CN106021846A - Method for analyzing social emotion index - Google Patents

Method for analyzing social emotion index Download PDF

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Publication number
CN106021846A
CN106021846A CN201610277706.1A CN201610277706A CN106021846A CN 106021846 A CN106021846 A CN 106021846A CN 201610277706 A CN201610277706 A CN 201610277706A CN 106021846 A CN106021846 A CN 106021846A
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China
Prior art keywords
emotion
society
index
analysis method
weight
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Pending
Application number
CN201610277706.1A
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Chinese (zh)
Inventor
杜蕾
黄三伟
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hunan Yi Fang Softcom Ltd
Original Assignee
Hunan Yi Fang Softcom Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Priority to CN201610277706.1A priority Critical patent/CN106021846A/en
Publication of CN106021846A publication Critical patent/CN106021846A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16ZINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00Subject matter not provided for in other main groups of this subclass

Abstract

The invention relates to the field of network technologies and especially relates to a method for analyzing a social emotion index. The method comprises the steps that at the step S101, an index system is determined; at the step S102, an emotion fluctuation is computed; at the step S103, a weight of each emotion in the index system is determined; and at the step S104, the social emotion index is computed. Through application of the method provided by the invention, the scientific index system is established, and the rational sub-emotion weights are set, so that the social emotions can be quantified and normalized; thus, dimension reduction is carried out to the multi-dimensional social emotions, the comprehensive social emotion index can be obtained, and the social emotions can be measured from a macroscopic perspective; and trends and tendency changes of the social emotions can be mastered as a whole.

Description

A kind of analysis method of society moos index
Technical field
The present invention relates to networking technology area, the analysis method of a kind of society moos index.
Background technology
It is said that in general, emotion is individual mind phenomenon, there is the ability exciting individual behavior.Meanwhile, it is also a kind of society Meeting role, closely bound up with many societies and cultural construction.
Present price section principally falls into category qualitatively about the research of emotion, and quantitative technology is not a lot.Scholar mostly It is directed generally to judge the kind of emotion, at public sentiment warning aspect, mainly by front emotion and the thick lines of negative emotions Analyzing and processing.The multi-dimensional nature of emotion result in its as psychological phenomenon, be continually changing and be difficult to stable position.Therefore, society The research of meeting moos index is not the most, but the determination of society's moos index has important commenting to the stable development of society Estimate effect.
Summary of the invention
The technical issues that need to address of the present invention provide the analysis method of a kind of society moos index.
For solving above-mentioned technical problem, the analysis method of a kind of society moos index of the present invention, comprise the following steps,
Step S101: agriculture products system;
Step S102: calculate anxious state of mind;
Step S103: the weight of each emotion in agriculture products system;
Step S104: calculate society's moos index.
Further, index system described in described step S101 is the social sentiment indicator based on 8 seed emotions System: anger, evil, compassion, fear, without, frightened, good, happy.
Further, described anxious state of mind is the difference between present stage emotion and steady statue,
The undulating value of i-th kind of emotion
Wherein, the proportion of i-th kind of emotion
It it is i-th kind of emotion mean specific gravity in special time.
Further, described step S103 specifically includes following steps,
Step S1031: emotion weight sector is set;
Step S1032: calculate the difference of dispersion degree between adjacent emotion;
Step S1033: calculate each emotion weight.
Further, emotion weight sector described in described step S1031 is defined between [-50,50], arranges emotion Disliking as-50, pleasure is 50.
Further, in described step S1032, between adjacent emotion, the difference of dispersion degree is d, and step S1033 is fallen into a trap Calculating each emotion weight is
Further, described step S104 calculates society's moos index and carried out line by each sentiment indicator according to its weight Property combination obtain,
s u n d u = Σ i = 1 8 e ~ i × w i .
After using said method, the present invention is by setting up the index system of science, arranging rational sub-emotion weight by society Can emotion carry out quantifying and normalizing;Thus the social emotion dimensionality reduction of various dimensions is obtained comprehensive social moos index, with Just society's emotion is weighed from the angle of macroscopic view;Contribute to holding trend and the Long-term change trend of society's emotion from entirety.
Accompanying drawing explanation
Below in conjunction with the drawings and specific embodiments, the present invention is further detailed explanation.
Fig. 1 is the flow chart of the analysis method of a kind of society of present invention moos index.
Detailed description of the invention
As it is shown in figure 1, the analysis method of a kind of society moos index of the present invention, comprise the following steps,
Step S101: agriculture products system, in order to from passive and actively from the point of view of emotion, in conjunction with existing feelings Thread research, the present invention establishes the social sentiment indicator system based on 8 seed emotions: anger, evil, compassion, fear, without, frightened, good, Happy.
Step S102: calculate anxious state of mind;Shown by research, from the perspective of macroscopic view, especially for whole society For Hui, different emotion proportions be in steady statue in a long time.Between present stage emotion and steady statue Difference forms the fluctuation of emotion, can be used to calculate society's moos index.
Described anxious state of mind is the difference between present stage emotion and steady statue,
The undulating value of i-th kind of emotion
Wherein, the proportion of i-th kind of emotion
It it is i-th kind of emotion mean specific gravity in special time.
Step S103: the weight of each emotion in agriculture products system;From passiveness to actively emotion can be divided into anger, evil, Sad, fear, without, frightened, good, happy, but the difference between actually adjacent emotion is not equal.Difference between anger and evil is not It is equal to the difference well and between pleasure.Therefore, the weight of each emotion is not simple arithmetic progression, and this method introduces discrete system Number weighs the difference between 8 kinds of emotions.
Dispersion degree in coefficient of dispersion reflection unit average, is commonly used in the ratio of the dispersion degree that two population means do not wait Relatively go up.
C V = σ u
For two kinds of adjacent emotions in the present invention, the two coefficient of dispersion difference is the least, illustrates that both emotions come from Same overall probability is the biggest, namely the difference between emotion is the least, and angle is the least, and vice versa.Therefore, for the meter of weight Calculation can point following steps be carried out:
Step S1031: emotion weight sector is set;By emotion weight definition within the interval of [-50,50], and arrange Disliking as-50, pleasure is 50.
Step S1032: calculate difference d of dispersion degree between adjacent emotion.
Step S1033: calculate each emotion weight,
Step S104: calculate society's moos index (three Du's indexes), each sentiment indicator is carried out linear group according to its weight Conjunction obtains,
s u n d u = Σ i = 1 8 e ~ i × w i .
Emotion related data is drawn by sampling:
Although the foregoing describing the detailed description of the invention of the present invention, but those skilled in the art should be appreciated that this It is merely illustrative of, present embodiment can be made various changes or modifications, without departing from principle and the essence of invention, this The protection domain of invention is only limited by the claims that follow.

