Text emotion classifying method in stock field

A sentiment classification, stock technology, applied in special data processing applications, instruments, electrical digital data processing and other directions, can solve problems such as high prices
CN102023967AInactive Publication Date: 2011-04-20TSINGHUA UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
TSINGHUA UNIV
Publication Date
2011-04-20
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The invention provides a text emotion classifying method in the stock field, belonging to the technical field of stock tendentiousness analysis. The text emotion classifying method is characterized in that feature selection is carried out on an enlarged stock emotion word through public news information comprising stock news and the like and by using an improved evaluation group; feature weighting selection is carried out on emotion word in the stock Chinese text by using absolute word frequency weighting; and finally, tendentiousness analysis is carried out on stock news by using a Bayes, K-NN or SVM (support vector machine) text emotion classifying algorithm. The method provided by the invention has the advantages of simplicity and feasibility, and is convenient for calculation.
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Description

technical field

[0001] The invention belongs to the field of text sentiment classification of natural language processing, and in particular relates to a text sentiment classification method facing the stock field. Background technique

[0002] With the development of the economy and the improvement of people's living standards, it has gradually become the general trend of today's society to invest and manage money by buying stocks. How to buy stocks accurately has become a matter of great concern to investors. At the same time, with the rapid development of network technology, the network has gradually replaced traditional news media as the main way for people to obtain information due to its real-time, richness, and coverage. More and more stock news appears on the Internet. These news include macroeconomic news, stock-related news, industry news, listed company news and so on.

[0003] Efficient Market Theory (EMH: Efficient Markets Hypothesis), also known as the Efficie...

Claims

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