Have a personal or library account? Click to login
Emotional Valence Coded in the Phonemic Content – Statistical Evidence Based on Corpus Analysis Cover

Emotional Valence Coded in the Phonemic Content – Statistical Evidence Based on Corpus Analysis

Open Access
|Jun 2020

References

  1. 1. Abbassi, E., K. Kahlaoui, M. A. Wilson, Y. Joanette. Processing the Emotions in Words: The Complementary Contributions of the Left and Right Hemispheres. – Cognitive, Affective, & Behavioral Neuroscience, Vol. 11, 2011, No 3, pp. 372-385.<a href="https://doi.org/10.3758/s13415-011-0034-121533883" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3758/s13415-011-0034-121533883</a>
  2. 2. Adelman, J. S., Z. Estes, M. Cossu. Emotional Sound Symbolism: Languages Rapidly Signal Valence via Phonemes. – Cognition, Vol. 175, 2018, pp. 122-130.<a href="https://doi.org/10.1016/j.cognition.2018.02.00729510337" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.cognition.2018.02.00729510337</a>
  3. 3. Aryani, A., M. Conrad, A. M. Jacobs. Extracting Salient Sublexical Units from Written Texts: “Emophon,” A Corpus-Based Approach to Phonological Iconicity. – Frontiers in Psychology, Vol. 4, 2013, p. 654.<a href="https://doi.org/10.3389/fpsyg.2013.00654378724824101907" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3389/fpsyg.2013.00654378724824101907</a>
  4. 4. Aryani, A., M. Kraxenberger, S. Ullrich, A. M. Jacobs, M. Conrad. Measuring the Basic Affective Tone of Poems via Phonological Saliency and Iconicity. – Psychology of Aesthetics, Creativity, and the Arts, Vol. 10, 2016, No 2.<a href="https://doi.org/10.1037/aca0000033" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1037/aca0000033</a>
  5. 5. Bradley, M. M., P. J. Lang. Affective Norms for English Words (ANEW): Stimuli, Instruction Manual and Affective Ratings (Technical Report No C-1). Gainesville, FL: NIMH Center for Research in Psychophysiology, University of Florida, 1999.
  6. 6. Buechel, S., U. Hahn. Emotion Analysis as a Regression Problem – Dimensional Models and Their Implications on Emotion Representation and Metrical Evaluation. – In: Proc. of 22nd European Conference on Artificial Intelligence, IOS Press, 2016, pp. 1114-1122.
  7. 7. Buechel, S., U. Hahn. Readers vs. Writers vs. Texts: Coping with Different Perspectives of Text Understanding in Emotion Annotation. – In: Proc. of 11th Linguistic Annotation Workshop, 2017, pp. 1-12.
  8. 8. Buechel, S., U. Hahn. EMOBANK: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis. – In: Proc. of 15th Conference of the European Chapter of the Association for Computational Linguistics, Vol. 2, Short Papers, 2017, pp. 578-585.
  9. 9. Buechel, S., U. Hahn. A Flexible Mapping Scheme for Discrete and Dimensional Emotion Representations: Evidence from Textual Stimuli. – In: Proc. of 39th Annual Meeting of the Cognitive Science Society (CogSci 2017), 2017, pp. 180-185.
  10. 10. D’Anselmo, A., G. Prete, P. Zdybek, L. Tommasi, A. Brancucci. Guessing Meaning from Word Sounds of Unfamiliar Languages: A Cross-Cultural Sound Symbolism Study. – In: Frontiers in Psychology. Vol. 10. 2019. 593 p.<a href="https://doi.org/10.3389/fpsyg.2019.00593643383630941080" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3389/fpsyg.2019.00593643383630941080</a>
  11. 11. De Saussure, F. Course in General Linguistics (Trans. Roy Harris). London: Duckworth, 1916/1983.
  12. 12. Dingemanse, M., D. E. Blasi, G. Lupyan, M. H. Christiansen, P. Monaghan. Arbitrariness, Iconicity, and Systematicity in Language. – Trends in Cognitive Sciences, Vol. 19, 2015, No 10, pp. 603-615.<a href="https://doi.org/10.1016/j.tics.2015.07.01326412098" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.tics.2015.07.01326412098</a>
