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Users sometimes cannot remember the exact words of desktop filenames and meet trouble in re-finding these desktop files. In this condition the existing keyword based desktop search tools cannot work well. In this paper, we first analyze the synonym relationship among the words utilized in naming personal desktop files
. Through quantifiable index analysis, statistical language model analysis, automatic keywords extraction and application of other technologies and theoretical models, the three progressive tiers, namely non-semantic tier, semantic tier and relevant behavior tier, were induced, thus the Three-tier Criteria Based Essay Rating
This paper aims to analyze affective expressions in articles of popular science by text mining with the keywords “Cancer” and “Immunity”. This study selects 145 articles from the website of a magazine and segmented them into 410,919 terms. And the study uses an automatic system to classify the terms into vocabulary
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.