- 专利标题: Method and system to test a document collection trained to identify sentiments
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申请号: US16557691申请日: 2019-08-30
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公开(公告)号: US11568311B2公开(公告)日: 2023-01-31
- 发明人: Alkis Papadopoullos , Jocelyn Desbiens
- 申请人: Alkis Papadopoullos , Jocelyn Desbiens
- 申请人地址: CA Outremont; CA Saint-Lambert
- 专利权人: Alkis Papadopoullos,Jocelyn Desbiens
- 当前专利权人: Alkis Papadopoullos,Jocelyn Desbiens
- 当前专利权人地址: CA Outremont; CA Saint-Lambert
- 代理机构: Brouillette Legal Inc.
- 代理商 Robert Brouillette
- 主分类号: G06N20/00
- IPC分类号: G06N20/00 ; G06N7/02 ; G06F40/30 ; G06N5/02
摘要:
The present system and method for analysing sentiment is a response to the growing availability of informal, opinionated texts like blog posts and product review websites, a field of Sentiment Analysis has sprung up in the past decade to address the interrogation about how people feel about certain topics. Sentiment Analysis expands the traditional fact-based text analysis to enable opinion-oriented information systems. The present system and method for analysing sentiment presents a novel learning system and method for classifying text as positive, negative, or objective. It is mainly based on fuzzy set theory and clustering.
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