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Analysis of Emotion using Machine Learning on Social Media Platform
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 183 - Number 26 |
| Year of Publication: 2021 |
| Authors: Sovit Nayak, Jugal Prasad Dutta |
10.5120/ijca2021921648
|
Sovit Nayak, Jugal Prasad Dutta . Analysis of Emotion using Machine Learning on Social Media Platform. International Journal of Computer Applications. 183, 26 ( Sep 2021), 28-30. DOI=10.5120/ijca2021921648
Abstract
In this rapid, non-stop world everything and everyone goes on dramatically and enthusiastically. And people don’t usually express themselves to their loved ones, this creates a sense of unreliability which leads to harm. Instead of speaking to their near and dear ones, they usually express themselves using social media. Usually, a lot of time people don't even know that they are depressed or have anxiety. Which leads to unreasonable actions like suicide? However, if we could know how they feel and somewhat solve their dilemma by consulting doctors and help groups. Here we are using machine learning algorithms to analyze their thoughts using polarity and subjectivity. Polarity determines emotions expressed in a sentence, emotions are closely related to sentiments. The strength of sentiment or opinion is typically linked to the intensity of certain emotions, e.g., joy and anger. And Subjectivity expresses some personal feelings, views, or beliefs. We would be able to find out if their views are positive or negative, further we could diagnose their mental condition and act accordingly.
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