Determining emotions within text on popular social networking sites.
Determining emotions within text on popular social networking sites.
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
中文摘要
Cluep API一直被发现在判断社交网络上用户生成内容中的情绪和情绪方面达到人类表现的75%-80%(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API的需求日益增长。曾经,对许多品牌来说,基本的关键词驱动的品牌监控已经足够了,而今天,通过有意义的社交情报获得真正洞察力的需求正呈指数级增长。
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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