Method and system for acquiring statement emotion tendency
A technology of emotional orientation and sentences, which is applied in the field of text analysis, can solve the problems of low accuracy of emotional orientation analysis results and the inability to obtain the semantic relationship of sentences, etc., and achieve the effect of reducing the preparation cost in the early stage, accurate results, and deep analysis
Inactive Publication Date: 2015-07-29
INST OF ACOUSTICS CHINESE ACAD OF SCI
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Problems solved by technology
Using the traditional subject-predicate-object grammatical structure theory in the rule method cannot obtain the accurate semantic relationship in the sentence, so it can only obtain the sentimental orientation analysis results with low accuracy
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[0064] The methods and steps of the present invention will be described below in conjunction with the accompanying drawings, specific implementation examples and specific implementation methods.
[0065] The following is a specific embodiment of the present invention, which is a section of commentary text published by a certain netizen on the Internet Auto Forum:
[0066] "Some people are skeptical about the safety of Chery A5. I checked it today, and the safety of Chery A5 is absolutely trustworthy. Chery A5's front wheel ventilated disc and rear wheel solid disc brakes have fast heat dissipation, light weight and excellent structure. Simple and easy to adjust. Overall, I think Chery A5 is a very good family car, comfortable, spacious, quiet and smooth.”
[0067] According to attached Figure 5 In the sentence sentiment analysis system shown, the first step needs to divide this text into sentences.
[0068] Sentence Segmentation of Text
[0069] In Chinese text, sentences ...
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The invention discloses a method for acquiring statement emotion tendency and a system for acquiring statement emotion tendency. The method comprises the following steps: (step101) segmenting statements into terms to acquire the concept categories of the terms; (step102) obtaining feature chunks including dynamic 'v' concepts and generalized object chunks excluding dynamic 'v' concepts according to the concept categories of the terms, segmenting statements according to the feature chunks and the generalized object chunks in the statements, thereby obtaining semantic chunk segmentation candidate sets in the statements; (step103) acquiring concept category candidate sets of the statements according to the concept categories of the core terms of the feature chunks included in the semantic chunk segmentation candidate sets; (step104) performing sentence category to the concept category candidate sets and the semantic chunk segmentation candidate sets of the statements, thereby acquiring the unique sentence category expression corresponding to the statement and semantic chunk segmentation; (step105) mapping the unique sentence category expression of the statement, the semantic chunk segmentation and the polarity terms of the statement into a tendency evaluation model, thereby acquiring statement emotion tendency.
Description
technical field [0001] The invention relates to the field of text analysis, in particular to a method and system for acquiring the emotional tendency of sentences. Background technique [0002] Natural language text is an important tool for communication between people. Chat texts on the Internet, blogs, microblogs, forum posts, and reply texts all contain the emotional tendency of the speaker or the author of the article, and some texts describe the emotion and attitude of the evaluator towards the evaluation object. Analyzing and obtaining the emotional orientation in these texts has become an urgent need for national security, public opinion analysis and social management. The purpose of text sentiment analysis is to obtain the sentimental tendency of opinion holders in the text towards a certain evaluation object. Therefore, the emotional orientation of the text includes the following elements: the evaluator, the object of evaluation, and the orientation attitude. Wor...
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IPC IPC(8): G06F17/30G06F17/27
Inventor 韦向峰张全黄曾阳袁毅池毓焕
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI