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Using normal dictionaries to extract multiple semantic relationships

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Using normal dictionaries to extract multiple semantic relationships

Content Provider	IET Digital Library
Author	Liang, Li Tian, Fang
Abstract	This article proposes a rule-based semantic relationship extraction method for Chinese sentiment lexicon to solve the problem that words in the sentiment dictionary cannot be updated in time, and expand the lexicon and the semantic relationship in the dictionary. Using the massive information on the Internet, the modern Chinese dictionary and sentiment dictionary and other resources, based on the interpretation of words and the characteristics of semantic relationships between words, sentiment lexicon are automatically extracted and their semantic relationships are annotated. At the same time, the semantic relationship extraction rules are defined, and the sentiment lexicon with synonymous relationship and antisense relationship is extracted recursively. The extraction rules and algorithms of emotional intensity relationship are also improved, and the lexicon is extracted according to the level of degree adverbs and their emotional weights are calculated. Compare the extraction effect before and after the improved algorithm and the change of the number of lexicon extracted after increasing the corpus. The experimental results show the effectiveness and accuracy of the proposed method.
Starting Page	595
Ending Page	600
Page Count	6
Volume Number	2020
e-ISSN	20513305
Issue Number	Issue 13, Jul (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/joe/2020/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/joe.2019.1212
Journal	The Journal of Engineering
Publisher	The Institution of Engineering and Technology
Publisher Date	2020-01-13
Access Restriction	Open
Rights License	Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Subject Keyword	Antisense Relationship Chinese Sentiment Lexicon Dictionaries Document Processing Technique Emotional Intensity Relationship Extraction Effect Internet Knowledge Engineering Technique Modern Chinese Dictionary Multiple Semantic Relationships Natural Language Processing Normal Dictionaries Rule-based Semantic Relationship Extraction Method Semantic Relationship Extraction Rules Sentiment Dictionary Synonymous Relationship Text Analysis
Content Type	Text
Resource Type	Article

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