CN104462096B - Public sentiment method for monitoring and analyzing and device - Google Patents

Public sentiment method for monitoring and analyzing and device Download PDF

Info

Publication number
CN104462096B
CN104462096B CN201310418664.5A CN201310418664A CN104462096B CN 104462096 B CN104462096 B CN 104462096B CN 201310418664 A CN201310418664 A CN 201310418664A CN 104462096 B CN104462096 B CN 104462096B
Authority
CN
China
Prior art keywords
public sentiment
client
sentiment data
application condition
assets information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201310418664.5A
Other languages
Chinese (zh)
Other versions
CN104462096A (en
Inventor
刘巨安
梁汝锋
杨建武
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
New Founder Holdings Development Co ltd
Peking University
Beijing Founder Electronics Co Ltd
Original Assignee
Peking University
Peking University Founder Group Co Ltd
Beijing Founder Electronics Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Peking University, Peking University Founder Group Co Ltd, Beijing Founder Electronics Co Ltd filed Critical Peking University
Priority to CN201310418664.5A priority Critical patent/CN104462096B/en
Publication of CN104462096A publication Critical patent/CN104462096A/en
Application granted granted Critical
Publication of CN104462096B publication Critical patent/CN104462096B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

The present invention provides a kind of public sentiment method for monitoring and analyzing and device.Wherein method includes:Obtaining the public sentiment data on each Website server, public sentiment data in internet includes at least one assets information;The acquisition request that client is sent is received, obtains and application condition and client identification is carried in request;The assets information included by public sentiment data is screened according to application condition, obtains the target public sentiment data matched with application condition;Target public sentiment data is sent to by client according to client identification, network resources waste big the problem of high so as to solve public sentiment monitoring analysis system hardware cost of the prior art.

