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Mood Detection using Sentiment Analysis
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 184 - Number 26 |
| Year of Publication: 2022 |
| Authors: Neil Khanolkar, Ajinkya Sathe, Ketaki Shinde, Aarti M. Karande |
10.5120/ijca2022922316
|
Neil Khanolkar, Ajinkya Sathe, Ketaki Shinde, Aarti M. Karande . Mood Detection using Sentiment Analysis. International Journal of Computer Applications. 184, 26 ( Aug 2022), 16-20. DOI=10.5120/ijca2022922316
Abstract
Since this pandemic has taken place the world is not in a great condition physically and mentally. People are witnessing all kinds of unexpected circumstances. Under such circumstances, people tend to break down. Mental health is like a catalyst to physical health; it can either boost up or tank the entire recovery mechanism of a person. Everyone should have a healthy mindset toward life. Mood Trend is a system which aids users' mindset or mood with small amounts of positive reinforcements. In this way, we make a significant impact on users' lives in the long run. The website will detect the sentiment behind the user's words and provide content to enhance their mood. The user can view this content material to lighten his/her temper or to control stress. Mood Trend also has an option where the users can upload a picture of themselves and the system will detect sentiment.
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