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Extraction method for network new words in microblogs and microblog emotion analysis method and system

A sentiment analysis and microblog technology, applied in the field of sentiment analysis for microblog data, can solve problems such as content information analysis and research, and achieve the effect of ensuring comprehensiveness and avoiding sparsity

Inactive Publication Date: 2014-02-05
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

At present, many researchers have been aware of this deficiency. For example, some researchers use vector representation methods to model diverse emotions for blogs, but their research is based on emoticons to construct vectors, and does not make full use of content information for analysis and research.

Method used

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  • Extraction method for network new words in microblogs and microblog emotion analysis method and system
  • Extraction method for network new words in microblogs and microblog emotion analysis method and system
  • Extraction method for network new words in microblogs and microblog emotion analysis method and system

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Embodiment Construction

[0055] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below through specific embodiments in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0056] In one embodiment of the present invention, a method for performing sentiment analysis on microblogs based on multi-dimensional sentiment vectors is provided. Before introducing the specific implementation of this method, at first introduce the definition of the microblog sentiment vector used hereinafter: for every blog post M, M=; Wherein Time (also can be abbreviated as T) represents blog post M Publish time; WordSet represents the keyword set of blog post M, WordSet={KeyWord 1 ,KeyWord 2 ,...,KeyWord K},KeyWord i (1≤i≤K) indicates the keywords of the blog post M after wo...

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Abstract

The invention discloses an emotion analysis method which aims at network microblogs. The emotion analysis method which aims at the problem that in the traditional emotion analysis, expression of diversification emotion of emergencies is not enough is based on a multi-dimensional vector representation model. The emotion analysis method comprises extracting emotional words in combination with a clinical psychological emotion detection table and initializing emotion analysis vectors; automatically finding the network new words in the microblogs through a method which is based on large-scale corpuses and statistics, automatically absorbing the network new words and emotional identifiers which can express emotion, continuously expanding the emotion vectors and setting a gradational structure of the emotion vectors; performing multi-dimensional emotion analysis and timing sequence analysis on the microblogs based on an existing vector model.

Description

technical field [0001] The invention belongs to the field of data mining, in particular to an emotion analysis method for microblog data. Background technique [0002] With the development of the Internet and communication technology, long texts represented by news reports are no longer the only way for people to obtain information sources. According to the survey of "2010 China Internet Public Opinion Analysis Report", the number of replies on Sina Weibo reached 2.6 million on the topic of "Tencent and 360 War" among the hot spots on the Internet in 2010, and the number of related comments on "Shanghai World Expo" also reached 1.06 million articles, far exceeding the number of news reports, communities, and forums. On July 23, 2011, the Wenzhou high-speed train incident received 2.82 million comments on Sina Weibo, and 6.84 million replies on Tencent Weibo. It can be seen that Weibo has become one of the important media for the dissemination of public opinion. Sentiment a...

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/36G06F40/30
Inventor 张鲁民贾焰周斌韩毅
Owner NAT UNIV OF DEFENSE TECH
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