Emotion Detection Using Simple Neural Network and Text Data
Abstract
This study is about a computer program that can figure out how people are feeling from what they write. It looks at what people say and puts it into groups, like happy, sad, angry, scared and surprised. The program uses a way of looking at the words and a simple neural network to do this. The goal is to make the program work well without using much computer power. This kind of program can be used for things like seeing how people feel about something watching out for peoples health making chatbots better looking at what people say on social media and helping with online learning.
Fields of Study & Subjects
Sentiment Analysis and Opinion Mining
Emotion and Mood Recognition
Mental Health via Writing
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 10 January 2026
- Language
- EN