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Determining emotions within text on popular social networking sites.

Determining emotions within text on popular social networking sites.
确定流行社交网站上文本中的情感。
批准号:
452758-2013
负责人:
Cercone, Nick
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
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

项目摘要

项目成果

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中文摘要
翻译
在确定用户在社交网络上生成的内容中的情绪和情绪方面,Cluep API一直被发现实现了75%-80%的人类表现(基于Robert Plutchik的8类情绪分类)。Cluep发现,多个行业的主要领导者对其原料药的需求越来越大。对于许多品牌来说,曾经基本的关键字驱动的品牌监控已经足够了,而今天,对通过有意义的社交智能进行真正洞察的需求正在呈指数级增长。
英文摘要
The Cluep API has consistently been found to achieve anywhere from 75%-80% of human performance for determining both sentiment as well as emotion within user generated content on the social web (based on Robert Plutchik's 8-category classification of emotions). Cluep is seeing an increasingly demand of it's API amongst major leaders in multiple industries. Where once basic keyword-driven brand monitoring sufficed for many brands, today the demand for true insight through meaningful social intelligence is growing exponentially.
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    461882-2013
  • 项目类别:
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  • 资助金额:
    $2.91万
  • 财政年份:
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  • 批准号:
    461932-2013
  • 项目类别:
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    $3.82万
  • 财政年份:
    2015
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 负责人:
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