Machine Learning for Sentimental Analysis of Gun Control on Twitter
Added on 2023-06-15
21 Pages1488 Words315 Views
Gun Control
Introduction
Violence related to gun has become a complex matter and it is accountable for a massive
populace of the violent incidents.
In December 2012 a heavily armed young man having mental illness found right of entry to his
mother’s lawfully possessed guns and gunshot his way into the protected apartment of the Sandy
Hook Elementary School (SHES) in Connecticut, USA.
The young man had killed approximately 26 people consisting of six adults and twenty kids and
lastly shot himself.
The mass shooting at Sandy Hook Elementary School led to a heated debate and legislation
regarding gun control across the entire United States.
Violence related to gun has become a complex matter and it is accountable for a massive
populace of the violent incidents.
In December 2012 a heavily armed young man having mental illness found right of entry to his
mother’s lawfully possessed guns and gunshot his way into the protected apartment of the Sandy
Hook Elementary School (SHES) in Connecticut, USA.
The young man had killed approximately 26 people consisting of six adults and twenty kids and
lastly shot himself.
The mass shooting at Sandy Hook Elementary School led to a heated debate and legislation
regarding gun control across the entire United States.
Cont’
The incident of mass shooting was primarily based on gun ownership and gun
control with people giving different views advocating for tougher gun control.
However, the tougher gun control views has been in clash with the America
Constitutional second amendment advocating for the right to hold firearms.
The incident of mass shooting was primarily based on gun ownership and gun
control with people giving different views advocating for tougher gun control.
However, the tougher gun control views has been in clash with the America
Constitutional second amendment advocating for the right to hold firearms.
Machine Learning for Sentimental
Analysis
To realise this, the research paper make use of machine learning sentiment analysis.
Machine learning illustrate more than 300, 000 tweets made by people in the
United Sates.
A machine learning system is trained to deduct sentiment information from tweets
that is a tweet which is formulated neutrally, negatively or positively.
The machine learning is trained to analyse the stance recognition that is when an
individual is against, in favour of or neutral towards a given subject matter and in
this case gun control in the U.S
Analysis
To realise this, the research paper make use of machine learning sentiment analysis.
Machine learning illustrate more than 300, 000 tweets made by people in the
United Sates.
A machine learning system is trained to deduct sentiment information from tweets
that is a tweet which is formulated neutrally, negatively or positively.
The machine learning is trained to analyse the stance recognition that is when an
individual is against, in favour of or neutral towards a given subject matter and in
this case gun control in the U.S
Why Twitter
The researcher use Twitter in data collection because it has various advantages
which makes it a significant tool for sentimental analysis.
Twitter is a free online social media platform that allow users to share messages
freely what is commonly referred to as tweets
Every tweet is restricted to a specific number of characters.
Microblogging service Twitter is capable of collecting tweets from individuals
with dissimilar cultural, social and economic settings.
The researcher use Twitter in data collection because it has various advantages
which makes it a significant tool for sentimental analysis.
Twitter is a free online social media platform that allow users to share messages
freely what is commonly referred to as tweets
Every tweet is restricted to a specific number of characters.
Microblogging service Twitter is capable of collecting tweets from individuals
with dissimilar cultural, social and economic settings.
Cont’
The database of twitter keep on growing each day thus Twitter is an infinite data
resource.
Twitter is the most ideal microblogging service for gathering and analysing data.
For the purpose of gun control sentimental analysis and stance recognition Twitter
is the most appropriate for sentiment analysis.
The database of twitter keep on growing each day thus Twitter is an infinite data
resource.
Twitter is the most ideal microblogging service for gathering and analysing data.
For the purpose of gun control sentimental analysis and stance recognition Twitter
is the most appropriate for sentiment analysis.
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