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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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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.
emotional information analysis strategy;opinion mining;antonym;adverb;different weight;SEIAS;
 Cited by
SNS 데이터 분석을 기반으로 인공지능에 대한 인식 변화 비교 분석,윤유동;양영욱;임희석;

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