CN109766426A - A kind of hot topic any active ues localization method - Google Patents
A kind of hot topic any active ues localization method Download PDFInfo
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Abstract
The present invention provides a kind of hot topic any active ues localization methods, including obtain data acquisition system, and the data acquisition system includes a kind of data and two class data；Data grouping is carried out according to the issuing time of a kind of data, obtains packet data collection；For each packet data collection, hot spot data collection of network is calculated；Obtain corresponding weight digraph in each hot spot data collection of network；The weight digraph is analyzed, the hot topic any active ues of the corresponding weight digraph are chosen.The present invention has obtained hot spot data collection of network by reasonable data processing step, and the acquisition of hot spot data collection of network is the reasonable data source of research hot topic topic, has wide application space.Further, the present invention has also obtained hot topic any active ues from hot spot data collection of network, and the hot topic any active ues can be used as the target user of many scenes, for example provide investigation report, questionnaire survey, and advertisement orientation is launched etc..
Description
Technical field
The present invention relates to computer field more particularly to a kind of hot topic any active ues localization methods.
Background technique
In data analysis field, it is often necessary to analyze data.In common interactive website, for example know, hundred
Spending discussion bar, there are a large amount of users mutually to comment class data, and this kind of data can react the personal preference of user, also can be used in studying
Current events hot spot and social phenomenon, there are more social informations, can be widely used in advertising objective user study, hot spot
Study on Problems, the every field such as public sentiment supervision.But lack the data processing method for this kind of data in the prior art, it is also difficult
It is used with extracting effective data source and any active ues from this kind of data for use as the analysis of subsequent data.
Summary of the invention
In order to solve the above-mentioned technical problem, the invention proposes a kind of hot topic any active ues localization methods.The present invention
Specifically realized with following technical solution:
A kind of hot topic any active ues localization method, comprising:
Data acquisition system is obtained, the data acquisition system includes a kind of data and two class data；One kind data are directly to send out
The data of cloth, the two classes data are the comment data for a kind of data；
Data grouping is carried out according to the issuing time of a kind of data, obtains packet data collection, the packet data convergence packet
Include a kind of data and two classes data relevant to one kind data；
Each packet data collection is pre-processed, the corresponding data network set of the packet data collection is obtained；
For each packet data collection, its corresponding topic vector set is calculated；
The hot spot data collection of network of the packet data convergence is obtained based on the topic vector set；
Obtain corresponding weight digraph in each hot spot data network；
The weight digraph is analyzed, the hot topic any active ues of the corresponding weight digraph are chosen.
Further, described that the hot spot data collection of network of the packet data convergence is obtained based on the topic vector set
Include:
Obtain the temperature attribute of each data network；
According to the doubtful hot spot data network of the temperature attributes extraction；
Obtain the correlation matrix of doubtful hot spot data network；
Obtain the element that numerical value in the correlation matrix is greater than default relevance threshold；
If the element sum is greater than preset heat degree threshold, the doubtful hot spot data network is judged as hot spot number
According to network, to obtain hot spot data collection of network.
Further, the construction method of weight digraph includes:
Obtain the sincere degree weight and support weight of hot spot data network each edge；
According to the comprehensive weight on side described in the sincere degree weight and the support weight calculation.
Further, further include the method for quantifying sincerely to spend weight:
Sincere metrization table is constructed, the sincere metrization table includes that number of words section and the number of words section are corresponding sincerely
Spend weight；
Starting user is obtained in each edge to the number of words of the reply of end user；
The number of words section where the number of words is inquired according to the sincere metrization table, and obtains its corresponding sincere degree power
Weight.
Further, further include the method for quantifying support weight:
According to starting user in preset emotion word lists extraction each edge to the target emotion in the reply of end user
Word；
Obtain the corresponding weight of target emotion word；
Take the total value of the corresponding weight of target complete emotion word as support weight.