Description

Public sentiment method for monitoring and analyzing and device
Technical field
The present invention relates to field of computer technology, more particularly to a kind of public sentiment method for monitoring and analyzing and device.
Background technology
In the prior art, a set of public sentiment monitoring analysis system is established for each user, public sentiment monitoring analysis system is mutual Acquisition system is disposed respectively on each Website server in networking, gathers the public sentiment data on each Website server, and it is right The public sentiment data collected is analyzed, and obtains the public sentiment data of user's needs.
But in the prior art, if multiple users are required to the public sentiment data on some websites server, each user Corresponding public sentiment monitoring analysis system is required to dispose acquisition system on the Website server, gathers on the Website server Public sentiment data, so as to add hardware cost, and cause network resources waste.
The content of the invention
The present invention provides a kind of public sentiment method for monitoring and analyzing and device, for solving public sentiment monitoring analysis system in the prior art The problem of hardware cost of uniting is high, and network resources waste is big.
The first aspect of the invention is to provide a kind of public sentiment method for monitoring and analyzing, including:
The public sentiment data on each Website server in internet is obtained, the public sentiment data is believed including at least one assets Breath;
The acquisition request that client is sent is received, described obtain carries application condition and client identification in request;
The assets information included by the public sentiment data is screened according to the application condition, obtained and the application The target public sentiment data of condition coupling;
The target public sentiment data is sent to by the client according to the client identification.
Another aspect of the present invention provides a kind of public sentiment device for monitoring and analyzing, including:
Acquisition module, for obtaining the public sentiment data in internet on each Website server, the public sentiment data is included extremely A few assets information;
Receiving module, for receiving the acquisition request of client transmission, described obtain carries application condition and visitor in request Family end identifies;
Screening module, for being screened according to the application condition to the assets information included by the public sentiment data, Obtain the target public sentiment data matched with the application condition;
Sending module, for the target public sentiment data to be sent into the client according to the client identification.
The present invention includes at least one money by obtaining the public sentiment data in internet on each Website server, public sentiment data Information is produced, public sentiment data is screened according to the application condition of client, obtains the target public sentiment number matched with application condition According to, and the target public sentiment data that the application condition with client matches is sent to client so that client can direct root Handled according to target public sentiment data, so as to reduce the hardware cost of public sentiment monitoring analysis system in the prior art, reduced The waste of Internet resources.
Brief description of the drawings
Fig. 1 is the flow chart of public sentiment method for monitoring and analyzing one embodiment provided by the invention;
Fig. 2 is the thread that data uploading process is parsed to txt formatted files;
Fig. 3 is the thread that data uploading process is screened to assets information;
Fig. 4 is the structural representation of public sentiment monitoring device one embodiment provided by the invention.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is Part of the embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
Fig. 1 is the flow chart of public sentiment method for monitoring and analyzing one embodiment provided by the invention, as shown in figure 1, including:
101st, the public sentiment data in internet on each Website server is obtained, public sentiment data is believed including at least one assets Breath.
Wherein, public sentiment method for monitoring and analyzing provided by the invention can be performed by public sentiment device for monitoring and analyzing, public sentiment monitoring The specific manifestation form of analytical equipment can be data center systems.Data center systems can specifically be located at certain in internet On individual server, for obtaining corresponding to the public sentiment data of the acquisition system being deployed in internet on each Website server collection Assets information, and the system that the target public sentiment data that the application condition with client matches is sent to client.Website service Implement body can be the Website servers such as news, forum, blog, microblogging.
Public sentiment data refers to rapid propagation on the internet, forms a kind of public opinion, develops into the viewpoint number of public sentiment According to.These viewpoint data are some events that numerous netizens are directed on internet, are showed emotion by client, attitude, viewpoint Data.Every assets information in public sentiment data can include:Text and additional information, additional information include:Website, frequency At least one of road, issuing time, hits and money order receipt to be signed and returned to the sender number parameter.Wherein, website and channel, refer to client as number According to applicant, to channel corresponding to the website where the public sentiment data of data center systems application and the public sentiment data of application. That is customer end A can apply for public sentiment data corresponding to some channel of some websites.Data center systems can be by client The public sentiment data of end A applications is pushed to customer end A.In addition, public sentiment data be further divided into it is main patch catalogue file and from patch catalogue File, wherein, it is main patch catalogue file and from patch catalogue file be each Website server according to post information generate, main patch catalogue File refers to the main patch information in news or forum, and money order receipt to be signed and returned to the sender corresponding to main patch information in forum is referred to from patch catalogue file Information.
