A method and device for extracting and modeling behavioral semantic relations of emotional words
A semantic relationship and modeling method technology, applied in the field of behavioral semantic relationship extraction modeling method and device, can solve the lack of semantic similarity relationship extraction in emotional dictionaries, cannot update semantic relationships in time and quickly, and cannot solve unregistered words Impact and other issues
Active Publication Date: 2021-09-07
QINGHAI UNIVERSITY
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But none of them can solve the impact of unregistered words on affective computing
[0004] From the above research, it can be seen that the existing emotional dictionaries are mainly edited manually or semi-automatically, and cannot update new semantic relations in a timely and rapid manner. The emotional dictionaries lack the extraction of semantic similarity relations.
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[0053] The principles and features of the present invention will be described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.
[0054] With the rapid development of computer and network technology, the Internet has become a platform for people to express their opinions and exchange opinions. How to extract valuable information from massive texts rich in emotional information has become the focus of current research. It is necessary to use computers to understand human natural language and process massive texts with automatic analysis methods, which promotes the research and development of text sentiment analysis. Emotional semantics dictionary is the basis of text sentiment analysis research, which is helpful to basic technologies of natural language processing such as word segmentation, named entity recognition, word sense disambiguatio...
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The present invention provides a method for extracting and modeling the behavioral semantic relationship of emotional words, which includes: acquiring first corpus information, extracting vocabulary in the first corpus information according to the acquired synonymous relationship information, and generating a first list of synonyms ; Carry out part-of-speech analysis to the vocabulary in the first synonym list according to the part-of-speech tagging rule information obtained, generate the second synonym list with part-of-speech tagging; judge whether the second synonym list contains verb information; if so, then extract the verb information and generate Behavioral word list; analyze the semantic relationship between words in the behavioral word list to generate behavioral semantic relationship information; according to the behavioral semantic relationship information, divide the behavioral semantic relationship emotional strength of the words in the behavioral word list to generate the semantic strength of emotional words relationship information.
Description
technical field [0001] The invention relates to the technical field of semantic relationship extraction, in particular to a method and device for extracting and modeling the behavioral semantic relationship of emotional words. Background technique [0002] Semantic relations are an important part of the emotional semantic lexicon. Semantic dictionaries store the relationship between words in a structured way, and generally use different tags to store different semantic relations between words, such as hyponymy, synonymous, etc. The existing influential sentiment dictionaries mainly include WordNet and Hownet, and these two dictionaries are often used as the basic dictionaries for constructing other sentiment dictionaries. WordNet is a very influential dictionary. It is an English dictionary based on cognitive linguistics designed by psychologists, linguists and software engineers at Princeton University. According to the meaning of words, nouns, verbs, adjectives, and adve...
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IPC IPC(8): G06F40/30
CPCG06F40/30
Inventor 田芳梁丽
Owner QINGHAI UNIVERSITY