Chinese emotion word polarity intensity quantification method oriented to rank of words

A technology of emotional polarity and emotional words, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as low accuracy

Inactive Publication Date: 2014-06-04
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0006] The purpose of the present invention is to overcome the defect existing in the prior art, in order to effectively solve the problem that the accuracy rate is low when the Chine...

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  • Chinese emotion word polarity intensity quantification method oriented to rank of words
  • Chinese emotion word polarity intensity quantification method oriented to rank of words
  • Chinese emotion word polarity intensity quantification method oriented to rank of words

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Embodiment

[0066] Suppose you want to compute a measure of the polarity strength of the sentiment word "pretty". First count the weight of each word in the sentiment dictionary as a commendatory word and a derogatory word. After calculation, P 漂 =0.760, N 漂 =0.412.

[0067] Because the existing method fully utilizes the statistical value P when calculating the emotional tendency value of each word ci , N ci calculation, without taking into account error correction. In view of the fact that the emotional tendency value of the word satisfies the Gaussian distribution, after calculation, it is obtained that S 漂 , S 亮 The value of , the program randomly selects the value according to the formula, and its value is invisible.

[0068] In order to calculate the polarity strength measure value of each basic emotion word, adopt the method of average word in the word, after calculation, S 漂亮 =0.675.

[0069] The polarity strength measure of the basic sentiment word "beautiful" is calculate...

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Abstract

The invention discloses a Chinese emotion word polarity intensity quantification method oriented to rank of words, and belongs to the field of processing of natural language of computers. Firstly, an emotional tendency value of each word in an emotion dictionary is obtained, then, according to the emotional tendency values of the words, polarity intensity measurement values of measured basic emotion words are obtained, and finally, according to the polarity intensity measurement values of the basic emotion words, polarity intensity measurement values of compound emotion words are obtained. Compared with the prior art, due to the fact that the Gaussian distribution function is adopted to correct emotional tendency value errors of the words obtained through statistics, the accuracy rate of the polarity intensity measurement of the basic emotion words is substantially improved. The compound emotion words are classified in detail on the basis, the computational formulas obtained through reverse derivation of the Sigmoid function are designed respectively, and the polarity intensity measurement accuracy rate of the compound emotion words is substantially improved. Besides, the Sim(A,B) function is introduced, adverbs are automatically classified through the HowNet, manual labeling workloads are reduced, and working efficiency is improved.

Description

technical field [0001] The invention belongs to the field of computer natural language processing, and relates to a method for quantifying the polarity strength of Chinese emotional words aimed at word levels and applied in the emotional analysis of Chinese texts. Background technique [0002] With the continuous advancement of Internet technology, especially the gradual popularization of Web2.0 technology, the network has shown a powerful data processing capability, and the network society has become complicated. On major websites such as Baidu Tieba and Tianya Forum, you can see a large number of comments and opinions of netizens on news, products, services, etc. In this context, research on emotional tendency analysis based on network texts has emerged. It is of great significance in fields such as retrieval, e-commerce, and network public opinion early warning. [0003] At present, the research objects of text sentiment analysis are mainly divided into three types: word...

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Application Information

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IPC IPC(8): G06F17/27G06F17/30
Inventor 史树敏李瑞静黄河燕
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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