Specifically, data center systems are uniformly got on internet after the public sentiment data of each Website server, will be obtained Public sentiment data be saved in the txt formatted files of standard in the database of data center systems, such as Zookeeper, Map Reduce, HDFS, HBase and Hadoop Core databases, using the data uploading process in data center systems to txt Formatted file is parsed, i.e., is identified using data uploading process according to corresponding to text, website and channel from txt formatted files In extract text, website and channel, so as to obtain at least one assets information, an assets information can include title, just Text, issuing time, author, channel, website, hits and money order receipt to be signed and returned to the sender number etc..One assets information can be one in internet Metadata, such as a piece of news.The news of interconnection Web realease has the attributes such as title, text, time, author.Data upload journey These Parameter analysis of electrochemical out can be deposited into the database of data center systems by sequence.
Wherein, data uploading process is parsed to txt formatted files thread as shown in Fig. 2 including:Read main patch mesh File is recorded, obtains each file in main patch catalogue file successively, by the file and data center systems in main patch catalogue file The document queue of reading be compared, judge it is main patch catalogue file in file whether read, by it is main patch catalogue file in Read filename to be saved in the document queue of reading in data center systems, the filename of not reading in main patch catalogue file is preserved Do not read into data center systems in document queue;Each file do not read in document queue is parsed, will be parsed Obtained assets information is stored to the main patch memory queue in data center systems(read Assets Map)In, it will not read file The filename of file corresponding with the assets information is removed in queue.The number of assets information exceedes pre- in main patch memory queue If first threshold when, the file in main patch memory queue is screened, is distributed to each client, empties main patch internal memory team Row, it is then followed by not reading the file in document queue described in parsing, the assets information that parsing obtains is stored to data center systems In main patch memory queue, untill the All Files do not read in document queue is all parsed.To main patch mesh During record file is parsed, other threads can also be opened, while to literary from patch catalogue corresponding to main patch catalogue file Part is parsed.It is file name that wherein read Assets Map, which include key and value, key, and value is assets information.
102nd, the acquisition request that client is sent is received, obtains and application condition and client identification is carried in request.
Wherein, when assets information includes:Text and additional information, additional information include:Website, channel, issuing time, point When hitting number and at least one of money order receipt to be signed and returned to the sender number parameter, data center systems can receive application condition that client sends it Before, the additional information in each bar assets information is sent to client, so that client is additional in each bar assets information Information determines the parameter in application condition.For example, when additional information includes website and channel, application condition can include:Net Stand and/or channel.For example, when additional information includes website, channel, issuing time, hits and money order receipt to be signed and returned to the sender number, application condition It can include:Website, channel, issuing time, hits and money order receipt to be signed and returned to the sender number.Wherein, the website in application condition can be at least one The address of individual Website server or title, issuing time are specifically as follows time point or period, and hits and money order receipt to be signed and returned to the sender number are specific It can be number range.
Optionally, if data center systems are not received by the acquisition request of client transmission, data center systems can be with The public sentiment data matched with focus website and/or focus channel is sent to client.Data center systems can also will click on The public sentiment data that number or money order receipt to be signed and returned to the sender number exceed preset times is sent to client.Optionally, focus website can be client Apply for that quantity exceedes the website of default website threshold value, focus channel can be that the application quantity of client exceedes channel predetermined threshold value Channel.
103rd, the assets information included by public sentiment data is screened according to application condition, acquisition matches with application condition Target public sentiment data.
Further, in order to reduce network resources waste, data center systems can also be filtered to assets information, subtracted Few target public sentiment data, therefore before step 103, data center systems can also judge assets information according to default keyword Whether it is advertising message;When assets information is advertising message, assets information is filtered.
Specifically, dictionary can be configured in data center systems, dictionary includes default keyword, data center systems It may determine that and whether there is default keyword in the title or text of assets information;If exist in the text of assets information default Keyword, then assets information is defined as advertising message;The assets information for being defined as advertising message is filtered.
In addition, it can also include in assets information:Title and author;Data center systems can be in assets information just When default keyword be present in text, title or author, assets information is defined as advertising message;To being defined as advertising message Assets information is filtered.
