CN103198078A - Internet news event report trend analysis method and system - Google Patents
Internet news event report trend analysis method and system Download PDFInfo
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- CN103198078A CN103198078A CN2012100048783A CN201210004878A CN103198078A CN 103198078 A CN103198078 A CN 103198078A CN 2012100048783 A CN2012100048783 A CN 2012100048783A CN 201210004878 A CN201210004878 A CN 201210004878A CN 103198078 A CN103198078 A CN 103198078A
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Abstract
The invention discloses an internet news event report trend analysis method and system, and relates to the field of internet information analysis. A conventional news event development trend analysis method can not know the thematic information of news events or can not filter the data sources of news events. The method and the system provided by the invention take a news event which a user concerns as a starting point, carry out preliminary screening of news events in the internet which the user may concerns, according to the feature information of the news event, then analyze and obtain the topics of the news events, then obtain conversion topics according to topics in different periods and the amount of associated information, and at last show the distribution trend of various topics and related reports, which develop along with the passage of time. Through the method and the system, the user can intuitively and conveniently grasp the development tendency and propagation law of internet news events.
Description
Technical field
The present invention relates to the internet information analysis technical field, be specifically related to a kind of internet news event report trend analysis and system.
Background technology
The generation of internet has brought the revolutionary character leap of human circulation way, is becoming the basic communication instrument of information society.Especially when major event took place, increasing people at first obtained information, gives opinion by the internet, and the internet has become the distribution centre of various information and very important important public opinion position.
Be example with Beijing, according to the preliminary statistics, before 2011, nearly 260,000 of the website quantity of internet, Beijing area; Netizen's number reaches 4,020,000 people; At present the website that relates to that Internet news propagates, Beijing area publish approximately every day 30,000 of news, more 300,000 of new post literary compositions, send 3,000 of SMS news; The page browsing amount of all websites every days reaches 1,000,000,000 page numbers, visitor above 100,000,000 person-times.
In sum, internet information is explosive growth, and the user of government, enterprise, each aspect of individual more and more pays close attention to internet information, also wishes simultaneously to find required information quickly and efficiently in the internet.The topic detection technology can analyze theme in real time from magnanimity information, the user just can be by to the browsing and analyzing of theme like this, thereby understands the content in the magnanimity information.
To the analytical approach of known news event development trend, a kind of is the development trend that realizes analyzing media event by global search technology at present, and this kind method can't be understood the subject information of event.Another kind is to realize by the topic detection technology, the Data Source of this kind method all is limited in the information such as news, forum, blog at present, further screening operation is not carried out in the data source, and also in analysis, do not embody the key topic that causes the theme division, and relevant representative hot news information.
Summary of the invention
At the defective that exists in the prior art, technical matters to be solved by this invention provides a kind of internet news event report trend analysis and system, these method and system can be showed the distribution trend that media event develops in time by theme and relevant report number change, and by the hot news theme in thematic relation, reprinting amount and the comment number analysis distribution trend.
In order to solve the problems of the technologies described above, the technical solution used in the present invention is as follows:
A kind of internet news event report trend analysis may further comprise the steps:
(1) according to the characteristic information of the media event that disposes, gathers news information in the internet in real time;
(2) the described news information of pre-service filters out the news information of issuing time in the measurement period of the media event that arranges;
(3) text message of the news information that goes out of Analysis and Screening obtains theme and the subject information of news information; Described theme comprises the theme that has subject information and the source theme that does not have subject information;
(4) analyze the theme of current measurement period and last measurement period, draw same subject between current measurement period and the last measurement period and the related information number of each same subject;
(5) according to described related information number, draw the conversion theme; Described conversion theme refers to that the related information number of current this same subject of measurement period is more than or equal to the related information number of last this same subject of measurement period;
(6) obtain the related information number of the interior source theme of setting-up time section and conversion theme, and represent the related information number distribution trend in time of source theme and conversion theme.
A kind of internet news event report trend analysis system comprises for the information collecting device of gathering the internet news information according to the characteristic information of media event in real time;
Be used for filtering out the data pretreatment unit of the news information of issuing time in the measurement period of the media event that arranges;
Be used for the text message of the news information that Analysis and Screening goes out, obtain the theme of news information and the topic detection device of subject information;
Be used for to analyze and draw the thematic relation analytical equipment of the related information number of same subject between current measurement period and the last measurement period and each same subject;
Be used for the related information number according to same subject between current measurement period and the last measurement period, draw the conversion subject analysis device that transforms theme;
Be used for obtaining and representing the distribution trend demonstration device of the related information number distribution trend in time of the endogenous theme of setting-up time section and conversion theme.
