CN103218410A - Internet event analysis method and device - Google Patents
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- CN103218410A CN103218410A CN2013101001100A CN201310100110A CN103218410A CN 103218410 A CN103218410 A CN 103218410A CN 2013101001100 A CN2013101001100 A CN 2013101001100A CN 201310100110 A CN201310100110 A CN 201310100110A CN 103218410 A CN103218410 A CN 103218410A
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Abstract
The invention provides an Internet event analysis method and device. The Internet event analysis method comprises the following steps: obtaining the whole network web access log information of Internet users; filtering the whole network web access log information of the Internet users to obtain the URL (Uniform Resource Locator) information of the websites accessed by normal users among the Internet users; according to the URL information, obtaining the webpage text corresponding to the URL, and extracting hot words from the webpage text; according to the extracted hot words, extracting at least one group of Internet theme events from the obtained webpage text, wherein each group of Internet theme events comprises the changed events of the Internet events with the same theme at different time; and sequencing the changed events in each group of Internet theme events according to time, and obtaining the action and activity information of the Internet events of each theme. According to the Internet event analysis method and device, the related behavior information of the Internet events can be directly obtained, and the public opinion users are correctly guided.
Description
Technical field
The present invention relates to networking technology area, particularly relate to a kind of internet affair analytical method and device.
Background technology
Network public-opinion be propagate by the internet, the public has strong influence power, tendentious speech and a viewpoint to what some focus, focal issue in the actual life were held, mainly by microblogging, BBS forum, blog, news follow-up post, change realization such as subsides and also strengthened.Because the internet has characteristics such as virtual property, disguise, diversity, perviousness and randomness, increasing netizen is willing to express viewpoint, propagate thought by this channel.Network public-opinion is one powerful public opinion strength, can react on focus incident and social development and state of affairs process are produced certain influence.If guiding is not good at, negative network public-opinion will form bigger threat to social public security.
Internet incident on the network is the fundamental that network public-opinion embodies, and is the important link that realizes the network public-opinion management to the management of internet incident.At present, to the management of internet incident mainly is collection to internet incident related content and data, and the angle of the behavior that does not take place from the internet incident is carried out depth analysis, promptly can't deeperly analyze, prevent internet incident development, provide rational counter-measure, thereby internet incident relative is caused damage or harmful effect.
Summary of the invention
The invention provides a kind of internet affair analytical method and device, the internet incident is not analyzed from the angle of the behavior of generation to solve prior art, cause deeperly to analyze, preventing internet incident development, provide the problem of rational counter-measure.
In order to address the above problem, the invention discloses a kind of internet affair analytical method, comprising: the whole network access to netwoks log information that obtains the Internet user; The whole network access to netwoks log information to described Internet user filters, and obtains the information of uniform resource position mark URL of the website of the normal users visit among the described Internet user; According to the information of described URL, obtain the Web page text of described URL correspondence, and described Web page text is carried out the focus speech extract; Described focus speech according to extracting extracts at least one group of internet subject incident from the described Web page text that obtains, wherein, every group of internet subject incident comprises the change events of the internet incident of same theme at different time; To each change events in described every group of internet subject incident according to time sequence, obtain the behavioral activity information of the internet incident of each theme.
Preferably, the step of the whole network access to netwoks log information of the described Internet user of obtaining comprises: by obtaining the mirror image data of backbone network flow, obtain the whole network access to netwoks log information of described Internet user.
Preferably, the whole network access to netwoks log information to described Internet user filters, the step of information of URL of obtaining the website of the normal users visit among the described Internet user comprises: the whole network access to netwoks log information to described Internet user filters, remove the whole network access to netwoks log information of improper user, obtain the whole network access to netwoks log information of described normal users, wherein, described improper user comprise following one of at least: reptile user, improper domain name user, the user that can't discern; According to the whole network access to netwoks log information of described normal users, obtain the information of URL of the website of described normal users visit.
Preferably, describedly described Web page text is carried out the step that the focus speech extracts comprise: described Web page text is carried out phrase divide and extract operation; The word frequency of the phrase that calculating extracts, and judge whether described word frequency satisfies setting threshold; Extract satisfy described setting threshold phrase as described focus speech.
Preferably, described according to the described focus speech that extracts, the step that extracts at least one group of internet subject incident from the described Web page text that obtains comprises: according to the default keyword and the described focus speech of extraction, extract at least one group of internet subject incident from the described Web page text that obtains.