Further, the choosing method of hot topic any active ues includes:
Simplify weight digraph and obtains target digraph；
The hot value on each vertex in initialized target digraph；
Arbitrarily one vertex of selection, according to the current fever thermometer on the vertex and each related top for being directed toward the vertex
Temperature after the iteration on the vertex is calculated, and using temperature after the iteration as the current temperature on the vertex；
Continue to calculate the current temperature on other vertex according to the step above method, until each top in the target digraph
The current temperature of point tends towards stability；
The maximum N number of user of current temperature is chosen as hot topic any active ues.
The present invention has obtained hot spot data collection of network by reasonable data processing step, and hot spot data collection of network
Acquisition be research hot topic topic reasonable data source, have wide application space.Further, the present invention is also from hot spot
Hot topic any active ues are obtained in data network set, the hot topic any active ues can be used as the mesh of many scenes
User is marked, for example provides investigation report, questionnaire survey, advertisement orientation dispensing etc..
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of hot topic any active ues localization method flow chart provided in an embodiment of the present invention；
Fig. 2 is provided in an embodiment of the present invention to obtain the hot spot number of the packet data convergence based on the topic vector set
According to the method flow diagram of collection of network；
Fig. 3 is the construction method flow chart of weight digraph provided in an embodiment of the present invention；
Fig. 4 is the method flow diagram that weight is sincerely spent in quantization provided in an embodiment of the present invention；
Fig. 5 is the method flow diagram of quantization support weight provided in an embodiment of the present invention；
Fig. 6 is the choosing method flow chart of hot topic any active ues provided in an embodiment of the present invention.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The model that the present invention protects all should belong in member's every other embodiment obtained without making creative work
It encloses.
It should be noted that description and claims of this specification and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way
Data be interchangeable under appropriate circumstances, so as to the embodiment of the present invention described herein can in addition to illustrating herein or
Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover
Cover it is non-exclusive include, for example, the process, method, system, product or equipment for containing a series of steps or units are not necessarily limited to
Step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, product
Or other step or units that equipment is intrinsic.
The embodiment of the present invention provides a kind of hot topic any active ues localization method.The method is as shown in Figure 1, comprising:
S101. data acquisition system is obtained, the data acquisition system includes a kind of data and two class data.
The data include a kind of data and two class data, and one kind data are the data directly issued, two class
Data are the comment data for a kind of data.
S102. data grouping is carried out according to the issuing time of a kind of data, obtains packet data collection, the packet data collection
In include a kind of data and two classes data relevant to a kind of data.
Specifically, the time dimension of data grouping can be configured according to specific requirements, for example, on the same day, the same star
Phase, the same moon etc..
S103. each packet data collection is pre-processed, obtains the corresponding data network set of the packet data collection.
The data network set is with digraph diThe form of={ V, E } records, and wherein V is vertex, corresponding user identifier,
E is directed edge, represents the comment for a kind of data that the two class data that a user identifier is issued issue another user identifier
Relationship, each vertex include user identifier, title and content three parts data.
For example, if user spark has issued an a kind of data, user tony, samby and dazzi carry out it
Comment has then obtained including four vertex, the data network of three directed edges, and directed edge is to be directed toward spark from tony,
Samby is directed toward three sides that spark and dazzi is directed toward spark.The direction of directed edge institute is directed toward by the user for issuing two class data
State the user of the corresponding a kind of data of two class data.
It specifically, may include the use of two class data of multiple users for issuing a kind of data and multiple publications in data network
Family, and the user that the user for issuing a kind of data can also simultaneously as two class data of publication, the embodiment of the present invention do not limit
The specific generation method of data network.
S104. for each packet data collection, its corresponding topic vector set is calculated.
Specifically, the topic vector set can be identified as { topiI, c wherein topici={ (ti1,pi1)......
