Chinese semantic structure and finely segmented word bank combination based emotional analysis method
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A sentiment analysis and semantic structure technology, applied in the field of sentiment analysis to improve the matching rate of sentence patterns
Inactive Publication Date: 2015-11-25
ZHONGLIAN DATA TECH NANJING CO LTD
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[0007] The present invention aims to overcome the defects of existing text sentiment analysis methods, and the present ...
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Embodiment 1
[0100] Four sentences are used for analysis, in which sentence 1 has pattern-matching reversal words and negative words, sentence 2 is a normal statement sentence, sentence 3 has no pattern-matching reversal words and negative words, and sentence 4 contains comparative words, independent negative words and multiple sentence terminator.
[0101] 1. However, after completing the mortgage of the Jindiyuan plot, Shanghai Pudong Development Bank did not release the loan as scheduled, and Song Yuangang’s business was also drawn out by financial institutions.
[0102] 2. The solution adopts the system docking of China Mobile and Shanghai Pudong Development Bank, and uses their respective powerful electronic information processing methods to realize online processing of the entire business process and improve business processing efficiency.
[0103] 3. A number of important economic data in China have been released intensively today, but all the data basically show that the economy ha...
Embodiment 2
[0129] The actual running demo emotion program starts, reads into the dictionary, and waits for the call to analyze the text:
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Abstract
The invention relates to a Chinese semantic structure and finely segmented word bank combination based emotional analysis method. The emotional analysis method comprises: 1) inputting a to-be-tested text at least consisting of a statement into a computer system; 2) performing word segmentation processing on each statement of the to-be-tested text and marking emotional words and other words in each statement; 3) performing matching on the to-be-tested text subjected to word segmentation processing to obtain a semantic mode of each semantic unit; and 4) correspondingly converting the semantic mode of each semantic unit of the to-be-tested text to an emotional value, and performing accumulation on the emotional values of all the semantic units in the text to obtain an emotional value of the to-be-tested text. According to the method, the emotional words, connective words, transitional words and the like are segmented from a non-structured text; according to actual arrangement of the words, sentence patterns are matched to obtain the emotional values of the semantic units; and the emotional value of a sentence is comprehensively calculated according to the emotional values of the semantic units to achieve the purpose of quantizing the emotional value of a financial news comment sentence.
Description
technical field [0001] The invention relates to a sentiment analysis method based on the combination of Chinese semantic structure and subdivision thesaurus, in particular to a sentiment analysis method applied to sentence-level text of Chinese financial news comments, which belongs to the intersection of computer science and technology, finance and linguistics Subject. Background technique [0002] Natural language processing was proposed by Turing in 1950, and it has been developed for more than 60 years. Text sentiment analysis is an emerging research direction in natural language processing in the past decade. Text sentiment analysis is the analysis, processing, induction and reasoning of subjective texts with emotional color, so as to obtain the automatic recognition and judgment of the positive or negative or positive or negative meaning of the text. The initial sentiment analysis comes from the analysis of words with emotional color, such as various commendatory wor...
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