fang, D., Hsueh, S.Y., Lai, M.C. (2019). Drivers of participation in Facebook long-term care groups: applying the use and gratification theory, social identification theory, and the modulating role of group diversity. Health Inf. J.

Prahalad, C.K., Ramaswamy, V. (2004). Co-creation experiences: the next practice in value creation. J. Interact. Mark.

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Published

2022-03-01

Issue

Vol. 19 No. 1 (2022): Journal of Advances in Science and Technology (JAST)

Section

Articles