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Erschienen in:
2018 | OriginalPaper | Buchkapitel
An Efficient Clustering Technique for Unstructured Data Utilizing Latent Semantic Analysis
verfasst von : Yonghoon Kim, Mokdong Chung
Erschienen in: Advances in Computer Science and Ubiquitous Computing
Verlag: Springer Singapore
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Abstract
Recently, data analysis has been actively conducting. In particular, meaning in a sentence is determined by using the frequency of unstructured data such as SNS and opinions which are analyzed on a specific topic based on positive or negative words. However, this analysis involving only a simple word frequency or a specific word which includes unnecessary data. In this paper, we use the analytic technique of the referred documents, exponentialize the frequency of words. We integrate the frequency of words in exponentiated sentences with each other, and finally implement an analytical model that can quantitatively compare sentences.