THE ANALYSIS OF FIGURATIVE LANGUAGE IN CONVEYING THE EMOTIONAL EXPRESSION IN OLIVIA RODRIGO'S SONG

research
  • 04 Mar
  • 2025

THE ANALYSIS OF FIGURATIVE LANGUAGE IN CONVEYING THE EMOTIONAL EXPRESSION IN OLIVIA RODRIGO'S SONG

Bahasa Kiasan, Ekspresi Emosional, dan lirik lagu.

Unduhan

 

  • 1. COVER.pdf

    Cover skripsi

    •   diunduh 4x | Ukuran 21,152

REFERENSI

Anjan Chatterjee, E. R. C. (2021). Brain,Beauty and Art: Essays Bringing.

https://doi.org/DOI: 10.1093/oso/9780197513620.001.0001

Brand, C. O., Acerbi, A., & Mesoudi, A. (2019). Cultural evolution of emotional

expression in 50 years of song lyrics. Evolutionary Human Sciences, 1, 1–14.

https://doi.org/10.1017/ehs.2019.11

Christian D Ginsburg. (2022). The Song of Songs.

https://books.google.co.id/books/publisher/content?id=5KacEAAAQBAJ&hl=i

d&pg=PA1&img=1&zoom=3&sig=ACfU3U2qnn0ejJ2lfBDVWK6qxD2QrsPE

mQ&w=1280

Cirelli, Laura K.Trehub, S. E. (2020). Familiar Songs Reduce Infant Distress.

Developmental Psychology, 56(5), 861–868. https://doi.org/10.1037/dev0000917

Delwe, D., & Delwér. (2023). The Power of Lyrics From user behaviour to use cases:

Understanding opportunities for digital lyrics in a home context.

https://odr.chalmers.se/bitstreams/03628bfa-acf8-49ac-aba7-

38fa944cdf19/download

Dmitrij Dobrovol’skij, E. P. (n.d.). Figurative Language:Cross-Cultural and Cross-

Linguistic Perspectives.

https://books.google.com/books?hl=id&lr=&id=AYhnEAAAQBAJ&oi=fnd&p

g=PR5&dq=Dmitrij++Dobrovol%27skij+and+Elisabeth+Piirainen+(2021)&ots

=PkWjbXeNF0&sig=lUp_xds22XmGGhVkm-YWtJoT5hw

Dykeman, C. (2023). Title: A Corpus Linguistic Analysis of Lyrics and Suicide.

https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/bz60

d4942

50Gomez-Canon, J. S., Cano, E., Eerola, T., Herrera, P., Hu, X., Yang, Y. H., & Gomez,

E. (2021). Music Emotion Recognition: Toward new, robust standards in

personalized and context-sensitive applications. IEEE Signal Processing

Magazine, 38(6), 106–114. https://doi.org/10.1109/MSP.2021.3106232

Han, D., Kong, Y., Han, J., & Wang, G. (2022). A survey of music emotion

recognition. Frontiers of Computer Science, 16(6), 1–11.

https://doi.org/10.1007/s11704-021-0569-4

Heggli, O. A., Stupacher, J., & Vuust, P. (2021). Diurnal fluctuations in musical

preference. Royal Sosiety Open Science, 8(11).

https://doi.org/10.1098/rsos.210885

Howard R. Pollio, Jack M. Barlow, Harold J. Fine, M. R. P. (2023). Psychology and

the Poetics of Growth:Figurative Language in Psychology, Psychotherapy, and

Education Psychology Revivals. 274.

https://books.google.co.id/books?id=WanREAAAQBAJ&lpg=PP1&ots=fGYPk

YNe5Z&dq=Howard R. Pollio and Jack M. Barlow

(2023)&lr&hl=id&pg=PR5#v=onepage&q=Howard R. Pollio and Jack M.

Barlow (2023)&f=false

Iveland, K. L. (2024). Lyrics,Voices and the Stories They Tell.

https://hdl.handle.net/11250/3123686

Lakoff, G., Johnson, M., & Berkeley, U. C. (2020). Conceptual metaphor in everyday

language. The Journal of Philosophy, 77(8), 453–486.

https://escholarship.org/content/qt2p93q7nr/qt2p93q7nr.pdf

Lee-Smith, A. (2024). Sing My Story: Lyrics and Music as Storytelling for Language

Learners. NECTFL Review, Number, 92(92), 181–196.

