Characteristics and Categorizing of Domestic Major Convenience Store Brands by Analyzing Contents in Social Media

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  • ソーシャルメディアのコンテンツから分析したコンビニエンスストアの特徴と分類
  • ソーシャル メディア ノ コンテンツ カラ ブンセキ シタ コンビニエンスストア ノ トクチョウ ト ブンルイ

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Abstract

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The purpose of this paper is to show some characteristics and categorizing about domestic major convenience store brands by analyzing contents in social media which are a kind of big data in the Internet. This paper acquired contents in social media by using some free analysis tools mainly. This paper also carried out various text mining methods for analyzing these contents in social media by using some free analysis tools. It is another purpose of this paper to inspect whether we can execute various text mining methods to big data in the Internet by using free analysis tools. Specifically, at first this paper executed the frequency analysis to the morphemes included in contents in social media and made word clouds from the result of the frequency analysis. Then, this paper made a term-document matrix and applied correspondence analysis to the term-document matrix. Furthermore, this paper analyzed N-gram from that data and made N-gram graphs. From those results, this paper shows some characteristics and categorizing of each convenience store brands.

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  • Wako Keizai

    Wako Keizai 50 (1), 1-17, 2017-12

    和光大学社会経済研究所

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