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WO2019000304A1 - Procédé et système de surveillance de l'opinion publique - Google Patents

Procédé et système de surveillance de l'opinion publique Download PDF

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Publication number
WO2019000304A1
WO2019000304A1 PCT/CN2017/090718 CN2017090718W WO2019000304A1 WO 2019000304 A1 WO2019000304 A1 WO 2019000304A1 CN 2017090718 W CN2017090718 W CN 2017090718W WO 2019000304 A1 WO2019000304 A1 WO 2019000304A1
Authority
WO
WIPO (PCT)
Prior art keywords
data
matching
perform
information
obtaining
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.)
Ceased
Application number
PCT/CN2017/090718
Other languages
English (en)
Chinese (zh)
Inventor
马岩
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.)
Maxtron Technology (shenzhen) Co Ltd
Original Assignee
Maxtron Technology (shenzhen) 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 Maxtron Technology (shenzhen) Co Ltd filed Critical Maxtron Technology (shenzhen) Co Ltd
Priority to PCT/CN2017/090718 priority Critical patent/WO2019000304A1/fr
Publication of WO2019000304A1 publication Critical patent/WO2019000304A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/35—Clustering; Classification
    • G06F16/353—Clustering; Classification into predefined classes
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor

Definitions

  • the present invention relates to the field of networks and computers, and in particular, to a public opinion monitoring method and system.
  • the existing technical solutions wirelessly monitor the public opinion effectively, so that the user can not effectively control the public opinion.
  • the application provides a public opinion monitoring method. It solves the shortcomings of the prior art technical solutions that cannot achieve effective control of public opinion.
  • a method for monitoring public opinion comprising:
  • the multi-carrier information is initially screened and filtered, and then placed in an acquisition database; the information in the collection database is matched with keywords, and if the matching is successful, the first data is obtained;
  • the second data is performed to perform enterprise type matching. If the matching succeeds in obtaining the third data, the third data is released.
  • the method further includes:
  • the matched information is statistically generated to generate a matching list, and the public subscription request sent by the user is received, and the matching list corresponding to the subscription request is sent to the user.
  • the matching the information in the collection database to the keyword includes:
  • Title matching is performed on the data of the collection database, the fourth data is successfully obtained by the title matching, and the industry keyword matching is performed on the fourth data. If the matching succeeds in obtaining the fifth data, the important keyword, the warning keyword and the remaining key are executed on the fifth data. Word matching, such as matching to determine that the match succeeds in getting the first data.
  • the performing the news type matching on the first data includes:
  • A-share keywords, customer keywords, and enterprise keyword matching on the first data such as matching to obtain the sixth data; determining whether the sixth data matches the title, such as matching the title to obtain the seventh data; and the seventh data Perform a news type match, such as a match to get the second data.
  • the performing the enterprise type matching on the second data includes:
  • a public opinion monitoring device comprising:
  • the collecting module is configured to collect the desired information in the network to obtain multi-carrier information
  • An initial processing module configured to perform preliminary screening and filtering on the multi-carrier information, and then put into the collection database
  • a processing module configured to perform matching of keywords in the collection database, such as obtaining the first data after the matching is successful; performing the news type matching on the first data, and obtaining the second data after the matching is successful;
  • the second data performs enterprise type matching, and if the matching succeeds in obtaining the third data, the third data is released.
  • the device further includes:
  • the list module is configured to perform statistics on the matched information to generate a matching list, receive a public opinion subscription request sent by the user, and send a matching list corresponding to the subscription request to the user.
  • the processing module is specifically configured to perform title matching on the data of the collection database, and the fourth matching data is successfully obtained by the title matching, and the industry keyword matching is performed on the fourth data, and if the matching succeeds, the fifth data is obtained, and the fifth data is obtained.
  • the data performs important keywords, early warning keywords, and remaining keyword matching, such as matching to determine that the matching succeeds in obtaining the first data.
  • the processing module is configured to perform A-share keywords, client keywords, and enterprise keyword matching on the first data, such as matching to obtain the sixth data successfully; determining whether the sixth data matches the title, such as matching The seventh data is obtained to the title; the news type matching is performed on the seventh data, and the second data is obtained if the matching succeeds.
  • a computer readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method provided by the first aspect.
  • the technical solution provided by the present invention performs data publishing after preliminary filtering, keyword matching, news type matching, and enterprise type matching operation, so that it can effectively monitor the public opinion.
  • FIG. 1 is a schematic flow chart of a public opinion monitoring method according to a first preferred embodiment of the present invention
  • FIG. 2 is a schematic flowchart diagram of a method for matching a keyword according to a second preferred embodiment of the present invention.
  • FIG. 3 is a schematic flowchart diagram of a news type matching method according to a third preferred embodiment of the present invention.
  • FIG. 4 is a schematic flowchart diagram of a method for matching an enterprise type according to a fourth preferred embodiment of the present invention.
  • FIG. 5 is a hardware structural diagram of a public opinion monitoring apparatus according to an embodiment of the present invention.
  • references to "an embodiment” herein mean that a particular feature, structure, or characteristic described in connection with the embodiments can be included in at least one embodiment of the invention.
  • the appearances of the phrases in various places in the specification are not necessarily referring to the same embodiments, and are not exclusive or alternative embodiments that are mutually exclusive. Those skilled in the art will understand and implicitly understand that the embodiments described herein can be combined with other embodiments.
