SNS상의 비정형 빅데이터로부터 감성정보 추출 기법

Title
SNS상의 비정형 빅데이터로부터 감성정보 추출 기법
Other Titles
An Extraction Method of Sentiment Infromation from Unstructed Big Data on SNS
Author(s)
안병철하일규백봉현
Keywords
Big Data; Sentiment Analysis; SNS; Unstructed data analysis
Issue Date
201407
Publisher
한국멀티미디어학회
Citation
멀티미디어학회논문지, v.17, no.6, pp.671 - 680
Abstract
Recently, with the remarkable increase of social network services, it is necessary to extract interestinginformation from lots of data about various individual opinions and preferences on SNS(Social NetworkService). The sentiment information can be applied to various fields of society such as politics, publicopinions, economics, personal services and entertainments. To extract sentiment information, it isnecessary to use processing techniques that store a large amount of SNS data, extract meaningful datafrom them, and search the sentiment information. This paper proposes an efficient method to extractsentiment information from various unstructured big data on social networks using HDFS(HadoopDistributed File System) platform and MapReduce functions. In experiments, the proposed method collectsand stacks data steadily as the number of data is increased. When the proposed functions are appliedto sentiment analysis, the system keeps load balancing and the analysis results are very close to theresults of manual work.
URI
http://hdl.handle.net/YU.REPOSITORY/31394http://dx.doi.org/10.9717/kmms.2014.17.6.671
ISSN
1229-7771
Appears in Collections:
공과대학 > 컴퓨터공학과 > Articles
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