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Multi-faceted exploratory analysis for large noisy text datasets

Multi-faceted exploratory analysis for large noisy text datasets
针对大型噪声文本数据集的多方面探索性分析
批准号:
434503-2012
负责人:
Milios, Evangelos
金额:
$10.6万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2014
资助国家:
加拿大
项目状态:
已结题
起止时间:
2014-01-01 至 2015-12-31

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中文摘要
翻译
在大量文本中查找信息的方法已经建立,并且在熟悉的Web搜索引擎(如b谷歌)的后台运行。这些方法使任何人都能大海捞针。下一个挑战是找到一种方法,帮助特定领域的专家和分析师挖掘隐藏在大量文本中的隐性知识;不仅要找到“针”,还要理解它与其他复杂问题的关系,在更高的层面上理解数据,并揭示他们应该首先寻找哪些“针”。
英文摘要
Methods for finding information in massive amounts of text are well established, and run in the background of familiar Web search engines such as Google. These methods enable anyone to find the needle in the haystack. The next challenge is to find a way to help experts and analysts in a given field to tap the tacit knowledge hidden in masses of text; not just to find the needle, but to understand how it relates to other complex issues, to make sense of the data on a higher level, and to reveal what needles they should be looking for in the first place.
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Semantic Representations for Interactive Text Mining
  • 批准号:
    RGPIN-2020-04834
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.55万
  • 财政年份:
    2022
  • 负责人:
    Milios, Evangelos
  • 依托单位:
Semantic Representations for Interactive Text Mining
  • 批准号:
    RGPIN-2020-04834
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.55万
  • 财政年份:
    2021
  • 负责人:
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  • 依托单位:
How is Canadians' mental health affected by COVID-19: visual analytics of social media text
  • 批准号:
    554657-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $3.64万
  • 财政年份:
    2020
  • 负责人:
    Milios, Evangelos
  • 依托单位:
Semantic Representations for Interactive Text Mining
  • 批准号:
    RGPIN-2020-04834
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.55万
  • 财政年份:
    2020
  • 负责人:
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  • 依托单位:
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