Paper
8 December 2023 Bilingual short texts incorporating emojis sentiment calculation
Tao Yang, Ziyu Liu, Hongli Deng, Xiaomei Tang
Author Affiliations +
Proceedings Volume 12943, International Workshop on Signal Processing and Machine Learning (WSPML 2023); 1294304 (2023) https://doi.org/10.1117/12.3012933
Event: International Workshop on Signal Processing and Machine Learning (WSPML 2023), 2023, Hangzhou, ZJ, China
Abstract
The text posted by users often consists of a mixture of Chinese, English, and emojis, rather than a single language corpus. However, traditional sentiment analysis models have not effectively solved the problem of sentiment calculation in bilingual text with emojis, or even the problem of sentiment fluctuations between different modules. In response to these issues, this paper proposes a centrifugal fusion method to accomplish sentiment fusion of mixed-language phrases, and a centrifugal factor to address sentiment fluctuation in bilingual short text incorporating emojis. The bilingual sentiment analysis experiment, incorporating emojis into the Weibo dataset, yielded promising results.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Tao Yang, Ziyu Liu, Hongli Deng, and Xiaomei Tang "Bilingual short texts incorporating emojis sentiment calculation", Proc. SPIE 12943, International Workshop on Signal Processing and Machine Learning (WSPML 2023), 1294304 (8 December 2023); https://doi.org/10.1117/12.3012933
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KEYWORDS
Emotion

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