The method of the invention and system, information acquisition, news information cluster, information retrieval system based on internet information, to the media event in the known internet, calculate and analyze related news theme, related news report reprinting amount and the related commentary number thereof of news thing, show the distribution trend that media event develops in time by theme and relevant report number change; And the theme by hot news in thematic relation, reprinting amount and the comment number analysis distribution trend, and represent intuitively with graph mode, make the user understand, grasp the propagation law of internet news event better.
Description of drawings
Fig. 1 is the structured flowchart of internet news event report trend analysis system in the embodiment;
Fig. 2 is the process flow diagram of mutual internet news event report trend analysis in the embodiment.
Embodiment
The present invention is described in further detail below in conjunction with Figure of description and embodiment.
As shown in Figure 1, internet news event report trend analysis system comprises information collecting device 11, data pretreatment unit 12, topic detection device 13, thematic relation analytical equipment 14, transforms subject analysis device 15 and distribution trend demonstration device 16 in the present embodiment.Wherein, data pretreatment unit 12 comprises that data preliminary screening module 121 and data screen module 122 again.
Information collecting device 11 is for the news information of gathering the internet in real time according to the characteristic information of media event.Described characteristic information comprises the logical relation between keyword, keyword weight and the keyword of news information; Described news information comprises text message and review information.
Thematic relation analytical equipment 14 is used for analyzing and draw same subject between current measurement period and the last measurement period and the related information number of each same subject.
Transform the related information number that subject analysis device 15 is used for according to same subject between current measurement period and the last measurement period, draw the conversion theme.
Distribution trend demonstration device 16 is used for obtaining and representing the related information number distribution trend in time of the endogenous theme of setting-up time section and conversion theme.Represent the related information number distribution trend in time of source theme and conversion theme in the present embodiment by scatter diagram, X-axis is represented the time of theme, and Y-axis is represented the related information number of theme.The distribution trend demonstration device represents the related information number distribution trend in time of source theme, comprises representing source theme, the follow-up same subject of source theme, source theme relating subject and source theme subsequent association theme; The distribution trend demonstration device represents the related information number distribution trend in time that transforms theme, comprises transforming theme, transforms the follow-up same subject of theme, transforms representing of theme subsequent association theme.
As shown in Figure 2, adopt the method for the described systematic analysis internet news of Fig. 1 event report trend may further comprise the steps:
(1) information collecting device 11 is gathered the news information in the internet according to the characteristic information of media event.
According to the characteristic information of the media event that disposes, gather news information in the internet in real time.The characteristic information of media event comprises the weight of keyword, keyword and the logical relation between the keyword.Keyword is used for the core keyword of this media event in the present embodiment, and the user can arrange corresponding keyword according to the related news time of own required understanding.The keyword weight represents the status of each keyword in whole keyword sets.Logical relation between the keyword is finished by the logical relation expression formula, comprise and or, non-and between nest relation.
The collection of news information comprises news category text message and news analysis information, gathers to have comprised news information download, analysis, the crucial metadata item of extraction and preservation information.Wherein, the metadata of news information comprises title, text, web site name, channel designation, issuing time; The metadata of news analysis information comprises comment text, comment issuing time and comment author.The principle of selecting of gathering the news information source is big, the influential portal website of flow.In the present embodiment, the information source of collection comprises the news channel of domestic tens of families door websites such as Sina website, sohu.com, Netease's net, www.qq.com, the www.xinhuanet.com, People's Net.Wherein to the review information of news information, adopt real-time incremental update mechanism, but guarantee the review information instantaneous acquiring of up-to-date issue.
Concrete acquisition method can adopt the Chinese patent application document, and application number is 200910217505.2, and name is called " a kind of method and device of gathering based on the directed website web data in internet ".
(2) data pretreatment unit 12 pre-service news informations filter out qualified news information.
The news information that pre-service is gathered filters out the news information of issuing time in the measurement period of set media event.In the present embodiment measurement period of set media event be the same day 16 up to 9 o'clock next day because between the morning 8～9 o'clock, be the time period of domestic main news portal network upgrade news information between afternoon 15～16 o'clock.Arrange 16 up to the timing statistics cycle of 9 o'clock next day, can analyze the news information of nearest issue to the greatest extent.Wherein, the news information method for screening is as follows:
1. to filter out issuing time be Information Monitoring in the media event measurement period to data preliminary screening module 121;
2. data are screened module 122 again and are checked whether the news information that filters out during step 1. exists subject information, if exist then screening is finished, if there is no then further screening is filtered qualified news information by the logical relation between user-defined keyword, the keyword.Further during the qualified Information Monitoring of screening, include only body information, do not comprise news analysis information.