  13. 13. Dolan, R. J. Emotion, Cognition, and Behavior. – Science, Vol. 298, pp. 1191-1194.<a href="https://doi.org/10.1126/science.107635812424363" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1126/science.107635812424363</a>
  14. 14. Edmiston, P., M. Perlman, G. Lupyan. Repeated Imitation Makes Human Vocalizations More Word-Like. – Proceedings of the Royal Society B: Biological Sciences, Vol. 285, 2002, No 1874.<a href="https://doi.org/10.1098/rspb.2017.2709587962929514962" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1098/rspb.2017.2709587962929514962</a>
  15. 15. Ekman, P. Basic Emotions. Handbook of Cognition and Emotion, 1999, pp. 45-60.<a href="https://doi.org/10.1002/0470013494.ch3" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1002/0470013494.ch3</a>
  16. 16. Fuster, J. Cortex and Mind. New York City, Oxford University Press, 2003.
  17. 17. Imai, M., S. Kita. The Sound Symbolism Bootstrapping Hypothesis for Language Acquisition and Language Evolution. – Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 369, 2014, No 1651.<a href="https://doi.org/10.1098/rstb.2013.0298412367725092666" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1098/rstb.2013.0298412367725092666</a>
  18. 18. Jakobson, R. Linguistics and Poetics. – In: Style in Language. MA, MIT Press, 1960, pp. 350-377.
  19. 19. Jones, J. M., G. Vigliocco. Iconicity in Word Learning: What Can We Learn from Cross- Situational Learning Experiments? – In: Proc. of Annual Meeting of the Cognitive Society, 2017.
  20. 20. Kawahara, S., K. Shinohara. A Tripartite Trans-Modal Relationship among Sounds, Shapes and Emotions: A Case of Abrupt Modulation. – In: Proc. of Annual Meeting of the Cognitive Science Society, Vol. 34, 2012, No 34.
  21. 21. Köhler, W. Gestalt Psychology. New York, NY: Liveright, 1929.
  22. 22. Maddock, R. J., A. S. Garrett, M. H. Buonocore. Posterior Cingulate Cortex Activation by Emotional Words: fMRI Evidence from a Valence Decision Task. – Human Brain Mapping, Vol. 18, 2003, No 1, pp. 30-41.<a href="https://doi.org/10.1002/hbm.10075" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1002/hbm.10075</a>
  23. 23. Macoir, J., C. Hudon, M. P. Tremblay, R. J. Laforce, M. A. Wilson. The Contribution of Semantic Memory to the Recognition of Basic Emotions and Emotional Valence: Evidence from the Semantic Variant of Primary Progressive Aphasia. – Social Neuroscience, 2019, pp. 1-12.<a href="https://doi.org/10.1080/17470919.2019.1577295" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1080/17470919.2019.1577295</a>
  24. 24. Marinkovic, K., R. P. Dhond, A. M. Dale, M. Glessner, V. Carr, E. Halgren. Spatiotemporal Dynamics of Modality-Specific and Supramodal Word Processing. – Neuron, Vol. 38, 2003, No 3, pp. 487-497.<a href="https://doi.org/10.1016/S0896-6273(03)00197-1" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/S0896-6273(03)00197-1</a>
  25. 25. Ortiz-Rios, M., P. Kuśmierek, I. DeWitt, D. Archakov, F. A. Azevedo, M. Sams, J. P. Rauschecker. Functional MRI of the Vocalization-Processing Network in the Macaque Brain. – Frontiers in Neuroscience, Vol. 9, 2015.<a href="https://doi.org/10.3389/fnins.2015.00113" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3389/fnins.2015.00113</a>
  26. 26. Russell, J. A., A. Mehrabian. Evidence for a Three-Factor Theory of Emotions. – Journal of Research in Personality, Vol. 11, 1977, No 3, pp. 273-294.<a href="https://doi.org/10.1016/0092-6566(77)90037-X" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/0092-6566(77)90037-X</a>