  • the mobile terminal described in the embodiments of the present invention may include a smart phone (such as an Android mobile phone, an iOS mobile phone, and a Windows). Phone, etc.), tablet, PDA, laptop, mobile internet device (MID, Mobile Internet) Devices or wearable devices, etc., are merely examples, and are not exhaustive, including but not limited to the above mobile terminals.
  • FIG. 1 is a method for monitoring public opinion according to an embodiment of the present invention.
  • the method is implemented by an intelligent terminal, and the smart terminal may be: a smart phone (such as an Android phone, an iOS phone, or a Windows). Phone, etc.), tablet, PDA, laptop, mobile internet device (MID, Mobile Internet) Devices) or wearable devices, etc., the method shown in Figure 1, including the following steps:
  • Step S101 Collect information in the network to obtain multi-carrier information.
  • Step S102 Perform preliminary screening and filtering on the multi-carrier information and put it into the collection database.
  • step S103 the information in the collection database is matched with the keyword. If the matching is successful, the first data is obtained, and step S104 is performed.
  • Step S104 Perform a news type matching on the first data. If the second data is obtained after the matching is successful, step S105 is performed.
  • step S105 the second data is performed to perform enterprise type matching. If the matching succeeds in obtaining the third data, the third data is released.
  • the technical solution provided by the present invention performs data publishing after preliminary filtering, keyword matching, news type matching, and enterprise type matching operation, so that it can effectively monitor the public opinion.
  • the foregoing method may further include:
  • the matched information is statistically generated to generate a matching list, and the public subscription request sent by the user is received, and the matching list corresponding to the subscription request is sent to the user.
  • the terminal device can further manage information through the system management module, and can organize and edit related reports, briefings, reminders and the like to be pushed to various types of display terminals; and login to different types of display terminals or received multiple types of information through a unified account.
  • the carrier view the public information of the subscription, and provide reference for operations and decision-making.
  • FIG. 2 is a schematic diagram of a matching process of a keyword provided by the present invention. As shown in FIG. 2, the method includes the following steps:
  • Step S201 Perform title matching on the data of the collection database, and successfully obtain the fourth data by the title matching, and proceed to step S202.
  • Step S202 Perform industry keyword matching on the fourth data. If the matching succeeds in obtaining the fifth data, proceed to step S203.
  • Step S203 Perform an important keyword, an early warning keyword, and a remaining keyword matching on the fifth data, and if the matching is determined to be successful, the first data is obtained.
  • FIG. 3 is a schematic flowchart of a method for matching a news type according to the present invention. As shown in FIG. 3, the method includes the following steps:
  • Step S301 Perform A-share keywords, customer keywords, and enterprise keyword matching on the first data, and if the matching succeeds, obtain the sixth data.
  • step S302 it is determined whether the sixth data matches the title, and if the title is matched, the seventh data is obtained.
  • Step S303 Perform a news type matching on the seventh data, and if the matching succeeds, obtain the second data.
  • FIG. 4 is a schematic flowchart of a method for matching an enterprise type according to the present invention. As shown in FIG. 4, the method includes the following steps:
  • Step S401 Perform enterprise matching on the second data, if the matching obtains the third data, perform step S402, and if not, perform step S403.
  • Step S402 the third data is released.
  • Step S403 performing industry matching on the second data, adding the third data to the matching, and performing step S402.
  • FIG. 5 provides a public opinion monitoring device, which includes:
  • the collecting module 501 is configured to collect the information in the network to obtain multi-carrier information
  • the initial processing module 502 is configured to perform preliminary screening and filtering on the multiple carrier information and put the data into the collection database;
  • the processing module 503 is configured to perform matching of the information in the collection database, such as obtaining the first data after the matching is successful; performing the news type matching on the first data, and obtaining the second data after the matching is successful; The second data performs enterprise type matching, and if the matching succeeds in obtaining the third data, the third data is released.
  • the device further includes:
  • the list module 504 is configured to perform statistics on the matched information to generate a matching list, receive a public opinion subscription request sent by the user, and send a matching list corresponding to the subscription request to the user.
  • the processing module 503 is specifically configured to perform header matching on the data of the collection database, and the fourth matching data is successfully obtained by the title matching, and the industry keyword matching is performed on the fourth data, and if the matching succeeds, the fifth data is obtained, and the fifth data is obtained. Perform important keywords, warning keywords, and remaining keyword matching, such as matching to determine that the matching is successful to obtain the first data.
  • the processing module 503 is configured to perform A-share keywords, client keywords, and enterprise keyword matching on the first data, such as matching to obtain the sixth data successfully; determining whether the sixth data matches the title, such as matching The header obtains the seventh data; the news type matching is performed on the seventh data, and if the matching succeeds, the second data is obtained.
  • a computer readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method as provided in FIG.
  • a computer program product comprising a non-transitory computer readable storage medium storing a computer program operative to cause a computer to perform the method as provided in FIG.
  • the program may be stored in a computer readable storage medium, and the storage medium may include: Flash drive, read-only memory (English: Read-Only Memory, referred to as: ROM), random accessor (English: Random Access Memory, referred to as: RAM), disk or CD.
  • ROM Read-Only Memory
  • RAM Random Access Memory

