Authors :
Isha Raina; B. Indra Thannaya
Volume/Issue :
Volume 7 - 2022, Issue 4 - April
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3LiPWg2
DOI :
https://doi.org/10.5281/zenodo.6551716
Abstract :
Users of social networking sites can
approach their friends who are interested and
expressing their thoughts, feelings, and sentiments
through ideas, photographs, and videos. This opens
the door to studying online information for user
emotions and feelings in order to gain a better
understanding of their emotions and attitudes when
utilizing these online platforms.
Depression may be dangerous to one's health,
particularly if it is recurring and of moderate or
severe degree. It can make the individual suffer a lot
and make them perform poorly at job, school, and at
home. Suicide is a possibility when depression is
severe. It is one of the leading causes of death among
those between 15 to 29 of age.
Machine learning algorithms and Natural
Language As the facts state that around 700,000
people in one year kill themselves.
Processing will be employed in the proposed
problem statement to detect if a person is going
through mental distress. The main aim is to discover
that commonality within the tweets that can help in
identifying whether the individual is on the edge of
mental distress so that there’s no delay is reaching
out and helping the person who is suffering.
Users of social networking sites can
approach their friends who are interested and
expressing their thoughts, feelings, and sentiments
through ideas, photographs, and videos. This opens
the door to studying online information for user
emotions and feelings in order to gain a better
understanding of their emotions and attitudes when
utilizing these online platforms.
Depression may be dangerous to one's health,
particularly if it is recurring and of moderate or
severe degree. It can make the individual suffer a lot
and make them perform poorly at job, school, and at
home. Suicide is a possibility when depression is
severe. It is one of the leading causes of death among
those between 15 to 29 of age.
Machine learning algorithms and Natural
Language As the facts state that around 700,000
people in one year kill themselves.
Processing will be employed in the proposed
problem statement to detect if a person is going
through mental distress. The main aim is to discover
that commonality within the tweets that can help in
identifying whether the individual is on the edge of
mental distress so that there’s no delay is reaching
out and helping the person who is suffering.
