Niharikareddy Meenigea


Emojis are an inevitable record that will grow over the rest of the year, from marketing, especially virtual verbal interactions, to recovering statistics related to sentiment assessment and perspective mining. Making semantic exceptions allows people to make certain emotions and identities more “real”. Emojis are also used in the comment form. Comment form fees with emojis are more than just different strategies for mmenting. The content of the text and the emotion expressed by its severity are modified using emojis. In fact, emoji can be used to simulate facial gestures in informal text communication (ITC) for certain emotions such as sarcasm, sarcasm, and non-text humor.


Whig, P. (2019a). A Novel Multi-Center and Threshold Ternary Pattern. International Journal of Machine Learning for Sustainable Development, 1(2), 1–10.

Whig, P. (2019d). Exploration of Viral Diseases mortality risk using machine learning. International Journal of Machine Learning for Sustainable Development, 1(1), 11–20.

Whig, P., & Ahmad, S. N. (2011a). On the performance of ISFET-based device for water quality monitoring. Int’l J. of Communications, Network and System Sciences, 4(11), 709.

kolla, V. (2009). LANE DETECTION SYSTEM USING APPLICATION OF MACHINE LEARNING. Transactions on Latest Trends in Health Sector, 1(1). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/270


  • There are currently no refbacks.

Copyright (c) 2023 International Journal of Sustainable Development in Computing Science

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

A Double-Blind Peer Reviewed Journal