In order to address the above problem, the invention also discloses a kind of internet event analysis apparatus, comprising: first acquisition module is used to obtain the whole network access to netwoks log information of Internet user; Second acquisition module is used for the whole network access to netwoks log information of described Internet user is filtered, and obtains the information of uniform resource position mark URL of the website of the normal users visit among the described Internet user; First extraction module is used for the information according to described URL, obtains the Web page text of described URL correspondence, and described Web page text is carried out the focus speech extract; Second extraction module is used for extracting at least one group of internet subject incident according to the described focus speech that extracts from the described Web page text that obtains, and wherein, every group of internet subject incident comprises the change events of the internet incident of same theme at different time; The 3rd acquisition module is used for to each change events of described every group of internet subject incident according to time sequence obtaining the behavioral activity information of the internet incident of each theme.
Preferably, described first acquisition module is used for by obtaining the mirror image data of backbone network flow, obtains the whole network access to netwoks log information of described Internet user.
Preferably, described second acquisition module, be used for the whole network access to netwoks log information of described Internet user is filtered, remove the whole network access to netwoks log information of improper user, obtain the whole network access to netwoks log information of described normal users, wherein, described improper user comprise following one of at least: reptile user, improper domain name user, the user that can't discern; According to the whole network access to netwoks log information of described normal users, obtain the information of URL of the website of described normal users visit.
Preferably, described first extraction module carries out phrase to described Web page text and divides and extract operation when described Web page text being carried out the extraction of focus speech; The word frequency of the phrase that calculating extracts, and judge whether described word frequency satisfies setting threshold; Extract satisfy described setting threshold phrase as described focus speech.
Preferably, described second extraction module is used for extracting at least one group of internet subject incident according to the default keyword and the described focus speech of extraction from the described Web page text that obtains.
Compared with prior art, the present invention has the following advantages:
The present invention is directed to the internet incident, at first the whole network access to netwoks log information is distinguished and filtered, get rid of improper user's information, keep the information of normal users; And then obtain the URL of normal users access websites according to the information of normal users; Behind the Web page text extraction focus speech to the URL correspondence, carrying out the internet subject incident according to the focus speech extracts, as extracting a series of " room elder sister " incident according to " room elder sister " this focus speech, be classified as one group, each event description in this group the development and change situation of " room elder sister " incident; To each incident in every group of internet subject incident according to time-sequencing, thereby obtain the behavioral activity information of each theme internet incident, as, to each incident in " room elder sister " this theme according to time-sequencing, obtain the information of the development and change situation of this subject events, also the i.e. behavioral activity information of this incident.By the present invention, can directly obtain the information of the correlation behavior of internet incident, thereby can recognize the information of the concrete incident behavior that this internet incident is relevant, be the behavioral activity information that incident is passed in time, and then, the relative of this incident can be analysed in depth this incident according to these information, provide rational countermeasure, public sentiment user with correct this incident of guiding, thereby having solved prior art does not analyze from the angle of the behavior of generation the internet incident, cause and deeperly to analyze, prevent internet incident development, provide the problem of rational counter-measure.
Description of drawings
Fig. 1 is the flow chart of steps according to a kind of internet affair analytical method of the embodiment of the invention one;
Fig. 2 is the flow chart of steps according to a kind of internet affair analytical method of the embodiment of the invention two;
Fig. 3 is the flow chart of steps according to a kind of internet affair analytical method of the embodiment of the invention three;
Fig. 4 is the structured flowchart according to a kind of internet event analysis apparatus of the embodiment of the invention four.
Embodiment
For above-mentioned purpose of the present invention, feature and advantage can be become apparent more, the present invention is further detailed explanation below in conjunction with the drawings and specific embodiments.
Embodiment one
With reference to Fig. 1, show flow chart of steps according to a kind of internet affair analytical method of the embodiment of the invention one.
The internet affair analytical method of present embodiment may further comprise the steps:
Step S102: the whole network access to netwoks log information that obtains the Internet user.
The whole network access to netwoks log information of the Internet user who obtains can be all netizens' an online access log information.
Step S104: the whole network access to netwoks log information to the Internet user filters, and obtains the URL(Uniform Resource Locator of the website of the normal users visit among the user, URL(uniform resource locator)) information.
Step S106: according to the information of URL, obtain the Web page text of URL correspondence, and Web page text is carried out the focus speech extract.
Step S108: the focus speech according to extracting extracts at least one group of internet subject incident from the Web page text that obtains.
