Emotion Recognition from Formal Text (Poetry)


Authors : Archana Singh; Priyanshu Kumar Mahato; Varsha A. Nale

Volume/Issue : Volume 8 - 2023, Issue 3 - March

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://bit.ly/3ZnLZ0X

DOI : https://doi.org/10.5281/zenodo.7776669

Abstract : The field of computational intelligence has mostly overlooked the classification of emotional states from poetry or formal text in recent times, unlike informal textual content such as SMS, email, chat and online reviews. To fill this gap, a new study proposes an emotional state classification system for poetry text that utilizes Deep Learning technology. Specifically, the study intends to use an attention-based C-LSTM model to categorize poetry text into various emotional states, including love, joy, hope, sadness, and anger.

The field of computational intelligence has mostly overlooked the classification of emotional states from poetry or formal text in recent times, unlike informal textual content such as SMS, email, chat and online reviews. To fill this gap, a new study proposes an emotional state classification system for poetry text that utilizes Deep Learning technology. Specifically, the study intends to use an attention-based C-LSTM model to categorize poetry text into various emotional states, including love, joy, hope, sadness, and anger.

Video Explanation for Published paper

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