Microblog emotion determination method

A determination method and microblogging technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as inaccurate sentiment analysis results and achieve accurate results of sentiment analysis

Inactive Publication Date: 2018-10-12
UNIV OF SCI & TECH BEIJING
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AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a microblog sentiment determination method to solve the problem that existing machine learning-based sentiment analysis methods in the prior art ignore the influence of microblog text particularity on sentiment tendency, resulting in inaccurate sentiment analysis results The problem

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Embodiment Construction

[0034] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0035] The present invention provides a microblog sentiment determination method for the problem that the existing sentiment analysis method based on machine learning ignores the influence of microblog text particularity on sentiment tendency, resulting in inaccurate sentiment analysis results.

[0036] Such as figure 1 As shown, the microblog emotion determination method provided by the embodiment of the present invention includes:

[0037] S101, constructing a microblog sentiment dictionary;

[0038] S102, acquiring microblog text to be processed;

[0039] S103, according to the pre-set sentence pattern classification rule set, determine the acquired sentence pattern type of each clause in the microblog text to be processed and the influence weight o...

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Abstract

The invention provides a microblog emotion determination method, which can improve the accuracy of emotion analysis results. The method includes the following steps: constructing a microblog emotion dictionary; obtaining a microblog text to be processed; according to a preset sentence pattern classification rule set, determining a sentence pattern type of each sentence in the obtained microblog text to be processed and the influence weight of the sentence pattern types on the emotion tendency; and determining an emotion tendency value of the microblog text to be processed according to the constructed microblog emotion dictionary and the determined sentence pattern type of each sentence in the microblog text to be processed and the influence weight of the sentence pattern types on the emotion tendency. The scheme of the invention is suitable for acquiring emotions expressed by users.

Description

technical field [0001] The invention relates to the technical field of data information processing, in particular to a microblog emotion determination method. Background technique [0002] Weibo is an integrated and open social service platform for relationship-based information creation, communication, dissemination, and acquisition. The huge user base of Weibo and massive data information hide huge commercial and social values. How to effectively Obtaining the emotions expressed by users has become a research hotspot in various fields. [0003] The current microblog sentiment analysis method is widely used based on machine learning sentiment analysis method. The sentiment analysis method based on machine learning converts the text into a digital model, uses the training data of the labeled category to train and learn a better classification model, and then uses the learned classification model to predict the emotional tendency category of the unknown text. Machine learni...

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
CPCG06F40/211G06F40/247
Inventor 宁焕生吴京京
Owner UNIV OF SCI & TECH BEIJING
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