dc.contributor.author |
Hasan, Md. Jahidul |
|
dc.contributor.author |
Barai, Sushmita |
|
dc.contributor.author |
Akter, Afsana |
|
dc.date.accessioned |
2021-07-13T05:24:51Z |
|
dc.date.available |
2021-07-13T05:24:51Z |
|
dc.date.issued |
2021-07-31 |
|
dc.identifier.uri |
http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5900 |
|
dc.description.abstract |
Nowadays the World is getting more and more dependent on the internet. In this Web 2.0 field the
Social media getting popularity for its limitless usages with different features. It has become
everyone’s important part of life as they start to spend more time there. So, cyber-victimization on
social media has also awakened due to this. People are now being cheated, harassed, or bullied
over the internet. The aim of this research work came up with the idea of monitoring or analyzing
the data from a specific location or even from a specific keyword or from a specific user to find
out the sentiments behind his/her posts, comments.
The applications of sentiment analysis are broad and powerful in many ways. The ability to extract
insights from social data is a practice that is being widely adopted by organizations across the
world.
Sentiment analysis is extremely useful in social media monitoring as it allows us to gain an
overview of the wider public opinion behind certain topics. Being able to quickly see the sentiment
behind everything from forum posts to news articles means being better able to strategize and plan
for the future. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Daffodil International University |
en_US |
dc.subject |
Cyber attacks |
en_US |
dc.subject |
Cyber terrorism |
en_US |
dc.subject |
Social media--Influence |
en_US |
dc.subject |
Digital media--Social aspects |
en_US |
dc.title |
Sentiment Analysis of Cyber-victimized Text Detection Along With the Location on Social Media |
en_US |
dc.type |
Other |
en_US |