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A Design of SNS Emotional Information Analysis Strategy based on Opinion Mining
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 Title & Authors
A Design of SNS Emotional Information Analysis Strategy based on Opinion Mining
Jeong, Eun-Hee; Lee, Byung-Kwan;
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 Abstract
The opinion mining technique which analogize significant information from SNS message is increasingly important because opinions communicated through SNS are increasing. This paper propose SEIAS(SNS Emotional Information Analysis Strategy) based on opinion mining that analogize emotional information from SNS setting a different weight according to position of antonym and adverb. Firstly, the proposed SEIAS constructs a emotion dictionary for opinion mining analysis, Secondly, it collects SNS data on real time, compare it with emotion dictionary and calculates opinion value of SNS data. Specially, it increases the precision of opinion analysis result compared to the existing SO-PMI because it sets up the different value according to the position of antonym and adverb when it calculates the opinion value of data.
 Keywords
emotional information analysis strategy;opinion mining;antonym;adverb;different weight;SEIAS;
 Language
Korean
 Cited by
1.
Developing a hybrid collaborative filtering recommendation system with opinion mining on purchase review, Journal of Information Science, 2017, 016555151769295  crossref(new windwow)
2.
A SNS Data-driven Comparative Analysis on Changes of Attitudes toward Artificial Intelligence, Journal of Digital Convergence, 2016, 14, 12, 173  crossref(new windwow)
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