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- W3152890329 abstract "With the development of social networks, Social Network Services (SNS) has been populated. And people create newly-coined words and emoticons. Accordingly, the newly-coined word and emoticon of SNS show the social phenomenon of modern society. For social opinion analysis with SNS newly-coined words and emoticons, additional and continued sentiment proactive manual measures are required with a lot of time and money. It is necessary to make an objective decision when classifying the sentiment dictionary. This paper proposes a method for automatically constructing a newly-coined word and emoticon sentiment dictionary by extracting newly-coined words and emoticons from SNS reviews. In addition, the sentiment sentence is determined from the collected SNS reviews to automatically determine the polarity and intensity of newly-coined words and emoticons. Sentiment sentences contain newly-coined words and emoticons with strong polarity intensity, and mean sentences with strong polarity. The automatically constructed newly-coined word and emoticon sentiment dictionary proposed in this paper showed similar analysis accuracy compared to the existing manual construction method. As a result, this study can extract newly-coined words and emoticons in real time from trend-sensitive SNS and apply them to the sentiment dictionary to improve analysis accuracy." @default.
- W3152890329 created "2021-04-26" @default.
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- W3152890329 date "2021-01-01" @default.
- W3152890329 modified "2023-09-26" @default.
- W3152890329 title "Sentiment Sentence Construction Algorithm of Newly-Coined Words and Emoticons Dictionary for Social Data Opinion Analysis" @default.
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- W3152890329 doi "https://doi.org/10.1007/978-3-030-73100-7_74" @default.
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