(3) topic detection device 13 is analyzed the text of news information, obtains theme and subject information.
The text message of the news information that 13 Analysis and Screening of topic detection device go out, detect theme, form subject information and preservation, if there is not subject information in news information, then all themes are sorted from high to low by the degree of correlation, keep preceding 10 themes of rank, mark themes as the source theme of event, and preserves theme.
The degree of correlation between the theme can adopt popular and general calculation degree of correlation method at present, and is specifically identical with theme calculation of similarity degree method in the step (4).
(4) thematic relation analytical equipment 14 is analyzed the theme of current measurement period and last measurement period, draws same subject and related information number.
Analyze the theme of current measurement period and last measurement period, draw same subject between current measurement period and the last measurement period and the related information number of each same subject.The related information number refers in current measurement period by the relevant information number in the same subject that calculates.The measurement period of the media event of selecting for use in the present embodiment is two cycles, be respectively the same day 16 up to 9 o'clock next day (current measurement period) and the day before yesterday 16 up at 9 o'clock next day (last measurement period), by the similarity between the theme that calculates current measurement period and last measurement period, analysis draws the relating subject information number of same subject and each same period, carry out mark and preserve other subject information in the superseded current measurement period.
Similarity between the theme can adopt present general-purpose computations similarity based method Jaccard formula:
Wherein x and y represent the center vector of each theme respectively.
One of them theme similarity based method: the x that calculates current statistics theme and last measurement period can represent the center vector of a theme in the last measurement period, y represents the center vector of a theme in the current period, if the similarity value that obtains is higher than predefined similarity threshold values, think that then two themes are relevant.According to theme and the last measurement period calculating similarity of this method to current measurement period, obtain the related subject of a theme in current period theme and the last measurement period with this successively.
(5) transform subject analysis device 15 according to the related information number of same subject between current measurement period and the last measurement period, draw the conversion theme.
Transform theme and refer to that the related information number of current this same subject of measurement period is more than or equal to the theme of the related information number of last this same subject of measurement period.After drawing the conversion theme, the relevant information that transforms in the theme is sorted from high to low by similarity, the highest information of mark similarity represents article for it.
Relevant information similarity in the theme is in the cluster process of the information of carrying out, and calculates.Concrete computing method can adopt general text vector spatial model and similarity calculating method at present, namely represent text model with vector space, finally calculate similarity between two texts by the cosine law.
(6) distribution trend demonstration device 16 obtains theme and the related information number in the setting-up time section and represents.
Obtain source theme and the related information number that transforms theme in the setting-up time section, and represent the related information number distribution trend in time of source theme and conversion theme.In the present embodiment, the mode by scatter diagram represents the distribution trend of media event, and the X-axis of scatter diagram is used for the time of expression theme, and Y-axis is used for the relevant information number of expression theme, and available different colours or shape are distinguished all kinds of themes in scatter diagram.Theme mainly can be divided into two big class themes, and wherein a class is source theme and related subject thereof, comprises source theme, the follow-up same subject of source theme, source theme relating subject and subsequent association theme.Wherein theme follow-up same subject in source refers to that the theme that the n time measurement period analysis draws all is the same subject of its last measurement period, wherein n＞1; Source theme subsequent association theme refers to the relating subject of source theme and the relating subject of the follow-up same subject of source theme.Source theme, the follow-up same subject of source theme, source theme subsequent association theme are used with a kind of color table and are reached.
Another kind of for transform theme, transform the follow-up same subject of theme, and the subsequent association theme that transforms theme use with a kind of color table and reach.Wherein transform the follow-up same subject of theme and refer to suppose that the n time measurement period analysis draws commentaries on classics, changes theme, transforming the theme that the follow-up the n+m time measurement period analysis of theme draw thus all is the same subject of its last measurement period, n＞1 wherein, m＞1.It transforms the relating subject that theme subsequent association theme refers to transform the relating subject of theme and transforms the follow-up same subject of theme.
From above-mentioned embodiment as can be seen: the present invention is based on information acquisition, news information cluster, the information retrieval of internet information, to the media event in the known internet, calculate and analyze related news theme, related news report reprinting amount and the related commentary number thereof of media event.Show the distribution trend that media event develops in time by theme and relevant report number change; And by thematic relation, reprinting amount and comment number analysis hot news theme in distribution trend.