Liao, C. (2020). A Cognitive Analysis of Conceptual Metaphor in the Lyrics of Taylor

Swift. International Journal of Humanities and Innovation (IJHI), 16(4), 69–74.

https://doi.org/10.3968/11967

Matthews, T. E., Stupacher, J., & Vuust, P. (2023). The Pleasurable Urge to Move to

51Music Through the Lens of Learning Progress. Journal of Cognition, 6(1), 1–22.

https://doi.org/10.5334/joc.320

Nixon, L., & Nixon, L. (2021). Beyond Representation:Music, Language,and Mental

Life by Declaration of Committee. https://summit.sfu.ca/_flysystem/fedora/2022-

08/input_data/21536/etd21384.pdf

Panda, R., Malheiro, R., & Paiva, R. P. (2023). Audio Features for Music Emotion

Recognition: A Survey. IEEE Transactions on Affective Computing, 14(1), 68–

88. https://doi.org/10.1109/TAFFC.2020.3032373

Patrice Larrouque. (2023). An Introduction to Linguistics through Popular Music.

https://doi.org/Https:/doi.org/10.1007/978-3-031-24703-3

Patrik N Juslin,Laura S.Sakka,Goncalo T Baraddas, O. lartillot. (2022).

EMOTIONS,MECHANISMS, AND INDIVIDUAL DIFFERENCES IN MUSIC

LISTENING:ASTRATIFIED RANDOM SAMPLING APPROACH. 32.

https://doi.org/https://doi.org/10.1525/mp.2022.40.1.55

POLIAKOVA, H. (2023). Means of Creation of Conceptuality in Modern Song Texts.

Humanities Science Current Issues, 2(70), 200–204.

https://doi.org/10.24919/2308-4863/70-2-28

Polignano, M., Narducci, F., de Gemmis, M., & Semeraro, G. (2021). Towards

Emotion-aware Recommender Systems: an Affective Coherence Model based on

Emotion-driven Behaviors. Expert Systems with Applications, 170(January

2021). https://doi.org/10.1016/j.eswa.2020.114382

Sarika Vidyasagar, B., & Karwande, A. V. (2021). Emotion Based Music

Recommendation System By Using Different Ml Approach. International

Journal of Advance Scientific Research and Engineering Trends, 6(6), 181–186.

https://doi.org/10.51319/2456-0774.2021.6.0044

Schäfer, K., & Eerola, T. (2020). How listening to music and engagement with other

media provide a sense of belonging: An exploratory study of social surrogacy.

Psychology of Music, 48(2), 232–251.

52https://doi.org/10.1177/0305735618795036

Shavazipour, A., Jan, H., Multi-scenario, K., Shavazipour, B., Kwakkel, J. H., &

Miettinen, K. (2021). This is a self-archived version of an original article .This

version may differ from the original in pagination and typographic details .

approach Copyright : Rights : Rights url : Please cite the original version :

Multi- scenario multi-objective robust. Environmental Modelling and Software,

144(2), 105134. https://doi.org/10.1016/j.envsoft.2021.105134

Song, W., Shea, L., Nonnemacher, S. L., Brusilovskiy, E., Townley, G., & Salzer, M.

S. (2022). Community Participation Comparison Between Adults on the Autism

Spectrum and Adults in the General Population. Journal of Autism and

Developmental Disorders, 52(4), 1610–1621. https://doi.org/10.1007/s10803-

021-05059-9

Spreadborough, K. (2022). Emotional Tones and Emotional Texts: A New Approach

to Analyzing the Voice in Popular Vocal Song. Music Theory Online, 28(2),

1–56. https://doi.org/10.30535/MTO.28.2.7

Viskovatykh, E. (n.d.). Exploring figurative language recognition: a comprehensive

study of human and machine approaches. https://hdl.handle.net/2445/202921

Yang, S., Reed, C. N., Chew, E., Barthet, M., Yang, S., Reed, C. N., Chew, E., Barthet,

M., Emotion, E., Yang, S., Reed, C. N., Chew, E., & Barthet, M. (2021). Music

Performance To cite this version : Examining Emotion Perception Agreement in

Live Music Performance. https://ieeexplore.ieee.org/abstract/document/9468946/

Yule, G. (2020). The study of language. Cambridge University

Press. https://doi.org/10.1017/9781009233446