On the relationship of data mining-based sound and emotion in poetry
Manting Wu, Hongyan Wang · 2023
It is generally recognized that poetry is somehow related to emotion. Automatic mining of poetic emotions is hotly discussed in recent years. This paper demonstrates a descriptive analysis on a well-known sad poem When You Are Old in a new perspective of phonetics, aiming to figure out the relationship between sound and emotion in poetry. It is found that in this poem, alveolar is a salient group in place of articulation. Also, the frequency of monophthong and that of diphthong is significantly different. However, no significant results are found in voicing, manner of articulation, vowel duration, vowel height and vowel location. It is still possible that readers can recognize the poet’s suggested sentiment since the frequency of some phonemes are so statistically different that evokes readers emotion. Findings here could contribute to automatic emotion recognition, AI poetry therapy, machine translation, and automatically poem creation.