Obviously, those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, if of the present invention these are revised and modification belongs within the scope of claim of the present invention and equivalent technology thereof, then the present invention also is intended to comprise these changes and modification interior.
Claims (13)
1. an internet news event is reported trend analysis, may further comprise the steps:
(1) according to the characteristic information of the media event that disposes, gathers the news information in the internet in real time;
(2) the described news information of pre-service filters out the news information of issuing time in the measurement period of the media event that arranges;
(3) text message of the news information that goes out of Analysis and Screening obtains theme and the subject information of news information; Described theme comprises the theme that has subject information and the source theme that does not have subject information;
(4) analyze the theme of current measurement period and last measurement period, draw same subject between current measurement period and the last measurement period and the related information number of each same subject;
(5) according to described related information number, draw the conversion theme; Described conversion theme refers to that the related information number of current this same subject of measurement period is more than or equal to the related information number of last this same subject of measurement period;
(6) obtain the related information number of the interior source theme of setting-up time section and conversion theme, and represent the related information number distribution trend in time of source theme and conversion theme.
2. internet news event as claimed in claim 1 report trend analysis is characterized in that: in the step (1), described characteristic information comprises the logical relation between keyword, keyword weight and the keyword of news information; Described news information comprises text message and review information; Described keyword weight refers to the status of keyword in whole keyword sets; Logical relation between the described keyword comprise and or, non-and between nest relation, express by the logical relation expression formula.
3. internet news event as claimed in claim 1 report trend analysis is characterized in that: in the step (1), news information comprises the extraction of download to described news information, analysis, metadata in the described collection internet.
4. internet news event as claimed in claim 3 is reported trend analysis, it is characterized in that: described metadata comprises text message metadata and review information metadata, and described text message metadata comprises web site name, channel designation, the issuing time in title, text, source; Described review information metadata comprises comment text, comment issuing time and comment author.
5. as each described internet news event report trend analysis in the claim 1～4, it is characterized in that: in the step (2), the concrete grammar of the news information of described screening issuing time in the measurement period of set media event is as follows:
(a) the screening issuing time is the news information of gathering in the measurement period of media event;
(b) check whether the news information that filters out in the step (a) exists subject information, in this way, then screening is finished, otherwise, filter qualified news information by the keyword of setting, the logical relation between the keyword.
6. internet news event as claimed in claim 5 is reported trend analysis, it is characterized in that: in the step (b), described by setting keyword, when the logical relation between the keyword is filtered qualified news information, include only body information, do not comprise news analysis information.
7. internet news event report trend analysis as claimed in claim 1 is characterized in that: in the step (3), theme is sorted from high to low by the degree of correlation, only keep by N forward source theme of rank in the described relevancy ranking, N 〉=10.
8. internet news event as claimed in claim 1 is reported trend analysis, it is characterized in that: in the step (5), after drawing the conversion theme, the related information that transforms in the theme is sorted from high to low by the similarity with theme, the information that the mark similarity is the highest represents article as it.
9. internet news event as claimed in claim 1 is reported trend analysis, it is characterized in that: in the step (6), represent source theme and the related information number distribution trend in time that transforms theme by scatter diagram, X-axis is represented the time of theme, and Y-axis is represented the related information number of theme.
10. require 1 or 9 described internet news times report trend analysis as claim, it is characterized in that: in the step (6), the described related information number distribution trend in time that represents the source theme comprises representing source theme, the follow-up same subject of source theme, source theme relating subject and source theme subsequent association theme;
The described source follow-up same subject of theme refers to that the theme that the n time measurement period draws all is the same subject of its last measurement period, wherein n＞1; Described source theme relating subject refers to the theme identical with last measurement period; Described source theme subsequent association theme refers to the relating subject of source theme and the relating subject of the follow-up same subject of source theme.
11. require 1 or 9 described internet news times report trend analysis as claim, it is characterized in that: the described related information number distribution trend in time that transforms theme that represents, comprise transforming theme, transform the follow-up same subject of theme, transform representing of theme subsequent association theme;
The follow-up same subject of described conversion theme refers to suppose that the p time measurement period analysis draws the conversion theme, and transforming the theme that the follow-up the p+q time measurement period analysis of theme draw thus all is the same subject of its last measurement period, p＞1 wherein, q＞1; The relating subject that described conversion theme subsequent association theme refers to transform the relating subject of theme and transforms the follow-up same subject of theme.