  27. 27. Scott, G. G., A. Keitel, M. Becirspahic, B. Yao, S. C. Sereno. The Glasgow Norms: Ratings of 5,500 Words on Nine Scales. – In: Behavior Research Methods. 2018, pp. 1-13.<a href="https://doi.org/10.31234/osf.io/akzyx" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.31234/osf.io/akzyx</a>
  28. 28. Shklovsky, V. Theory of Prose. Transl. B. Sher. Elmwood Park, IL: Dalkey Archive, 1990.
  29. 29. Sidhu, D. M., P. M. Pexman. Five Mechanisms of Sound Symbolic Association. – In: Psychonomic Bulletin & Review. Vol. 25. No 5. 2018, pp. 1619-1643.<a href="https://doi.org/10.3758/s13423-017-1361-128840520" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3758/s13423-017-1361-128840520</a>
  30. 30. Slavova, V. Towards Emotion Recognition in Texts – A Sound-Symbolic Experiment. – International Journal of Cognitive Research in Science, Engineering and Education, Vol. 7, 2019, No 2, pp. 41-51.<a href="https://doi.org/10.5937/IJCRSEE1902041S" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.5937/IJCRSEE1902041S</a>
  31. 31. Slavova, V., A. Soschen. On Mental Representations: Language Structure and Meaning Revised. – International Journal Information Theories & Applications, Vol. 2, 2015, No 4, pp. 316-325.
  32. 32. Slavova, V., H. Sahli, W. Verhelst. Multimodal Emotion Recognition – More Cognitive Machines. – In: L. Fernando, J. de Mingo Lopez, C. K. Markov, K. Ivanova, I. Mitov, Eds. New Trends in Intelligent Technologies: Supplement to the Journal Information Technologies and Knowledge, Sofia, Institute of Information Theories and Applications FOI ITHEA, 2009, pp. 70-78.
  33. 33. Ullrich, S., A. Aryani, M. Kraxenberger, A. M. Jacobs, M. Conrad. On the Relation between the General Affective Meaning and the Basic Sublexical, Lexical, and Inter-Lexical Features of Poetic Texts – A Case Study Using 57 Poems of HM Enzensberger. – In: Frontiers in Psychology. Vol. 7. 2017, 2073.<a href="https://doi.org/10.3389/fpsyg.2016.02073522514428123376" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3389/fpsyg.2016.02073522514428123376</a>
  34. 34. VanOrden, G. C., J. C. Johnston, B. L. Hale. Word Identification in Reading Proceeds from Spelling to Sound to Meaning. – Journal of Experimental Psychology: Learning, Memory, and Cognition, Vol. 14, 1988, No 3.<a href="https://doi.org/10.1037/0278-7393.14.3.371" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1037/0278-7393.14.3.371</a>
  35. 35. Warriner, A. B., V. Kuperman, M. Brysbaert. Norms of Valence, Arousal, and Dominance for 13,915 English Lemmas. – Behavior Research Methods, Vol. 45, 2013, No 4, pp. 1191-1207.<a href="https://doi.org/10.3758/s13428-012-0314-x23404613" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3758/s13428-012-0314-x23404613</a>
  36. 36. Whissell, C. Phonosymbolism and the Emotional Nature of Sounds: Evidence of the Preferential Use of Particular Phonemes in Texts of Differing Emotional Tone. – Perceptual and Motor Skills, Vol. 89, 1999, No 1, pp. 19-48.<a href="https://doi.org/10.2466/pms.1999.89.1.1910544399" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.2466/pms.1999.89.1.1910544399</a>
  37. 37. Winter, B., M. Perlman, L. K. Perry, G. Lupyan. Which Words are Most Iconic?. – Interaction Studies, Vol. 18, 2017, No 3, pp. 443-464.<a href="https://doi.org/10.1075/is.18.3.07win" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1075/is.18.3.07win</a>
  38. 38. EmoBank Corpus [8]. Internet Resource. https://github.com/JULIELab/EmoBank
DOI: https://doi.org/10.2478/cait-2020-0012 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Language: English
Page range: 3 - 21
Submitted on: Feb 18, 2020
Accepted on: May 12, 2020
Published on: Jun 12, 2020
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year

© 2020 Velina Slavova, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.