Measuring peculiarity of text using relation between words on the web
|Measuring peculiarity of text using relation between words on the web|
|Author(s)||Nakabayashi T., Yumoto T., Nii M., Takahashi Y., Sumiya K.|
|Published in||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Keyword(s)||Unknown (Extra: Characteristic words, Wikipedia, Digital libraries)|
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Measuring peculiarity of text using relation between words on the web is a 2010 conference paper written in English by Nakabayashi T., Yumoto T., Nii M., Takahashi Y., Sumiya K. and published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
We define the peculiarity of text as a metric of information credibility. Higher peculiarity means lower credibility. We extract the theme word and the characteristic words from text and check whether there is a subject-description relation between them. The peculiarity is defined using the ratio of the subject-description relation between a theme word and characteristic words. We evaluate the extent to which peculiarity can be used to judge by classifying text from Wikipedia and Uncyclopedia in terms of the peculiarity.
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