The Use of Sound Symbolism in Sentiment Classification

Igarashi, Takuma; Sasano, Ryohei; Takamura, Hiroya; Okumura, Manabu

doi:10.1007/978-3-642-32695-0_67

Cited by 3 publications

(4 citation statements)

References 2 publications

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“…A portion of this paper has been presented at the 12th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2012) (Igarashi, Sasano, Takamura, and Okumura 2012).…”

Section: Acknowledgementmentioning

confidence: 44%

Use of Sound Symbolism in Sentiment Classification

Igarashi¹,

Sasano²,

Takamura³

et al. 2013

Journal of Natural Language Processing

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In linguistics, sound symbolism is an idea that the vocal sounds of certain words carry meaning in themselves. This paper focuses on the sound symbolism of onomatopoeic words and demonstrates the close relationship between sound symbolism and sentiment polarity. Because onomatopoeic words imitate the sounds they represent, they can help us better understand the sentiment of a sentence when utilizing sound symbolism. Therefore, we modeled sound symbolism with N-gram-based features and applied the model to a series of sentiment classification tasks. The experimental results show that this method with sound symbolism significantly outperformed the baseline method without sound symbolism, which effectively demonstrates that a close relationship exists between sound symbolism and sentiment polarity.

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“…A portion of this paper has been presented at the 12th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2012) (Igarashi, Sasano, Takamura, and Okumura 2012).…”

Section: Acknowledgementmentioning

confidence: 44%

Use of Sound Symbolism in Sentiment Classification

Igarashi¹,

Sasano²,

Takamura³

et al. 2013

Journal of Natural Language Processing

Self Cite

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“…Emotional qualities are also discussed under "affect" (e.g., Schmidtke et al, 2014) and "affective iconicity" (e.g., Aryani et al, 2018). Nevertheless, we will use the term "(sentiment) polarity" in the present article, which is the conventional label in sentiment analysis research (Igarashi et al, 2013). 2 The investigation of the relationship between the sound structure and the emotional character of words (also referred to as "emotional sound symbolism"-see Adelman et al, 2018) is by no means new in the academic literature.…”

Section: Aims and Scope Of Present Studymentioning

confidence: 99%

“…Despite the widespread application of sentiment analysis in general (see Cambria et al, 2017; Lei & Liu, 2021), and its overall suitability for sound symbolic research, as it is able to link a binary semantic feature to a phonological property, academic articles are relatively few within a sound symbolic context. One prominent example is Igarashi et al (2013), who demonstrated that the semantic polarity of unknown onomatopoeic words in Japanese can be relatively accurately estimated by relying on N-gram features of phonetic representation and the consonant category features of phonetic symbols. Following Russell’s (1980) model of emotions, the term “valence” is also used in cognitive science and/or the psycholinguistic literature for positive/negative emotional properties (e.g., Auracher et al, 2010; Myers-Schulz et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Palatal is for happiness, plosive is for sadness: evidence for stochastic relationships between phoneme classes and sentiment polarity in Hungarian

Benczes

Kovàcs

2022

Lang. cogn.

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The past couple of decades have seen a substantial increase in linguistic research that highlights the non-arbitrariness of language, as manifested in motivated sound–meaning correspondences. Yet one of the challenges of such studies is that there is a relative paucity of data-driven analyses, especially in the case of languages other than English, such as Hungarian, even though the proportion of at least partially motivated words in Hungarian vocabulary is substantial. We address this gap by investigating the relationship between Hungarian phoneme classes and positive/negative sentiment based on 3,023 word forms retrieved from the Hungarian Sentiment Lexicon. Our results indicate that positive polarity word forms tend to contain more vowels, front vowels, continuants, fricatives, palatals, and sibilants. On the other hand, negative sentiment polarity words tend to have more rounded vowels, plosives, and dorsal consonants. While our analysis provides strong evidence for a set of non-arbitrary form–meaning relationships, effect sizes also reveal that such associations tend to be fairly weak tendencies, and therefore sentiment polarity cannot be derived from the relative frequencies of phoneme classes in a deterministic fashion.

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Sentiment Analysis in Social Networks

Pozzi

Fersini

Messina

et al. 2017

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Obrigado aos os meus pais, que sempre me apoiaram financeiramente e pessoalmente e sem os quais o meu percurso académico não era possível. Obrigado às minhas orientadoras, pelo apoio, pelas críticas constructivas que sempre me deram e por fomentarem o meu espiríto crítico, que foi uma mais valia ao longo do desenvolvimento deste trabalho. Finalmente, um obrigado aos amigos e ao resto da família que sempre me apoiaram ao longo deste semestre.

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The Use of Sound Symbolism in Sentiment Classification

Cited by 3 publications

References 2 publications

Use of Sound Symbolism in Sentiment Classification

Use of Sound Symbolism in Sentiment Classification

Palatal is for happiness, plosive is for sadness: evidence for stochastic relationships between phoneme classes and sentiment polarity in Hungarian

Sentiment Analysis in Social Networks

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