Civil aviation security public opinion emotion analysis method

A technology of sentiment analysis and security public opinion, applied in the field of civil aviation security public opinion sentiment analysis, can solve problems such as complex expressions, inapplicability to large-scale text processing, selection of limited features, and corpus size

Inactive Publication Date: 2017-04-26
CIVIL AVIATION UNIV OF CHINA
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Problems solved by technology

However, these two methods mainly have the following problems in the application of microblog sentiment analysis: ① The method based on semantic understanding uses the method of constructing a benchmark lexicon and defining expression rules to perform pattern matchin

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  • Civil aviation security public opinion emotion analysis method
  • Civil aviation security public opinion emotion analysis method
  • Civil aviation security public opinion emotion analysis method

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Embodiment Construction

[0067] The civil aviation security public opinion sentiment analysis method provided by the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0068] like figure 1 As shown, the civil aviation security public opinion emotion analysis method provided by the invention comprises the following steps carried out in order:

[0069] (1) Retrieve, preprocess, and word-segment operations on microblog texts on the Internet that contain civil aviation security public opinion keywords;

[0070] Grab the microblog texts that contain civil aviation security public opinion keywords on the Internet, as the analysis object of the present invention, retrieve keywords related to civil aviation security public opinion from these microblog texts, keywords are divided into two types of location words and behavior words, for To ensure the comprehensiveness of data acquisition, the retrieval strategy is divided into two metho...

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Abstract

The present invention relates to a civil aviation public opinion emotion analysis method. The method comprises the steps of performing searching, preprocessing and word segmentation on microblog texts comprising keywords about civil aviation security public opinions in the internet; building a dictionary; grading each microblog text to obtain a microblog text emotion value; performing objective and subjective judgment on the microblog text according to the emotion value, so as to obtain a threat value of the microblog text for civil aviation security; and determining the threat level of the opinion in the microblog text for civil aviation security according to the threat value. The emotion value of the microblog text is determined by combining text semantics and microblog emoticons, the limitation of the dictionary and semantics rules are overcome, and the emotion value is determined more accurately. Due to full use of the characteristic of the microblog text, the threat level is determined more reasonably. The method differs from a machine learning method and is not trained with a large scale of tagged data, thereby being more suitable for processing of real-time data flow.

Description

technical field [0001] The invention belongs to the technical field of text sentiment analysis in natural language processing, and in particular relates to a method for sentiment analysis of civil aviation security public opinion. Background technique [0002] In the Internet age with rapid information expansion, more and more users tend to share their opinions or experiences through the Internet, so there are a large number of short texts with subjective emotions in social networks. Sina Weibo is an information sharing and communication platform that provides entertainment, leisure and life services for the public. At present, the number of active users of Sina Weibo remains at about 200 million. It inherits the advantages of traditional forums and blogs, combined with mobile terminals such as mobile phones, Enable information to be released and acquired quickly in real time. Weibo integrates entertainment, social networking, and marketing. It has gradually evolved from me...

Claims

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Application Information

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IPC IPC(8): G06F17/27G06F17/30
CPCG06F16/3344G06F16/35G06F16/374G06F40/289G06F40/30
Inventor 韩萍李杉贾云飞牛勇钢
Owner CIVIL AVIATION UNIV OF CHINA
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