(tin,pin), wherein for tijTopic topiciIn the keyword that is likely to occur, PijThe keyword occurs in the topic
Probability.In fact the title on each vertex in data network and content can regard a series of probability point of keywords as
Therefore cloth carries out analysis by the title for each vertex and combines priori knowledge that topic relevant to vertex can be obtained, by
This obtains the corresponding topic vector set of data network, for each packet data convergence the corresponding topic of each data network to
Quantity set takes union, obtains the corresponding topic vector set of each packet data collection.And the specific method for obtaining topic vector set
The embodiment of the present invention does not make specific restriction, can refer to the prior art.
S105. the hot spot data collection of network of the packet data convergence is obtained based on the topic vector set.
Specifically, hot spot data collection of network has corresponded to hot topic within a certain period of time, hot spot data network collection
The acquisition of conjunction is the reasonable data source of research hot topic topic, can carry out data analysis, topic temperature point based on this data source
Analysis, industry temperature relevant to topic analysis, a variety of subsequent operations such as positioning of relevant advertisements target group, therefore, hot spot number
Has biggish real value according to the acquisition of collection of network.
S106. corresponding weight digraph in each hot spot data network is obtained.
S107. the weight digraph is analyzed, the hot topic for choosing the corresponding weight digraph is actively used
Family.
Further, as shown in Fig. 2, described obtain the hot spot number of the packet data convergence based on the topic vector set
Include: according to collection of network
S1051. the temperature attribute of each data network is obtained.
Specifically, the temperature attribute can be obtained according to the actual situation, for example, used in the embodiment of the present invention
Temperature attribute is the reading different degree of data network number of vertex different degree, data network participation different degree and data network.
Specifically, number and the data network institute of the data network priority of vertex for the data network vertex
The ratio of any active ues sum within the packet data collection corresponding period.Any active ues can be online clear according to user
Look at data number definition.
It is each data in the data network number of vertices and the data network that the data network, which participates in different degree,
The ratio of the sum browsed.
The reading different degree of the data network is the sum and the number that each data are browsed in the data network
According to the ratio of any active ues sum in the corresponding period of packet data collection where network.
S1052. according to the doubtful hot spot data network of the temperature attributes extraction.
Specifically, only when data network number of vertex different degree is greater than preset first threshold value, and data network participation weight
The reading different degree for being greater than default second threshold and data network is spent greater than the data network of default third threshold value, is only doubtful
Hot spot data network.
Specifically, first threshold is 0.1 in the embodiment of the present invention, second threshold 0.15, and third threshold value is 0.3.
S1053. the correlation matrix of doubtful hot spot data network is obtained.
Specifically, some vertex and the acquisition methods of the degree of correlation of some topic vector include:
Based on formulaThe degree of correlation on some vertex Yu some topic vector is calculated, whereinViFor the vertex
Title, key is while being under the jurisdiction of the keyword of title described in the topic vector sum, and the P (key) is the keyword in institute
State the probability in topic vector.
Further, on the basis of obtaining the degree of correlation on some vertex and some topic vector, the available vertex
The degree of correlation of each topic in the topic vector set, to obtain vertex relevance vector, the relevance vector indicates institute
State the degree of correlation on vertex Yu each topic.
It is column with the vertex relevance vector on some vertex, obtains the corresponding correlation matrix of doubtful hot spot data network.
S1054. the element that numerical value in the correlation matrix is greater than default relevance threshold is obtained.
If S1055. the element sum is greater than preset heat degree threshold, the doubtful hot spot data network is judged as
Hot spot data network, to obtain hot spot data collection of network.
Further, the construction method of the weight digraph is as shown in Figure 3, comprising:
S1061. the sincere degree weight and support weight of hot spot data network each edge are obtained.
Specifically, the weight of each edge is evaluated in the embodiment of the present invention in terms of sincere degree and support two.Sincerely degree
The number of words of the reply of end user is measured by each edge starting user, the embodiment of the present invention thinks that the number of words replied is got over
It is more, indicate that the answer of starting user more has sincerity.Support is by each edge starting user in the reply of end user
The sentiment analysis result of appearance is measured, if the content of the reply of starting user has more front color, support is higher,
Conversely, support angle.
