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Conference Papers Year : 2015

Text Data Mining of English Interviews

Hiromi Ban
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Haruhiko Kimura
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Takashi Oyabu
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Jun Minagawa
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An “interview” is the technique to gain the particular data effectively which the interviewers want to know through the conversation. In this paper, we metrically analyzed some English interviews: Larry King Live on CNN, and compared these with English news (CNN Live Today) and the inaugural addresses of the three U.S. Presidents. In short, frequency characteristics of character- and word-appearance were investigated using a program written in C++. These characteristics were approximated by an exponential function. Furthermore, we calculated the percentage of American basic vocabulary to obtain the difficulty-level as well as the K-characteristic of each material.
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Dates and versions

hal-01444491 , version 1 (24-01-2017)





Hiromi Ban, Haruhiko Kimura, Takashi Oyabu, Jun Minagawa. Text Data Mining of English Interviews. 14th Computer Information Systems and Industrial Management (CISIM), Sep 2015, Warsaw, Poland. pp.489-499, ⟨10.1007/978-3-319-24369-6_40⟩. ⟨hal-01444491⟩
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