Wherein, every group of internet subject incident comprises the change events of the internet incident of same theme at different time, as, " room elder sister " incident is at the change events of the development and change of different time.
Step S110: to each change events in every group of internet subject incident according to time sequence, obtain the behavioral activity information of the internet incident of each theme.
Wherein, behavioral activity information can reflect the development and change situation that incident is passed in time.
By present embodiment, at the internet incident, at first the whole network access to netwoks log information is distinguished and filtered, get rid of improper user's information, keep the information of normal users; And then obtain the URL of normal users access websites according to the information of normal users; Behind the Web page text extraction focus speech to the URL correspondence, carry out the internet subject incident according to the focus speech and extract; To each incident in every group of internet subject incident according to time-sequencing, thereby obtain the behavioral activity information of each theme internet incident.Pass through present embodiment, can directly obtain the information of the correlation behavior of internet incident, thereby can recognize the information of the concrete incident behavior that this internet incident is relevant, be the behavioral activity information that incident is passed in time, and then, the relative of this incident can be analysed in depth this incident according to these information, provide rational countermeasure, public sentiment user with correct this incident of guiding, thereby having solved prior art does not analyze from the angle of the behavior of generation the internet incident, cause and deeperly to analyze, prevent internet incident development, provide the problem of rational counter-measure.
Embodiment two
With reference to Fig. 2, show flow chart of steps according to a kind of internet affair analytical method of the embodiment of the invention two.
The internet affair analytical method of present embodiment may further comprise the steps:
Step S202:, obtain the whole network access to netwoks log information of Internet user by obtaining the mirror image data of backbone network flow.
Obtaining of the whole network access to netwoks log information of user can adopt any suitable mode to obtain according to actual conditions by those skilled in the art, in the present embodiment, by obtaining the mirror image data of backbone network flow, obtain the whole network access to netwoks log information of user, can guarantee the information obtained comprehensively and effectively.
Step S204: the whole network access to netwoks log information to the Internet user filters, and obtains the information of URL of the website of the normal users visit among the user.
The whole network access to netwoks log information to the Internet user filters, and can filter out dirty data, mainly comprises improper user's data, and improper user can comprise reptile user, improper domain name user, the user that can't discern usually.
In the present embodiment, the whole network access to netwoks log information to the Internet user filters, remove the whole network access to netwoks log information of improper user, obtain the whole network access to netwoks log information of normal users, wherein, improper user comprise following one of at least: reptile user, improper domain name user, the user that can't discern; Then, according to the whole network access to netwoks log information of normal users, obtain the information of URL of the website of normal users visit.
Step S206:, obtain the Web page text of URL correspondence according to the information of URL.
Step S208: Web page text is carried out the focus speech extract.
In the present embodiment, this step comprises: Web page text is carried out phrase divide and extract operation; The word frequency of the phrase that calculating extracts, and judge whether this word frequency satisfies setting threshold; Extract satisfy setting threshold phrase as the focus speech.
Wherein, the phrase division and the extraction of Web page text are operated and can with reference to the correlation technique realization, also can be carried out phrase division and extraction by means of third party's application and software by those skilled in the art according to any suitable mode of actual conditions employing.In addition, setting threshold can suitably be provided with by those skilled in the art, and the present invention does not limit this.
Step S210: the focus speech according to extracting extracts at least one group of internet subject incident from the Web page text that obtains.
Wherein, every group of internet subject incident comprises the change events of the internet incident of same theme at different time.For example, " room elder sister " subject events comprises the change events of a series of different times, as begins disclosed incident, then by detailed disclosed incident, investigated then incident is at last by the change events of a series of these subject eventses as time passes of the incident how to handle or the like.
Preferably, can also from the Web page text that obtains, extract at least one group of internet subject incident according to the default keyword and the focus speech of extraction.This be because, if preset keyword, then can extract incident more fast all sidedly in conjunction with the focus speech that extracts, be event packets.
Step S212: to each change events in every group of internet subject incident according to time sequence, obtain the behavioral activity information of the internet incident of each theme.
Each change events in one group of internet subject incident all has the time of generation, with these change events according to time sequence, can obtain the behavioral activity information of a subject events, obtains the development and change situation that this subject events is passed in time.
Pass through present embodiment, can directly obtain the information of the correlation behavior of internet incident, thereby can recognize the information of the concrete incident behavior that this internet incident is relevant, be the behavioral activity information that incident is passed in time, and then, the relative of this incident can be analysed in depth this incident according to these information, provides rational countermeasure, with the public sentiment user of correct this incident of guiding.
