abstract Social media is a very important means of communication. 59.4% of the total population of the world, including Bangladesh, i.e., 4.9 billion people, use social media. Everyone, young and old, expresses their opinion on many popular media sites like Facebook and Twitter. The people of Bangladesh are no exception, with an annual growth rate of 10.1%, that is, 29.7% of the total population, which is 50.3 million people, using this medium to discuss pros and cons, pros and cons, problem-solving, and values. Abusive commenters identify themselves emotionally. Which we constantly see on social media, day and night. Therefore, I feel the need to determine the emotional identity of people by classifying responses to good and abusive language based on these categories of comments. This paper is about "detecting signs of emotional behavior in response to liking, love, care, laughter, surprise, crying, anger, and dislike through social communication". A person's emotional identity in comments used on social media through this article is capable of identifying and controlling offensive content. Keywords: Social media, Abusive comments, Signs, Emotional behavior.

1. Reactions and comments on social
media convey a person's identity
PRESENTED BY
2ND INTERNATIONAL CONFERENCE ON ENGINEERING, SOCIAL
SCIENCES, AND MANAGEMENT (ICESSM-2023) ON JUNE 22
MD. HASAN ALI

2. abstract
Social media is a very important means of communication. 59.4% of the total population of
the world, including Bangladesh, i.e., 4.9 billion people, use social media. Everyone, young
and old, expresses their opinion on many popular media sites like Facebook and Twitter. The
people of Bangladesh are no exception, with an annual growth rate of 10.1%, that is, 29.7% of
the total population, which is 50.3 million people, using this medium to discuss pros and
cons, pros and cons, problem-solving, and values. Abusive commenters identify themselves
emotionally. Which we constantly see on social media, day and night. Therefore, I feel the
need to determine the emotional identity of people by classifying responses to good and
abusive language based on these categories of comments. This paper is about "detecting
signs of emotional behavior in response to liking, love, care, laughter, surprise, crying, anger,
and dislike through social communication". A person's emotional identity in comments used
on social media through this article is capable of identifying and controlling offensive
content.
Keywords: Social media, Abusive comments, Signs, Emotional behavior.

3. Table Of Content
Introduction 01
Problem Statement 02
Reaction Model 03
Implementation 04
Results & Analysis 05
Conclusions 06

4. Commenting and reacting on social media is entirely
dependent on a person's mindset and thinking, which are
inspired by and related to relative events. The reaction
sign model is composed of the relative behavioral
processing level of the person's emotional thoughts and
environmental events. Through this, people are able to get
a mental identity from unstructured data. It has levels of
good and bad and many learning levels. The reaction
layers are purely conventional; the comment layers are
made up of emotional thoughts and current events.
Which uses social media as a means of identifying people,
which helps in predicting and warning of various harmful
aspects. The aim and objective of the project are to
increase social awareness through the prevention of
harmful social effects and influencers on social media.
• Introduction

5. 2. Problem
Statement
The project "Behavioral classification of
various comments and responses used in
social media" aims to automatically detect
the emotional identity of social media
users and develop their receptive and
sophisticated thinking using deep
learning techniques.

7. The following figure shows the various reactions of a human being. The response classification
architecture diagram is shown in Figure 1. The image depicts various stages like choice, love, care,
surprise, sadness, pain, and anger. When a person uses the like symbol, it should be understood that the
person is an ordinary person because there may not be any likeability in him. Conventional, therefore, he
always uses such symbols. Then his emotional identity and individuality emerge in the symbols used by
the series.

8. 4. Implementation
The Methodology is the description of responses that
involve comments and mindsets. The method talks about
comments, reactions, and others on social media.

9. 5. Results &
Analysis

10. Elias Hossain post react data
Fig.
2

11. Data Analysis
Fig.
3

12. Funnel Chart
Fig.
4

13. 6. CONCLUSIONS
THIS STUDY AIMS TO PROVIDE PERSONAL AND
ENVIRONMENTAL SAFETY THROUGH SOCIAL MEDIA. TO
ACCOMPLISH THIS GOAL, DESCRIPTIVE DATA AND
MODELS ARE USED TO AUTOMATICALLY IDENTIFY
PEOPLE'S EMOTIONAL IDENTITIES FROM COMMENTS
AND FEEDBACK ON SOCIAL MEDIA, PARTICULARLY
FACEBOOK. THUS, THE RESEARCH PAPER HELPS TO
REDUCE PEOPLE'S BEHAVIORAL REACTIONS AND
COMMENTS, AS WELL AS THEIR ABUSE AND
HARASSMENT. AS A RESULT OF THIS RESEARCH, MANY
PEOPLE GAIN AWARENESS AND AN ACCURATE
UNDERSTANDING OF VARIOUS SUBJECTS AND
INDIVIDUALS.

14. THANK YOU!