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Sentilo: Frame-Based Sentiment Analysis
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AI
DOI：10.1007/s12559-014-9302-z.png)
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摘要
En 中文
Sentilo is an unsupervised, domain-independent system that performs sentiment analysis by hybridizing natural language processing techniques and semantic Web technologies. Given a sentence expressing an opinion, Sentilo recognizes its holder, detects the topics and subtopics that it targets, links them to relevant situations and events referred to by it and evaluates the sentiment expressed on each topic/subtopic. Sentilo relies on a novel lexical resource, which enables a proper propagation of sentiment scores from topics to subtopics, and on a formal model expressing the semantics of opinion sentences. Sentilo provides its output as a RDF graph, and whenever possible it resolves holders' and topics' identity on Linked Data.
Keyword:
Opinion mining
Sentic computing
Sentiment analysis
Conceptual frames
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.3
论文数:
1.6K
被引数:
3.6K
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引用论文
Impaired perceptual learning in a mouse model of Fragile X syndrome is mediated by parvalbumin neuron dysfunction and is reversible脆性X综合征小鼠模型的感知学习受损是由小白蛋白神经元功能障碍介导的，并且是可逆的
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SEMANTIC WEBIF2.9
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