Method for measuring similarity between accounts with social network depression emotion
A similarity measurement and social network technology, which is applied in the field of account similarity measurement of social network depression and emotion, can solve the problems of time lag and the inability to detect crises effectively
Inactive Publication Date: 2016-01-13
宁波知微瑞驰信息科技有限公司 +1
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Problems solved by technology
Due to the active cover-up of people in real life and the negligence of family members, it is often impossible to truly and effectively discover the hidden crises around us, and there is a large time lag
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specific Embodiment approach 1
[0078] Specific embodiment one: below in conjunction with Fig. 1, illustrate this embodiment, the measurement method of the depression emotion similarity of a kind of social network account described in this embodiment, it comprises the following steps:
[0079] Step 1: Obtain the complete text content of all self-published posts of the account of the social network to be analyzed within d days (7≤d≤100) of the specified online community, the posting time of the self-published posts, replies and comments of others The complete text content of the post, the time to reply and comment on other people's posts; and a list of depressive emotion words is artificially given, which includes more than 100 emotional words of depression tendency; an emotional similarity threshold θ (θ>0) is artificially given .
[0080] Step 2: Completely record the information of each account, standardize the information of each account, and obtain the standardized result NT, which includes the following...
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The present invention provides a method for measuring similarity between accounts with a social network depression emotion and belongs to the the technical application field of social network data mining. The method has the advantages that based on inherent properties of a social network and depression emotion expression, an account depression emotion similarity evaluation method based on an emotion time period is disclosed, a secondary feature of a segmented time standard is established based on user information during processing and evaluation is carried out by a similarity rule. A linear complexity algorithm is used for analysis during calculation, computational resource demands are small and time cost and space cost are relatively low; and comparison processing is adopted in the similar process and finally, true highly similar account information is output. The information has higher practical value in real extraction. According to the method provided by the present invention, analysis on time influence of depression emotion information of the social network is realized effectively, accounts with similar emotions can be recognized automatically, and the method can be used for subsequent manual analysis and influence and intervention under the condition of designating the influence level.
Description
technical field [0001] The invention relates to an account similarity measurement method for social network depression, which belongs to the technical application field of social network data mining Background technique [0002] With the acceleration of the pace of modern life, depression has become a common disease that endangers human physical and mental health. In the normal population, 7-12% of men and 20-25% of women may suffer from depression more than once in their lifetime. The suicide rate in major depressive disorder is as high as 15%. While depression brings deep distress to patients and their families, it also has a greater impact on society, resulting in irreparable economic losses. [0003] Most of the current findings on people with depression are based on the spontaneous discovery of actual families, which is actually a great suffering. Due to the active cover-up of people in real life and the negligence of family members, it is often impossible to truly a...
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IPC IPC(8): G06Q50/00
Inventor 于霄
Owner 宁波知微瑞驰信息科技有限公司