لخّصلي

INTRODUCTION In today's world, information is a vital component that drives a public understanding and psychology.Hence it is necessary to prevent the spread of false information with offensive context which may harm the sentiments of others.The manual analysis of such huge data is not feasible and hence several computer-assisted applications are developed to perform exploratory data analysis and acquire the distribution of different varieties of information to understand the hidden information.With the tremendous growth in social medial platforms, such information spreads at exponential rates.

INTRODUCTION
In today’s world, information is a vital component that drives a
public understanding and psychology. With the tremendous growth
in social medial platforms, such information spreads at exponential rates. Due to this, these platforms may result in producing
a significant quantity of sentiment data. The manual analysis of
such huge data is not feasible and hence several computer-assisted
applications are developed to perform exploratory data analysis
and acquire the distribution of different varieties of information
to understand the hidden information. Considering the situation
today, during the COVID-19 outbreak [1] and the Russo-Ukrainian war [17] such analysis is an essential part to avoid any kind of miscommunication and false panic situations. Concerning such events,
the information that is being flooded on social media pertains a
huge influence on the general public. Hence it is necessary to prevent the spread of false information with offensive context which
may harm the sentiments of others.