课题基金 / 基金详情

String-based and Unification-based Methodology for Text mining and Processing

String-based and Unification-based Methodology for Text mining and Processing
基于字符串和统一的文本挖掘和处理方法
批准号:
262059-2013
负责人:
Keselj, Vlado
金额:
$1.46万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2013
资助国家:
加拿大
项目状态:
已结题
起止时间:
2013-01-01 至 2014-12-31

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中文摘要
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英文摘要
The economic and social impact of information technology in the current time is probably most direct and significant in the area of the so-called social media and Internet in a wider sense. The ratio of people contributing accessible content to the Web has gone from a minor fraction to a large portion, likely a majority. It has been established that this flood of "big data" on one side can increase our knowledge and efficiency, leading to a greater social benefit, but on another side we are frequently lost and drowning in irrelevant information while missing relevant information. The proliferation of mobile technology, which is available anywhere but also limited in screen size, user input rate and processing power, has only put more demands on more precise information retrieval, querying, and channelling relevant information.
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