Word semantic tendency prediction method based on universal knowledge network

Abstract

The invention discloses a word semantic tendency prediction method based on a universal knowledge network. The method comprises the following steps of: (1) judging whether an unknown word exists in a sentiment word dictionary, if so, returning the polarity of the unknown word, and otherwise, executing the step (2); (2) selecting a positive reference word set and a negative reference word set; (3) calculating the tightness degree of the unknown word and the positive reference word set; (4) calculating the tightness degree of the unknown word and the negative reference word set; (5) calculating difference between the tightness degree of the unknown word and the positive reference word set and the tightness degree of the unknown word and the negative reference word set; and (6) according to the difference in the step (5), selecting a threshold space and determining the polarity of the unknown word. The word semantic tendency prediction method based on the universal knowledge network has the advantages that the semantic similarity of words is taken into consideration, the association of the words is combined, area threshold judgment is performed, the words are prevented from being endowed with wrong sentiment tendency, and the accuracy of semantic tendency judgment is improved.

Description

Technical field [0001] The invention relates to a word semantic tendency prediction method, in particular to a word semantic tendency prediction method based on a general knowledge network, belonging to the technical field of computer information data processing. Background technique [0002] The rapid development and widespread popularity of the Internet have changed people's lifestyles to a large extent. People can not only receive information passively, but also interact with the outside world. The Internet has gradually become an interactive medium, and people can post comments on various things through BBS, Blogs and other network media. Data from the "Statistical Report on the Development of the Internet in China" released by the China Internet Information Center in July 2010 shows that the usage rates of blog applications and forums / BBS are all at the forefront of network applications. The rapid growth of these opinions and information has provided researchers with a wid...

AI Technical Summary

Problems solved by technology

[0007] These two types of methods rely on polarity dictionaries when analyzing text orientation. Therefore, the quality of polarity dictionaries directly affects the correctness of emotional orientation judgments. Currently, polarity dictionaries are constructed manually. Heavy workload and incomplete polarity dictionary

Due to the limited scope of polarity dictionaries and the difficulty of timely updating, the existing polarity dictionaries are only suitable for sentiment analysis of standardized common words, and cannot be used for new words, certain specific words or new semantics. Unable to adapt to the rapid development and change of information and the extensive needs of word analysis

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