On the relationship of data mining-based sound and emotion in poetry

Manting Wu; Hongyan Wang

doi:10.1117/12.3012658

8 December 2023 On the relationship of data mining-based sound and emotion in poetry

Manting Wu, Hongyan Wang

Proceedings Volume 12943, International Workshop on Signal Processing and Machine Learning (WSPML 2023); 1294302 (2023) https://doi.org/10.1117/12.3012658
Event: International Workshop on Signal Processing and Machine Learning (WSPML 2023), 2023, Hangzhou, ZJ, China

Abstract

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.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Manting Wu and Hongyan Wang "On the relationship of data mining-based sound and emotion in poetry", Proc. SPIE 12943, International Workshop on Signal Processing and Machine Learning (WSPML 2023), 1294302 (8 December 2023); https://doi.org/10.1117/12.3012658

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available