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Text emotional tendency analysis method applied to field of financial Web

A technology of emotional tendencies and analytical methods, applied in the fields of natural language processing and machine learning, which can solve problems such as complex research

Inactive Publication Date: 2015-11-04
HOHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

(3) The intersection of various disciplines leads to complex research, and researchers need to have comprehensive capabilities in natural language processing technology, computer technology, financial expertise, etc.

Method used

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  • Text emotional tendency analysis method applied to field of financial Web
  • Text emotional tendency analysis method applied to field of financial Web
  • Text emotional tendency analysis method applied to field of financial Web

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Embodiment Construction

[0060] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of this application.

[0061] Such as figure 1 As shown, the present invention provides a text sentiment analysis method applied to the financial Web field, and the specific steps include:

[0062] Step A. Such as figure 2 As shown, screen data sources and design a multi-threaded web crawler to obtain web financial data, specifically:

[0063] A1. According to the ranking of financial websites provided by the Alexa official website, comprehensively screen Oriental Fortune.com, Hexun.com, Financial World and Baidu News ...

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Abstract

The present invention discloses a text emotional tendency analysis method applied to the field of financial Web. The method comprises: performing data source screening on Web financial text information and performing data acquisition; according to a Web financial text feature, constructing a financial emotional dictionary; and designing an independent information clearance algorithm and a Web financial text emotional tendency classification algorithm to perform Web text emotional tendency classification. The method is high in classification accuracy and high in classification speed, can effectively analyze whole emotion of a financial market by classifying emotional tendencies of a Web emotional text, and has important help and guidance significances for financial trend prediction.

Description

technical field [0001] The invention relates to a method for analyzing the sentiment tendency of web financial texts by using a financial sentiment dictionary and Chinese grammatical features, and belongs to the technical fields of natural language processing and machine learning. Background technique [0002] With the development of the Internet and information technology, the amount of information on the Web has increased unprecedentedly. More and more organizations and individuals express their opinions, attitudes and positions on various things in various ways through the Internet, such as Douban movie reviews and news reviews. , social networking sites, etc. Massive Web opinion information is of great significance and huge commercial value to various aspects such as e-commerce and market forecasting, and the amount of Web information in the financial industry is the fastest growing and most affected industry on the Internet. Emotional analysis of Web financial text info...

Claims

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Application Information

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IPC IPC(8): G06F17/27G06F17/30
Inventor 严勤丁聪吕勇夏阁
Owner HOHAI UNIV
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