S1062. the comprehensive weight on the side according to the sincere degree weight and the support weight calculation.
Specifically, the comprehensive weight=α sincerely spends weight+β support weight.α and β is adjustment parameter, can basis
Actual conditions are adjusted, but its total value is 1.
Specifically, the embodiment of the present invention further provides the method that weight is sincerely spent in quantization, as shown in Figure 4, comprising:
S1. sincere metrization table is constructed, the sincere metrization table includes that number of words section and the number of words section are corresponding
Sincerely degree weight.
For example, number of words in 1-50, then sincerely degree weight is 0.2, if number of words, in 50-100, sincerely spending weight is 0.5, if
Number of words is greater than 100, then sincerely degree weight is 1.
S2. starting user is obtained in each edge to the number of words of the reply of end user.
S3. the number of words section where the number of words is inquired according to the sincere metrization table, and it is corresponding sincerely to obtain its
Spend weight.
Specifically, the embodiment of the present invention further provides the method for quantization support weight, as shown in Figure 5, comprising:
S10. according to starting user in preset emotion word lists extraction each edge to the target in the reply of end user
Emotion word.
Specifically, the emotion word lists can be configured previously according to big data statistical result, the emotion word
Table has recorded emotion word and the corresponding weight of emotion word, the emotion word include certainly word, negative word and in
Vertical word, wherein the weight of neutral word is 0.5, the weight of word negates the weight of word greater than 0.5 less than 0.5 certainly.
Such as negative word " idiot " respective weights 0.9, it negate word " small fool " respective weights 0.6.Weight is heavier, then
The negative tone of negative word is fiercer.For example word " is absolutely correct " respective weights 0.4 certainly, word " should to " is right certainly
Answer weight 0.3.Weight is heavier, then the affirmative tone of word is fiercer certainly.
S20. the corresponding weight of target emotion word is obtained.
S30. take the total value of the corresponding weight of target complete emotion word as support weight.
Further, the choosing method of hot topic any active ues is provided in the embodiment of the present invention, as shown in fig. 6, packet
It includes:
S1071. simplify weight digraph and obtain target digraph.
If starting user has carried out multiple reply to end user, starting user can be generated in digraph G and is directed toward eventually
The a plurality of directed line segment of point user first carries out letter to weight digraph for the ease of the screening of later period hot topic any active ues
Change, so that a plurality of directed line segment between starting user and end user merges into a directed line segment, having after the merging
To the total value for the weight that the comprehensive weight of line segment is a plurality of directed line segment before merging.
S1072. in initialized target digraph each vertex hot value.
Initial hot value is 1. in the embodiment of the present invention
S1073. a vertex is arbitrarily selected, according to the current of each related top on the vertex and the direction vertex
Temperature calculates temperature after the iteration on the vertex, and using temperature after the iteration as the current temperature on the vertex.
Specifically, after iteration temperature hot value according to formulaWherein h
(v) be the vertex current temperature, h (u) is directed to the current temperature of the related top on the vertex, and h ' (v) is the top
Temperature after the iteration of point, χ is adjustment factor, identifies degree the considerations of for various current temperatures, and U is each of the vertex
The set that related top is constituted, Z (u- > v) are temperature transmission function, are tied with the topology for the related top for being directed toward the vertex
Structure is related.
In a feasible embodimentWherein QuvThe directed line of vertex v is directed toward for vertex u
The comprehensive weight of section, ∑ QuThe total value of all comprehensive weights of the directed line segment of related other nodes is directed toward for vertex u.
S1074. continue to calculate the current temperature on other vertex according to the method for step S1073, until the target is oriented
The current temperature on each vertex tends towards stability in figure.
Specifically, the sequencing of temperature can be different according to the actual situation after each vertex calculating iteration, this hair
Bright embodiment does not limit it clearly.The difference of the current hot value to tend towards stability before and after iteration is less than default threshold
Value.