12. an internet news time report trend analysis system comprises for the information collecting device (11) of gathering the internet news information according to the characteristic information of media event in real time;
Be used for filtering out the data pretreatment unit (12) of the news information of issuing time in the measurement period of the media event that arranges;
Be used for the text message of the news information that Analysis and Screening goes out, obtain the theme of news information and the topic detection device (13) of subject information;
Be used for to analyze and draw the thematic relation analytical equipment (14) of the related information number of same subject between current measurement period and the last measurement period and each same subject;
Be used for the related information number according to same subject between current measurement period and the last measurement period, draw the conversion subject analysis device (15) that transforms theme;
Be used for obtaining and representing the distribution trend demonstration device (16) of the related information number distribution trend in time of the endogenous theme of setting-up time section and conversion theme.
13. internet news time as claimed in claim 12 report trend analysis system is characterized in that: described data pretreatment unit (12) comprises that data preliminary screening module (121) and data screen module (122) again; It is the news information of gathering in the measurement period of media event that described data preliminary screening module (121) is used for the screening issuing time; Described data are screened module (122) again and are used for further news information being screened according to characteristic information when there is not subject information in the news information of data preliminary screening module screening.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104268297A (en) * | 2014-10-28 | 2015-01-07 | 江苏惠居乐信息科技有限公司 | Big data analysis system on basis of news |
| CN104750768A (en) * | 2013-12-30 | 2015-07-01 | 国际商业机器公司 | System for identifying, monitoring and ranking incidents from social media |
| CN105373579A (en) * | 2015-08-18 | 2016-03-02 | 天津大学 | Regression analysis-based news competitiveness analysis method and visualization device |
| CN108763429A (en) * | 2018-05-24 | 2018-11-06 | 成都睿码科技有限责任公司 | A kind of two-dimentional methods of exhibiting of the media event development trend of simulation cell proliferation |
| CN110598151A (en) * | 2019-09-09 | 2019-12-20 | 河南牧业经济学院 | Method and system for judging news spreading effect |
| CN113159363A (en) * | 2020-12-30 | 2021-07-23 | 成都信息工程大学 | Event trend prediction method based on historical news reports |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101231640A (en) * | 2007-01-22 | 2008-07-30 | 北大方正集团有限公司 | Method and system for automatically computing subject evolution trend in the internet |
| WO2010048430A3 (en) * | 2008-10-22 | 2010-07-22 | Fwix, Inc. | System and method for identifying trends in web feeds collected from various content servers |
| CN102073683A (en) * | 2010-12-22 | 2011-05-25 | 四川大学 | Distributed real-time news information acquisition system |
-
2012
- 2012-01-09 CN CN201210004878.3A patent/CN103198078B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101231640A (en) * | 2007-01-22 | 2008-07-30 | 北大方正集团有限公司 | Method and system for automatically computing subject evolution trend in the internet |
| WO2010048430A3 (en) * | 2008-10-22 | 2010-07-22 | Fwix, Inc. | System and method for identifying trends in web feeds collected from various content servers |
| CN102073683A (en) * | 2010-12-22 | 2011-05-25 | 四川大学 | Distributed real-time news information acquisition system |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104750768A (en) * | 2013-12-30 | 2015-07-01 | 国际商业机器公司 | System for identifying, monitoring and ranking incidents from social media |
| CN104750768B (en) * | 2013-12-30 | 2018-01-12 | 国际商业机器公司 | Method and system for identification, monitoring and ranking event from social media |
| CN104268297A (en) * | 2014-10-28 | 2015-01-07 | 江苏惠居乐信息科技有限公司 | Big data analysis system on basis of news |
| CN105373579A (en) * | 2015-08-18 | 2016-03-02 | 天津大学 | Regression analysis-based news competitiveness analysis method and visualization device |
| CN105373579B (en) * | 2015-08-18 | 2018-08-03 | 天津大学 | A kind of news competitiveness analysis method and its visualization device based on regression analysis |
| CN108763429A (en) * | 2018-05-24 | 2018-11-06 | 成都睿码科技有限责任公司 | A kind of two-dimentional methods of exhibiting of the media event development trend of simulation cell proliferation |
| CN110598151A (en) * | 2019-09-09 | 2019-12-20 | 河南牧业经济学院 | Method and system for judging news spreading effect |
| CN110598151B (en) * | 2019-09-09 | 2023-07-14 | 河南牧业经济学院 | Method and system for judging news spreading effect |
| CN113159363A (en) * | 2020-12-30 | 2021-07-23 | 成都信息工程大学 | Event trend prediction method based on historical news reports |
| CN113159363B (en) * | 2020-12-30 | 2022-04-19 | 成都信息工程大学 | Event trend prediction method based on historical news reports |
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