2024
DOI: 10.4018/979-8-3693-1910-9.ch006
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Designing LSTM Networks for Emotion Modelling

Kiran Sree Pokkuluri,
S. S. S. N. Usha Devi N.,
Alex Khang

Abstract: This chapter presents a simple and effective approach to designing LSTM networks for the task of emotion recognition. Emotion modelling plays a crucial role in various applications, such as human-computer interaction, sentiment analysis, and affective computing. The proposed LSTM architecture incorporates sequential information inherent in emotional expressions, allowing the model to capture temporal dependencies and nuances in emotional states. The input data, typically in the form of time-series sequences, i… Show more

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