Wherein, data center systems can find rule, Entity recognition rule, sensitivity according to sensitive recognition rule, hot word Word recommendation etc. is adjusted to default keyword in database;Default keyword can be according to intelligent key in database The classifications such as word, intelligence summary are stored;Data center systems can use hybrid index, similarity indexing, range retrieval, unisonance The modes such as synonymous retrieval are retrieved to assets information, obtain the assets information for including default keyword.
Further, before step 103, data center systems can be inquired about in public sentiment data extremely according to application condition A few assets information, it is determined that the desired asset information including application condition;Client identification is defined as desired asset information Corresponding mark;
Corresponding, step 103 is specifically as follows:The assets information included by public sentiment data is carried out according to client identification Screening, obtain the target public sentiment data matched with application condition.
Specifically, when application condition includes the parameters such as website, channel, issuing time, hits and money order receipt to be signed and returned to the sender number, data Intellectual analysis service in centring system can be according to the website in the application condition that client is sent, channel, issuing time, point The feature vocabulary such as number and money order receipt to be signed and returned to the sender number are hit, are labeled.Such as a certain client is configured with some vocabulary, intellectual analysis service can be with Whether the above-mentioned vocabulary of client configuration is included in queries asset information, i.e. whether assets information meets the application slip of client Part.If assets information meets the application condition of client, stamp the mark of client for the assets information, screening sequence according to Marked corresponding to assets information, judge which client the assets information should be sent to, assets information is stored in client In corresponding catalogue, that is, complete the screening to the assets information.
Wherein, data uploading process is screened to assets information thread as shown in figure 3, including:
Read it is main patch memory queue and from patch memory queue in assets information;Judge to whether there is in main patch memory queue Assets information, if in the presence of the assets information of taking-up fixed strip number from main patch memory queue, it is determined whether need to call intelligence to think Service, i.e., whether the assets information of fixed strip number all corresponds to specific client identification, if assets information is not corresponding specific Client identification, then call intelligence to think service, i.e., website in the application condition of each client and every assets information, Channel, issuing time, hits and money order receipt to be signed and returned to the sender number determine to need the client of this assets information;Circulate the assets letter of fixed strip number Breath, each bar assets information is saved in the client of needs this assets information by client identification according to corresponding to assets information In main patch queue, and the assets information in main patch memory queue is accordingly deleted, and corresponding delete in parsing thread has read file Filename in queue;If assets information is not present in main patch memory queue, judge from patch memory queue with the presence or absence of money Information is produced, if in the presence of, using the method similar with main patch memory queue to being handled from the assets information of patch memory queue, by Assets information be saved in need this assets information client from patch queue in, and accordingly delete from patch memory queue in Assets information, and corresponding delete the filename read in parsing thread in document queue;If also do not deposited from patch memory queue In assets information, then etc. thread storage assets information to be resolved continues to read to main patch memory queue or after memory queue is pasted It is main to paste memory queue and from the assets information in patch memory queue, continue to handle.Wherein, in the data of data center systems Multiple screening threads can be started by carrying program(dist User Thread)To it is multiple it is main patch memory queues and from patch memory queue Handled simultaneously.
104th, target public sentiment data is sent to by client according to client identification.
Before target public sentiment data is sent to client by data center systems, target public sentiment data can also be pressed Contracting, reduce the data volume of target public sentiment data, further reduce network resources waste.
Before target public sentiment data is sent to client by data center systems, it can also count in target public sentiment data Websites quantity, and the quantity of the target public sentiment data got from each website is counted, by target public sentiment data, Websites quantity Client is sent to the quantity of the target public sentiment data got from each website.
Wherein, target public sentiment data is sent to the output thread of client and included by data center systems:Reading client Queue in main patch queue, if it is main patch queue in assets information be present, circulate main patch queue, by it is main patch queue in assets Information is written in the temporary file of client, newly-built another to face when the size of temporary file exceedes default Second Threshold When file, assets information is written in another temporary file of client.
In addition, the priority parameters of client can also be preserved in data center systems, if for example, the priority of client For 1 grade, then the public sentiment data of 1000 home Web sites before ranking in target public sentiment data can be sent to client by data center systems End, if the priority of client is 2 grades, data center systems can be by 500 home Web sites before ranking in target public sentiment data Public sentiment data is sent to client, so as to further reduce network resources waste.
