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Method and system for constructing multi-emotion dictionary for internet

A technology of emotional dictionary and construction method, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as error in sentiment analysis results, small scale, and difficult to hit emotional words, and achieve the effect of rich results

Inactive Publication Date: 2014-01-29
TSINGHUA UNIV +1
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the size of the emotional dictionary is small, many emotional words will be missed, and the emotional tendency of the text cannot be recognized, especially for some short texts, it is even more difficult to hit emotional words; if the quality of the emotional dictionary is not high, it will also cause errors in the results of sentiment analysis

Method used

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  • Method and system for constructing multi-emotion dictionary for internet
  • Method and system for constructing multi-emotion dictionary for internet
  • Method and system for constructing multi-emotion dictionary for internet

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Embodiment Construction

[0027] like figure 1 Shown is an application environment diagram of a preferred embodiment of the Internet multi-sentiment dictionary construction system 10 (hereinafter referred to as the system 10 ) of the present invention. The system 10 runs on a computing device 1 . The computing device 1 also includes a memory 20 , a processor 30 , a display device 40 and an input device 50 connected via a data bus. The computing device 1 may be a computer, a mobile phone, a PDA (Personal Digital Assistant, personal digital assistant) and the like.

[0028] The memory 20 is used for storing program codes and other data of the system 10 . The display device 40 may be a liquid crystal display screen of a computer, a touch screen of a mobile phone, or the like. The input device 50 is used to input various data set by the user, for example, a keyboard, a mouse, and the like.

[0029] refer to figure 2Shown is a functional block diagram of a preferred embodiment of the system 10 . In o...

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Abstract

Provided are a method and system for constructing a multi-emotion dictionary for the internet. The method includes the steps that internet text linguistic data are obtained from the internet; data preprocessing is carried out on the obtained text linguistic data to obtain candidate words of the emotional dictionary; new words are extracted from the obtained text linguistic data to obtain candidate words of the emotional dictionary; an undirected graph model is constructed by means of the obtained candidate words of the emotional dictionary; iterative computation is conducted on multiple motion scores of each node in an undirected graph by means of the undirected graph model and a label propagation algorithm to construct the emotion dictionary. According to the method and system, different seed words can be adopted to construct emotion dictionaries with different emotions, and therefore the results of emotion recognition are richer.

Description

technical field [0001] The invention relates to the field of intelligent processing of network information, in particular to a method and a system for constructing an emotional dictionary by using the emotional emotions shown in Internet texts. Background technique [0002] With the development of the Internet, social media has emerged in large numbers. Social media uses the Internet as a medium to provide users with an exchange platform for sharing opinions and experiences, and brings together a large number of user-generated content, which directly reflects people's emotions, opinions, and hobbies. The text content in social media includes blogs, microblogs, forum discussions, product reviews, etc., which are carriers for users to express their personal emotions, and have a great impact on social public opinion, brand reputation, product evaluation, etc. Therefore, text sentiment analysis technology for these media has become a hot issue in recent years. Text sentiment a...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/353G06F16/374
Inventor 刘奕群马少平张敏金奕江张阔
Owner TSINGHUA UNIV
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