Embodiment three
With reference to Fig. 3, show flow chart of steps according to a kind of internet affair analytical method of the embodiment of the invention three.
The internet affair analytical method of present embodiment may further comprise the steps:
Step S302: the whole network access to netwoks log information that obtains the Internet user.
The whole network access to netwoks log information of Internet user may be striden a plurality of networks, in this step, can be by obtaining the mirror image flow of backbone network, i.e. the mirror image data of backbone network flow, thus obtain the whole network access to netwoks log information of internet user access the whole network.
Step S304: filter out the dirty data that comprises improper user's access data, obtain the URL of the website of normal users visit.
As, filter out reptile user, improper domain name user or the whole network access to netwoks log information of the user that can't discern.Filtered data mainly comprises the information of the URL of the website that normal users is visited.The information that preferably, can also comprise UID, access time and area.Wherein, UID is user ID (sign), in order to the mark user name; Access time and area are used for identifying user to the access time of certain URL and the area at this user place.
Step S306: the URL according to the website of normal users visit, obtain the website visiting content, carry out Web page text extracting.
Step S308: with the content of the Web page text that extracts analyze, participle, extract phrase and calculate the word frequency of phrase, extract the focus speech according to setting threshold.
Also promptly, Web page text is analyzed, phrase is divided and is extracted, and calculates the word frequency of the phrase that extracts afterwards, and the phrase that word frequency is satisfied setting threshold is as the focus speech.
Step S310:, extract the internet subject incident of many group different themes according to focus speech, predefined keyword.
Wherein, the internet subject incident of every group of theme comprises a series of relevant incident of this theme.
Step S312: with the incident is benchmark, and the dependent event in every group of internet subject incident is counted list of thing, and according to time sequence, draws the behavioral activity tabulation of each subject events.
Above-mentioned steps is all carried out in the website of all normal users visits, finally forms the website incident behavior relation an of the whole network.
Pass through present embodiment, a kind of scheme that corresponding behavior is analyzed to the internet incident is provided, can dig according to internet incident concrete behavior action message behind, can directly provide the information of internet event correlation behavior by this scheme, thereby can recognize the information of the relevant concrete incident behavior of internet incident, i.e. the incident behavioral activity information of passing in time.
Embodiment four
With reference to Fig. 4, show structured flowchart according to a kind of internet event analysis apparatus of the embodiment of the invention four.
The internet event analysis apparatus of present embodiment comprises: first acquisition module 402 is used to obtain the whole network access to netwoks log information of Internet user; Second acquisition module 404 is used for the whole network access to netwoks log information of Internet user is filtered, and obtains the information of URL of the website of the normal users visit among the Internet user; First extraction module 406 is used for the information according to URL, obtains the Web page text of URL correspondence, and Web page text is carried out the focus speech extract; Second extraction module 408 is used for extracting at least one group of internet subject incident according to the focus speech that extracts from the Web page text that obtains, and wherein, every group of internet subject incident comprises the change events of the internet incident of same theme at different time; The 3rd acquisition module 410 is used for to each change events of every group of internet subject incident according to time sequence obtaining the behavioral activity information of the internet incident of each theme.
Preferably, first acquisition module 402 is used for by obtaining the mirror image data of backbone network flow, obtains the whole network access to netwoks log information of Internet user.
Preferably, second acquisition module 404, be used for the whole network access to netwoks log information of Internet user is filtered, remove the whole network access to netwoks log information of improper user, obtain the whole network access to netwoks log information of normal users, wherein, improper user comprise following one of at least: reptile user, improper domain name user, the user that can't discern; According to the whole network access to netwoks log information of normal users, obtain the information of URL of the website of normal users visit.
Preferably, first extraction module 406 carries out phrase to Web page text and divides and extract operation when Web page text being carried out the extraction of focus speech; The word frequency of the phrase that calculating extracts, and judge whether word frequency satisfies setting threshold; Extract satisfy setting threshold phrase as the focus speech.
Preferably, second extraction module 408 is used for extracting at least one group of internet subject incident according to the default keyword and the focus speech of extraction from the Web page text that obtains.
The internet event analysis apparatus of present embodiment is used for realizing the corresponding internet of aforementioned a plurality of method embodiment affair analytical method, and has the beneficial effect of corresponding method embodiment, does not repeat them here.
