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Issue title: Special section: Selected papers of LKE 2019
Guest editors: David Pinto, Vivek Singh and Fernando Perez
Article type: Research Article
Authors: Sreeja, P. S.a; * | Mahalakshmi, G. S.b
Affiliations: [a] Department of Computer Applications, Hindustan Institute of technology and Science, Padur, India | [b] DCSE, Anna University, Chennai, India
Correspondence: [*] Corresponding author. P. S. Sreeja, Department of Computer Applications, Hindustan Institute of technology and Science, Padur, India. E-mail: [email protected].
Abstract: Poem is a spontaneous flow of emotions. There are several emotion detection systems to identify emotions from speech, gestures, and text (blogs, newspapers, stories and medical reports). Since such systems do not exist for poetry, we take the first step in building a system to recognize emotions in poetry by constructing a benchmark corpus, the PERC (Poem Emotion Recognition Corpus), of poems written by Indian poets in English. In this research a novel graphical method, Poem Emotion Trajectory System (PETS), is proposed to depict the flow of emotion in a poem. PETS is based on the construction of a weighted directed graph as a means to represent the emotion flow among the verses of a given poem. The weights represent the transition probability among the emotion states considered. The significant advantage is that a dominant path for each emotion category is identified. Emotion flow along verses is analyzed using a graph-based approach. This method, applied to each emotion category, generalizes the emotion flow in each emotion class. This PETS can be applied in poetry therapy and to enhance creative thinking and writing.
Keywords: Poem emotion recognition corpus, emotion recognition, emotion analysis, poem emotion trajectory system, poem emotion trajectory graph, dominant emotion flow trajectory, natural language processing, artificial intelligence
DOI: 10.3233/JIFS-179885
Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 2213-2227, 2020
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