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Automatic prediction method of network news expression distribution

A prediction method and news technology, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the problems of unreliability and loss of voting distribution regardless of news expressions

Active Publication Date: 2011-03-09
人民中科(北京)智能技术有限公司
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Problems solved by technology

The existing methods ignore the above two points. Generally, each network news sample receives the news expression with the most user votes directly as the category of the network news sample, and then uses the multi-category-oriented text feature selection method to select keywords. , a lot of user voting information is lost; at the same time, the unreliability of the vote distribution of news emoticons caused by different user votes is not considered

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  • Automatic prediction method of network news expression distribution
  • Automatic prediction method of network news expression distribution
  • Automatic prediction method of network news expression distribution

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Embodiment Construction

[0032] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0033] Execution environment of the present invention adopts a Pentium 4 computer with 3.0G Hz central processing unit and 2G byte internal memory and has compiled the prediction technical scheme of network news emoticon distribution with C++ language, has realized the prediction of the automatic network news expression distribution of the present invention method, and other execution environments may also be used, which will not be repeated here.

[0034] figure 2 The flow chart of the automatic prediction method of network news emoticon distribution provided by the present invention, its steps are as follows:

[0035] Step 101: First collect as many network news samples as possible (generally greater than 1000) and th...

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Abstract

The invention discloses an automatic prediction method of network news expression distribution. The network news expression distribution indicates that multiple network users vote different news expressions to form the news expression distribution after browsing a piece of network news. The invention comprises the following steps: collecting network news data comprising network news samples and news expression user vote data of each sample; utilizing the collected data to carry out keyword selection and extracting the characteristics of each new sample; utilizing a probability label propagation algorithm to modify the distribution of the vote data; and automatically predicting the news expression distribution of a new network news sample by utilizing a machine learning algorithm based on instances. The automatic prediction method of the invention can be applied to predict the news expression analysis of network news and the news expression distribution of a new network news sample.

Description

technical field [0001] The invention relates to the technical field of computer applications, in particular to an automatic prediction method for network news expression distribution. Background technique [0002] Online news emojis are reactions after reading online news. Major domestic news portals (such as Sohu.com, People.cn, Tencent, Phoenix.com, etc.) set up news emojis behind every online news, including: happy, angry, moved , sad, funny, boring, etc.; every network user can vote on the news emoticon column behind the news after reading a network news on the above-mentioned major news portals to express their feelings and emotions. After a large number of Internet users vote for a certain Internet news, the voting data can roughly reflect the current Internet public's mentality and emotion about the news. figure 1 Voting data for a news emoji of Sohu News. News emojis can well reflect the reader's immediate attitude towards the news. Compared with news comments, the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 吴偶胡卫明
Owner 人民中科(北京)智能技术有限公司
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