Each embodiment in this instructions all adopts the mode of going forward one by one to describe, and what each embodiment stressed all is and the difference of other embodiment that identical similar part is mutually referring to getting final product between each embodiment.For device embodiment, because it is similar substantially to method embodiment, so description is fairly simple, relevant part gets final product referring to the part explanation of method embodiment.
More than a kind of internet affair analytical method provided by the present invention and device are described in detail, used specific case herein principle of the present invention and embodiment are set forth, the explanation of above embodiment just is used for helping to understand method of the present invention and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, the part that all can change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (10)
1. an internet affair analytical method is characterized in that, comprising:
Obtain the whole network access to netwoks log information of Internet user;
The whole network access to netwoks log information to described Internet user filters, and obtains the information of uniform resource position mark URL of the website of the normal users visit among the described Internet user;
According to the information of described URL, obtain the Web page text of described URL correspondence, and described Web page text is carried out the focus speech extract;
Described focus speech according to extracting extracts at least one group of internet subject incident from the described Web page text that obtains, wherein, every group of internet subject incident comprises the change events of the internet incident of same theme at different time;
To each change events in described every group of internet subject incident according to time sequence, obtain the behavioral activity information of the internet incident of each theme.
2. method according to claim 1 is characterized in that, the step of the whole network access to netwoks log information of the described Internet user of obtaining comprises:
By obtaining the mirror image data of backbone network flow, obtain the whole network access to netwoks log information of described Internet user.
3. method according to claim 1 is characterized in that, the whole network access to netwoks log information of described Internet user is filtered, and the step of information of URL of obtaining the website of the normal users visit among the described Internet user comprises:
The whole network access to netwoks log information to described Internet user filters, remove the whole network access to netwoks log information of improper user, obtain the whole network access to netwoks log information of described normal users, wherein, described improper user comprise following one of at least: reptile user, improper domain name user, the user that can't discern;
According to the whole network access to netwoks log information of described normal users, obtain the information of URL of the website of described normal users visit.
4. method according to claim 1 is characterized in that, describedly described Web page text is carried out the step that the focus speech extracts comprises:
Described Web page text is carried out phrase divide and extract operation;
The word frequency of the phrase that calculating extracts, and judge whether described word frequency satisfies setting threshold;
Extract satisfy described setting threshold phrase as described focus speech.
5. method according to claim 1 is characterized in that, described according to the described focus speech that extracts, the step that extracts at least one group of internet subject incident from the described Web page text that obtains comprises:
According to the default keyword and the described focus speech of extraction, from the described Web page text that obtains, extract at least one group of internet subject incident.
6. an internet event analysis apparatus is characterized in that, comprising:
First acquisition module is used to obtain the whole network access to netwoks log information of Internet user;
Second acquisition module is used for the whole network access to netwoks log information of described Internet user is filtered, and obtains the information of uniform resource position mark URL of the website of the normal users visit among the described Internet user;
First extraction module is used for the information according to described URL, obtains the Web page text of described URL correspondence, and described Web page text is carried out the focus speech extract;
Second extraction module is used for extracting at least one group of internet subject incident according to the described focus speech that extracts from the described Web page text that obtains, and wherein, every group of internet subject incident comprises the change events of the internet incident of same theme at different time;
The 3rd acquisition module is used for to each change events of described every group of internet subject incident according to time sequence obtaining the behavioral activity information of the internet incident of each theme.
7. device according to claim 6 is characterized in that, described first acquisition module is used for by obtaining the mirror image data of backbone network flow, obtains the whole network access to netwoks log information of described Internet user.
8. device according to claim 6, it is characterized in that, described second acquisition module, be used for the whole network access to netwoks log information of described Internet user is filtered, remove the whole network access to netwoks log information of improper user, obtain the whole network access to netwoks log information of described normal users, wherein, described improper user comprise following one of at least: reptile user, improper domain name user, the user that can't discern; According to the whole network access to netwoks log information of described normal users, obtain the information of URL of the website of described normal users visit.
9. device according to claim 6 is characterized in that, described first extraction module carries out phrase to described Web page text and divides and extract operation when described Web page text being carried out the extraction of focus speech; The word frequency of the phrase that calculating extracts, and judge whether described word frequency satisfies setting threshold; Extract satisfy described setting threshold phrase as described focus speech.
10. device according to claim 6 is characterized in that, described second extraction module is used for extracting at least one group of internet subject incident according to the default keyword and the described focus speech of extraction from the described Web page text that obtains.
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