Abstract—We propose to simultaneously identify opinion targets and opinion-bearing words based on multi-features in Chinese micro-blog post, and decompose our task into three phases: (1) construct opinion-bearing words dictionary and identify opinion-bearing word in a sentence from Chinese micro-blog; (2) design multiple features related to opinion target identification, containing Token, POS, WD, DDR; (3) design three kinds of different feature templates to identify feature-opinion pairs <opinion target, opinion-bearing word> in Chinese micro-blog post. The experiments show that our approach is very effective and get better performance than the baselines. Keywords—Opinion mining, micro-blog, sentiment polarity, sentiment analysis I
[[abstract]]Articles posted on a forum often contain new Internet terms related to opinion elements....
In recent years, mining micro-blog becomes a hot research field, especially it may create commercial...
Blogs are mainly posted in languages where users may not always use accurate and exact grammatically...
International audienceIn this paper, we present a proposed system designed for sentiment detection f...
Sentiment analysis of microblog texts has drawn lots of attention in both the academic and industria...
Micro-blog has been increasingly used for the public to express their opinions, and for organization...
Micro-blog has been increasingly used for the public to express their opinions, and for organization...
Micro-blog has been increasingly used for the public to express their opinions, and for organisation...
Microblog messages pose severe challenges for current sentiment analysis techniques due to some inhe...
Microblog messages pose severe challenges for current sentiment analysis techniques due to some inhe...
[[abstract]]Articles posted on a forum often contain new Internet words related to opinion elements ...
Abstract: Opinion mining and sentiment analysis is a fast growing topic with various world applicati...
The boom of product review websites, blogs and forums on the web has attracted many research efforts...
New words and new senses are produced quickly and are used widely in micro blogs, so to automaticall...
Sentiment analysis of micro-blog topic aims to explore people’s attitudes towards a topic or event o...
[[abstract]]Articles posted on a forum often contain new Internet terms related to opinion elements....
In recent years, mining micro-blog becomes a hot research field, especially it may create commercial...
Blogs are mainly posted in languages where users may not always use accurate and exact grammatically...
International audienceIn this paper, we present a proposed system designed for sentiment detection f...
Sentiment analysis of microblog texts has drawn lots of attention in both the academic and industria...
Micro-blog has been increasingly used for the public to express their opinions, and for organization...
Micro-blog has been increasingly used for the public to express their opinions, and for organization...
Micro-blog has been increasingly used for the public to express their opinions, and for organisation...
Microblog messages pose severe challenges for current sentiment analysis techniques due to some inhe...
Microblog messages pose severe challenges for current sentiment analysis techniques due to some inhe...
[[abstract]]Articles posted on a forum often contain new Internet words related to opinion elements ...
Abstract: Opinion mining and sentiment analysis is a fast growing topic with various world applicati...
The boom of product review websites, blogs and forums on the web has attracted many research efforts...
New words and new senses are produced quickly and are used widely in micro blogs, so to automaticall...
Sentiment analysis of micro-blog topic aims to explore people’s attitudes towards a topic or event o...
[[abstract]]Articles posted on a forum often contain new Internet terms related to opinion elements....
In recent years, mining micro-blog becomes a hot research field, especially it may create commercial...
Blogs are mainly posted in languages where users may not always use accurate and exact grammatically...