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Report . 2026
License: CC BY
Data sources: Datacite
ZENODO
Report . 2026
License: CC BY
Data sources: Datacite
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Emotion Detection Using Simple Neural Network and Text Data

Authors: Patel, Priyanshi;

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.

Keywords

Emotion Detection, Machine Learning, Neural Networks, Sentiment Analysis, Text Classification, Natural Language Processing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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