S1075. the maximum N number of user of current temperature is chosen as hot topic any active ues.
It should be understood that referenced herein " multiple " refer to two or more."and/or", description association
The incidence relation of object indicates may exist three kinds of relationships, for example, A and/or B, can indicate: individualism A exists simultaneously A
And B, individualism B these three situations.Character "/" typicallys represent the relationship that forward-backward correlation object is a kind of "or".
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Those of ordinary skill in the art will appreciate that realizing that all or part of the steps of above-described embodiment can pass through hardware
It completes, relevant hardware can also be instructed to complete by program, the program can store in a kind of computer-readable
In storage medium, storage medium mentioned above can be read-only memory, disk or CD etc..
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (6)
1. a kind of hot topic any active ues localization method characterized by comprising
Data acquisition system is obtained, the data acquisition system includes a kind of data and two class data；One kind data are directly issued
Data, the two classes data are the comment data for a kind of data；
Data grouping is carried out according to the issuing time of a kind of data, obtains packet data collection, the packet data convergence includes one
Class data and two classes data relevant to one kind data；
Each packet data collection is pre-processed, the corresponding data network set of the packet data collection is obtained；
For each packet data collection, its corresponding topic vector set is calculated；
The hot spot data collection of network of the packet data convergence is obtained based on the topic vector set；
Obtain corresponding weight digraph in each hot spot data network；
The weight digraph is analyzed, the hot topic any active ues of the corresponding weight digraph are chosen.
2. the method according to claim 1, wherein described obtain the packet count based on the topic vector set
Include: according to the hot spot data collection of network of concentration
Obtain the temperature attribute of each data network；
According to the doubtful hot spot data network of the temperature attributes extraction；
Obtain the correlation matrix of doubtful hot spot data network；
Obtain the element that numerical value in the correlation matrix is greater than default relevance threshold；
If the element sum is greater than preset heat degree threshold, the doubtful hot spot data network is judged as hot spot data net
Network, to obtain hot spot data collection of network.
3. the method according to claim 1, wherein the construction method of weight digraph includes:
Obtain the sincere degree weight and support weight of hot spot data network each edge；
According to the comprehensive weight on side described in the sincere degree weight and the support weight calculation.
4. according to the method described in claim 3, it is characterized in that, further including the method for quantifying sincerely to spend weight:
Sincere metrization table is constructed, the sincere metrization table includes the corresponding sincere degree power in number of words section and the number of words section
Weight；
Starting user is obtained in each edge to the number of words of the reply of end user；
The number of words section where the number of words is inquired according to the sincere metrization table, and obtains its corresponding sincere degree weight.
5. according to the method described in claim 3, it is characterized in that, further including the method for quantifying support weight:
According to starting user in preset emotion word lists extraction each edge to the target emotion word in the reply of end user；
Obtain the corresponding weight of target emotion word；
Take the total value of the corresponding weight of target complete emotion word as support weight.
6. the method according to claim 1, wherein the choosing method of hot topic any active ues includes:
Simplify weight digraph and obtains target digraph；
The hot value on each vertex in initialized target digraph；
Arbitrarily one vertex of selection calculates institute according to the current temperature of the vertex and each related top for being directed toward the vertex
Temperature after the iteration on vertex is stated, and using temperature after the iteration as the current temperature on the vertex；
Continue to calculate the current temperature on other vertex according to the step above method, until each vertex in the target digraph
Current temperature tends towards stability；
The maximum N number of user of current temperature is chosen as hot topic any active ues.
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| KR20170037709A (en) * | 2015-09-25 | 2017-04-05 | 충북대학교 산학협력단 | Method and System for determination of social network hot topic in consideration of users influence and time |
| CN109063010A (en) * | 2018-07-11 | 2018-12-21 | 成都爱为贝思科技有限公司 | A kind of leader of opinion's method for digging based on PageRank |
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Application publication date: 20190517 |