Sentiment Analysis of Reader Reviews on the English Version of To Live Featuring Text-Emoticon Blending

DOI: https://doi.org/10.62517/jnme.202510308

Author(s)

Zixuan Jiang, Xiaohong Li

Affiliation(s)

College of Foreign Languages, North China University of Science and Technology, Caofeidian, Tangshan, Hebei, China

Abstract

Yu Hua's novel To Live portrays the transformation of Chinese society through the tragic life of its protagonist Fugui. Its English translation has sparked extensive discussions overseas, where reader comments not only directly reflect emotions but also contain profound insights into cross-cultural interpretation. To address the multilingual and multimodal characteristics of these international reader reviews, this study integrates textual content with emoticons, employing Python-based word frequency and word cloud analysis to conduct sentiment analysis on Amazon reviews of the English version of To Live. By examining the layered and multidimensional expressions of emotions through vocabulary and emoticon usage, this research provides a nuanced interpretation of readers' emotional tendencies.

Keywords

To Live; Sentiment Analysis; Word Frequency Statistics; Emoticons

References

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