Client can be handled target public sentiment data after target public sentiment data is received, such as statistical unit Assets information amount in time, obtains time change situation of assets information amount etc..Client can also be according to rule, topic Deng obtaining the related assets information of the rule of user's care, topic.For example, if user is concerned about that numerous netizens readjust prices to taxi Reaction, then client topic can be arranged to taxi price adjustment, obtain the assets information related to taxi price adjustment, according to The assets information related to taxi price adjustment, determines the reaction that numerous netizens readjust prices to taxi, then according to numerous netizens' Reaction, it is determined whether to readjust prices to taxi, or the price adjustment to taxi is modified.
In the present embodiment, by obtaining the public sentiment data in internet on each Website server, public sentiment data is included at least One assets information, is screened according to the application condition of client to public sentiment data, obtains the target matched with application condition Public sentiment data, and the target public sentiment data that the application condition with client matches is sent to client so that client can be with Directly handled according to target public sentiment data, so as to reduce the hardware cost of public sentiment monitoring analysis system in the prior art, Reduce the waste of Internet resources.
One of ordinary skill in the art will appreciate that:Realizing all or part of step of above-mentioned each method embodiment can lead to The related hardware of programmed instruction is crossed to complete.Foregoing program can be stored in a computer read/write memory medium.The journey Sequence upon execution, execution the step of including above-mentioned each method embodiment;And foregoing storage medium includes:ROM, RAM, magnetic disc or Person's CD etc. is various can be with the medium of store program codes.
Fig. 4 is the structural representation of public sentiment monitoring device one embodiment provided by the invention, as shown in figure 4, including:
Acquisition module 41, for obtaining the public sentiment data in internet on each Website server, the public sentiment data includes At least one assets information;
Receiving module 42, for receive client transmission acquisition request, it is described obtain request in carry application condition and Client identification;
Screening module 43, for being sieved according to the application condition to the assets information included by the public sentiment data Choosing, obtain the target public sentiment data matched with the application condition;
Sending module 44, for the target public sentiment data to be sent into the client according to the client identification.
Further, the assets information includes:Text and additional information, the additional information include:Website, channel, At least one of issuing time, hits and money order receipt to be signed and returned to the sender number parameter;
The sending module 44 is additionally operable to, will before the acquisition request that the receiving module 42 receives that client is sent Additional information in each bar assets information is sent to the client, so that the client is attached in each bar assets information Information is added to determine the parameter in the application condition.
Further, in order to reduce network resources waste, public sentiment device for monitoring and analyzing can also be carried out to assets information Filtering, reduces target public sentiment data, and the public sentiment device for monitoring and analyzing can also include:Judge module and filtering module;
The judge module, in the screening module according to the application condition to included by the public sentiment data Before assets information is screened, judge whether the assets information is advertising message according to default keyword;
The filtering module, for when the assets information is advertising message, being filtered to the assets information.
Yet further, the screening module 43 is additionally operable to, in the screening module 43 according to the application condition to institute State before the assets information included by public sentiment data screened, inquired about according to the application condition in the public sentiment data extremely A few assets information, it is determined that the desired asset information including the application condition;
The client identification is defined as mark corresponding to the desired asset information;
The screening module is specifically used for, according to the client identification to the assets information included by the public sentiment data Screened, obtain the target public sentiment data matched with the application condition.
In the present embodiment, by obtaining the public sentiment data in internet on each Website server, public sentiment data is included at least One assets information, is screened according to the application condition of client to public sentiment data, obtains the target matched with application condition Public sentiment data, and the target public sentiment data that the application condition with client matches is sent to client so that client can be with Directly handled according to target public sentiment data, so as to reduce the hardware cost of public sentiment monitoring analysis system in the prior art, Reduce the waste of Internet resources.
Finally it should be noted that:Various embodiments above is merely illustrative of the technical solution of the present invention, rather than its limitations;To the greatest extent The present invention is described in detail with reference to foregoing embodiments for pipe, it will be understood by those within the art that:Its according to The technical scheme described in foregoing embodiments can so be modified, either which part or all technical characteristic are entered Row equivalent substitution;And these modifications or replacement, the essence of appropriate technical solution is departed from various embodiments of the present invention technology The scope of scheme.

