An Analysis Method of Sentimental Polarity of Sentence Comment Considering Modifiers
Pages 306 - 311
Abstract
In view of the imprecise calculation of sentimental polarity in User-Generated Content, a QCNSP model considering the modifier's sentimental polarity calculation is proposed. Based on the two dimensions of sentimental polarity direction and sentimental polarity intensity, the QCNSP model first determines the sentimental polarity direction of the user expression in the sentences from sentiment words, then by calculating the degree of the influence of adverbs and negation words on sentimental polarity, and according to the dependency syntax theory, it is to get the degree of deviation of sentiment tendency, thus to describe users’ sentiments in the comment User-Generated Content in more details. In order to eliminate the problem of excessively large and incomparable sentiment value changes caused by different users’ habits of language usage, the range of sentimental polarity values of sentiment phrases was normalized to [-5, 5]. The experimental results show that the sentimental polarity value calculated by the QCNSP model can reflect users’ sentiments more precisely, the value range is more reasonable, and the time efficiency is increased by about 20% -30% compared with the simple calculation method on sentiment words frequency.
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- An Analysis Method of Sentimental Polarity of Sentence Comment Considering Modifiers
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December 2023
1132 pages
ISBN:9798400716157
DOI:10.1145/3660043
Copyright © 2023 ACM.
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Association for Computing Machinery
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Published: 30 May 2024
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ICIEAI 2023
ICIEAI 2023: 2023 International Conference on Information Education and Artificial Intelligence
December 22 - 24, 2023
Xiamen, China
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