Claims (7)

1. the analysis method of a social moos index, it is characterised in that comprise the following steps,
Step S101: agriculture products system;
Step S102: calculate anxious state of mind;
Step S103: the weight of each emotion in agriculture products system;
Step S104: calculate society's moos index.
2. according to the analysis method of a kind of society moos index described in claim 1, it is characterised in that in described step S101 Described index system is the social sentiment indicator system based on 8 seed emotions: anger, evil, compassion, fear, without, frightened, good, happy.
3. according to the analysis method of a kind of society moos index described in claim 2, it is characterised in that: described anxious state of mind is Difference between present stage emotion and steady statue,
The undulating value of i-th kind of emotion
Wherein, the proportion of i-th kind of emotion
It it is i-th kind of emotion mean specific gravity in special time.
4. according to the analysis method of a kind of society moos index described in claim 2, it is characterised in that described step S103 has Body comprises the following steps,
Step S1031: emotion weight sector is set;
Step S1032: calculate the difference of dispersion degree between adjacent emotion;
Step S1033: calculate each emotion weight.
5. according to the analysis method of a kind of society moos index described in claim 4, it is characterised in that: described step S1031 Described in emotion weight sector be defined between [-50,50], emotion is set and dislikes as-50, pleasure is 50.
6. according to the analysis method of a kind of society moos index described in claim 4 or 5, it is characterised in that: described step In S1032, between adjacent emotion, the difference of dispersion degree is d, calculates each emotion weight and be in step S1033
7. according to the analysis method of a kind of society moos index described in claim 6, it is characterised in that: in described step S104 Calculating society moos index is carried out linear combination by each sentiment indicator according to its weight and obtains,
s u n d u = Σ i = 1 8 e ~ i × w i .
CN201610277706.1A 2016-04-27 2016-04-27 Method for analyzing social emotion index Pending CN106021846A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610277706.1A CN106021846A (en) 2016-04-27 2016-04-27 Method for analyzing social emotion index

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610277706.1A CN106021846A (en) 2016-04-27 2016-04-27 Method for analyzing social emotion index

Publications (1)

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CN106021846A true CN106021846A (en) 2016-10-12

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CN201610277706.1A Pending CN106021846A (en) 2016-04-27 2016-04-27 Method for analyzing social emotion index

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109447050A (en) * 2018-12-29 2019-03-08 上海乂学教育科技有限公司 A kind of Online class user emotion visualization system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109447050A (en) * 2018-12-29 2019-03-08 上海乂学教育科技有限公司 A kind of Online class user emotion visualization system
CN109447050B (en) * 2018-12-29 2020-08-04 上海乂学教育科技有限公司 Online classroom user emotion visualization system

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