Claims (6)

  1. A kind of 1. public sentiment method for monitoring and analyzing, it is characterised in that including:
    Obtaining the public sentiment data on each Website server, the public sentiment data in internet includes at least one assets information;
    The acquisition request that client is sent is received, described obtain carries application condition and client identification in request;
    The assets information included by the public sentiment data is screened according to the application condition, obtained and the application condition The target public sentiment data of matching;
    The target public sentiment data is sent to by the client according to the client identification;
    Wherein, the assets information includes:Text and additional information, the additional information include:Website, channel, issuing time, At least one of hits and money order receipt to be signed and returned to the sender number parameter;
    Before the acquisition request for receiving client and sending, in addition to:
    Additional information in each bar assets information is sent to the client, so that the client is according to each bar assets information In additional information determine parameter in the application condition.
  2. 2. according to the method for claim 1, it is characterised in that it is described according to the application condition to the public sentiment data institute Including assets information screened, before obtaining the target public sentiment data that is matched with the application condition, in addition to:
    Judge whether the assets information is advertising message according to default keyword;
    When the assets information is advertising message, the assets information is filtered.
  3. 3. method according to claim 1 or 2, it is characterised in that it is described according to the application condition to the public sentiment number Screened according to included assets information, before obtaining the target public sentiment data matched with the application condition, in addition to:
    At least one assets information inquired about according to the application condition in the public sentiment data, it is determined that including the application condition Desired asset information;
    The client identification is defined as mark corresponding to the desired asset information;
    It is described that the assets information included by the public sentiment data is screened according to the application condition, obtain and the application The target public sentiment data of condition coupling, including:
    The assets information included by the public sentiment data is screened according to the client identification, obtained and the application slip The target public sentiment data of part matching.
  4. A kind of 4. public sentiment device for monitoring and analyzing, it is characterised in that including:
    Acquisition module, for obtaining the public sentiment data in internet on each Website server, the public sentiment data includes at least one Bar assets information;
    Receiving module, for receiving the acquisition request of client transmission, described obtain carries application condition and client in request Mark;
    Screening module, for being screened according to the application condition to the assets information included by the public sentiment data, obtain The target public sentiment data matched with the application condition;
    Sending module, for the target public sentiment data to be sent into the client according to the client identification;
    Wherein, the assets information includes:Text and additional information, the additional information include:Website, channel, issuing time, At least one of hits and money order receipt to be signed and returned to the sender number parameter;
    The sending module is additionally operable to, before the acquisition request that the receiving module receives that client is sent, by each bar assets Additional information in information is sent to the client, so that additional information of the client in each bar assets information is true Parameter in the fixed application condition.
  5. 5. device according to claim 4, it is characterised in that also include:Judge module and filtering module;
    The judge module, in the screening module according to the application condition to the assets included by the public sentiment data Before information is screened, judge whether the assets information is advertising message according to default keyword;
    The filtering module, for when the assets information is advertising message, being filtered to the assets information.
  6. 6. the device according to claim 4 or 5, it is characterised in that the screening module is additionally operable to, in the screening module Before being screened according to the application condition to the assets information included by the public sentiment data, looked into according to the application condition At least one assets information in the public sentiment data is ask, it is determined that the desired asset information including the application condition;
    The client identification is defined as mark corresponding to the desired asset information;
    The screening module is specifically used for, and the assets information included by the public sentiment data is carried out according to the client identification Screening, obtain the target public sentiment data matched with the application condition.
CN201310418664.5A 2013-09-13 2013-09-13 Public sentiment method for monitoring and analyzing and device Expired - Fee Related CN104462096B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310418664.5A CN104462096B (en) 2013-09-13 2013-09-13 Public sentiment method for monitoring and analyzing and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310418664.5A CN104462096B (en) 2013-09-13 2013-09-13 Public sentiment method for monitoring and analyzing and device

