Chinese microblog sentiment classification method and system based on Markov logic network

A technology of logic network and classification method, which is applied in the field of Chinese Weibo emotion classification method and system, and can solve the problems of low accuracy of classification results and ignoring category connections, etc.

Active Publication Date: 2015-07-22
TSINGHUA UNIV +1
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But these are separate classifications for each text, ignoring the connection between categories, and the accuracy of classification results is low

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  • Chinese microblog sentiment classification method and system based on Markov logic network
  • Chinese microblog sentiment classification method and system based on Markov logic network
  • Chinese microblog sentiment classification method and system based on Markov logic network

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Embodiment Construction

[0025] Embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0026] In describing the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", " The orientations or positional relationships indicated by "vertical", "horizontal", "top", "bottom", "inner" and "outer" are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and Simplified descriptions, rather than indicating or implying that the device or e...

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Abstract

The invention provides a Chinese microblog sentiment classification method and system based on a Markov logic network. The method comprises the steps that microblog data are obtained from the network; predicate and rules used for expressing sentiment classes are determined according to basic knowledge of the markov logic network, corresponding characteristic words are extracted from the microblog data according to a feeling and emotion dictionary, and a MLNs knowledge base is established according to the characteristic words; according to the MLNs knowledge base and predicate and rule training classifiers, sentiment classification is conducted on the microblog data, and Chinese microblog sentiment classification results are output. The method and system can accurately classify sentiments of microblog.

Description

technical field [0001] The invention relates to the fields of computer application technology and Internet technology, in particular to a Chinese microblog emotion classification method and system based on Markov logic network. Background technique [0002] With the rapid development of the Internet era and the rapid rise of social networks, more and more people began to use Weibo to express their opinions, and it has become a public opinion platform in people's life and work. According to the research report of China Internet Network Information Center, from April 20, 2014 to May 10, 2014, 40.7% of users logged in to Weibo every day, and 25.9% of users logged in more than twice a week. and user stickiness are relatively high. Users can freely express their opinions and express their emotions on Weibo. In view of the openness, popularity, strong interactivity, and fast dissemination of Weibo, the information on Weibo directly affects the people's livelihood, economy, and s...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 徐华
Owner TSINGHUA UNIV
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