Word Semantic Orientation Prediction Method Based on General 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 method for predicting the semantic tendency of words, in particular to a method for predicting the semantic tendency of words based on a general knowledge network, and belongs to the technical field of computer information data processing. Background technique [0002] The rapid development and widespread popularization of the Internet have changed people's way of life to a great 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 network media such as BBS and Blogs. According to the "Statistical Report on Internet Development in China" released by the China Internet Network Information Center in July 2010, the utilization rates of blog applications and forums / BBS are at the forefront of network applications. The rapid growth of these views and information provides ...

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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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