Publications (2)

Publication Number Publication Date
CN104462096A CN104462096A (en) 2015-03-25
CN104462096B true CN104462096B (en) 2017-11-14

Family

ID=52908160

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310418664.5A Expired - Fee Related CN104462096B (en) 2013-09-13 2013-09-13 Public sentiment method for monitoring and analyzing and device

Country Status (1)

Country Link
CN (1) CN104462096B (en)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106685680B (en) * 2015-11-09 2019-09-20 北京国双科技有限公司 The method and apparatus for restoring promotion data on flows
CN105653627A (en) * 2015-12-28 2016-06-08 湖南蚁坊软件有限公司 Bloom filter-based data classification method
CN109118051A (en) * 2018-07-17 2019-01-01 阿里巴巴集团控股有限公司 The identification of risk trade company and method of disposal, device and server based on network public-opinion
CN109213929A (en) * 2018-07-26 2019-01-15 阿里巴巴集团控股有限公司 Network public sentiment information processing method, device and server
CN109376237B (en) * 2018-09-04 2024-05-28 中国平安人寿保险股份有限公司 Client stability prediction method, device, computer equipment and storage medium
CN109543186B (en) * 2018-11-22 2023-12-19 奇安信科技集团股份有限公司 Public opinion information processing method, system, electronic equipment and medium
CN110188119A (en) * 2019-06-10 2019-08-30 北京百度网讯科技有限公司 Method and apparatus for obtaining data

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102567393A (en) * 2010-12-21 2012-07-11 北大方正集团有限公司 Method, device and system for processing public sentiment topics
CN103139256A (en) * 2011-11-30 2013-06-05 北大方正集团有限公司 Monitoring method and monitoring system of multi-tenant network public opinion

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4738144B2 (en) * 2005-11-28 2011-08-03 株式会社日立製作所 Information monitoring method, system and program

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102567393A (en) * 2010-12-21 2012-07-11 北大方正集团有限公司 Method, device and system for processing public sentiment topics
CN103139256A (en) * 2011-11-30 2013-06-05 北大方正集团有限公司 Monitoring method and monitoring system of multi-tenant network public opinion

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
A Practical System for Harvesting and Monitoring Hot Topics on the Web;Xiaojun Wan;《International Conference on World Wide Web》;20100430;1197-1198 *

Also Published As

Publication number Publication date
CN104462096A (en) 2015-03-25

Similar Documents

Publication Publication Date Title
CN104462096B (en) Public sentiment method for monitoring and analyzing and device
Alam et al. Processing social media images by combining human and machine computing during crises
CN109033387B (en) Internet of things searching system and method fusing multi-source data and storage medium
CN110489633B (en) Intelligent brain service system based on library data
CA2865184C (en) Method and system relating to re-labelling multi-document clusters
CN106557513B (en) Event information pushing method and event information pushing device
CN102208992B (en) The malicious information filtering system of Internet and method thereof
US8630972B2 (en) Providing context for web articles
EP2657854A1 (en) Method and system for incremental collection of forum replies
CN111447575B (en) Short message pushing method, device, equipment and storage medium
CN112632405A (en) Recommendation method, device, equipment and storage medium
CN111371672B (en) Message pushing method and device
CN108769255A (en) The acquisition of business data and administering method
CN111723256A (en) Government affair user portrait construction method and system based on information resource library
US10789606B1 (en) Generation of an advertisement
US10417334B2 (en) Systems and methods for providing a microdocument framework for storage, retrieval, and aggregation
CN104933104A (en) Method and system for collecting metadata
CN112307318B (en) Content publishing method, system and device
CN106682206A (en) Method and system for big data processing
JP4031264B2 (en) Filtering management method, filtering management program, filtering management method for filtering device, and filtering management program for filtering device
CN100419762C (en) Freely-inputted wireless short message matching and search engine information processing method, and apparatus therefor
CN111581220A (en) Storage and retrieval method, device, equipment and storage medium for time series data
CN110413770A (en) Group's message is referred to the method and device of group topic
CN115409553A (en) Advertisement delivery system and method based on big data and position information
EP2157520A1 (en) Information categorisation systems, modules, and methods

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20220622

Address after: 3007, Hengqin international financial center building, No. 58, Huajin street, Hengqin new area, Zhuhai, Guangdong 519031

Patentee after: New founder holdings development Co.,Ltd.

Patentee after: Peking University

Patentee after: BEIJING FOUNDER ELECTRONICS Co.,Ltd.

Address before: 100871, Beijing, Haidian District, Cheng Fu Road, No. 298, Zhongguancun Fangzheng building, 9 floor

Patentee before: PEKING UNIVERSITY FOUNDER GROUP Co.,Ltd.

Patentee before: Peking University

Patentee before: BEIJING FOUNDER ELECTRONICS Co.,Ltd.

CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20171114