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

L'invention concerne un procédé et un dispositif de surveillance de l'opinion publique, qui présentent l'avantage de surveiller efficacement des informations d'opinion publique. Le procédé consiste : à collecter des informations de tendance dans un réseau pour obtenir des informations multi-porteuses (S101); à trier et filtrer préalablement les informations multi-porteuses puis les placer dans une base de données de collecte (S102); à réaliser une mise en correspondance de mots-clés sur les informations dans la base de données de collecte, et à obtenir des premières données si la mise en correspondance réussit (S103); à exécuter une mise en correspondance de type d'actualités sur les premières données, et obtenir des deuxièmes données si la mise en correspondance réussit (S104); et à exécuter une mise en correspondance de type d'entreprise sur les deuxièmes données, à obtenir des troisièmes données si la mise en correspondance réussit, et à publier les troisièmes données (S105).
PCT/CN2017/090718 2017-06-29 2017-06-29 Procédé et système de surveillance de l'opinion publique Ceased WO2019000304A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/090718 WO2019000304A1 (fr) 2017-06-29 2017-06-29 Procédé et système de surveillance de l'opinion publique

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/090718 WO2019000304A1 (fr) 2017-06-29 2017-06-29 Procédé et système de surveillance de l'opinion publique

Publications (1)

Publication Number Publication Date
WO2019000304A1 true WO2019000304A1 (fr) 2019-01-03

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PCT/CN2017/090718 Ceased WO2019000304A1 (fr) 2017-06-29 2017-06-29 Procédé et système de surveillance de l'opinion publique

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110929683A (zh) * 2019-12-09 2020-03-27 北京赋乐科技有限公司 一种基于人工智能的视频舆情监测方法及系统
CN112632218A (zh) * 2020-12-15 2021-04-09 西安电子科技大学 一种用于企业危机公关的网络舆情监测方法
CN113254746A (zh) * 2021-05-24 2021-08-13 华北科技学院(中国煤矿安全技术培训中心) 一种基于树莓派的网络舆情展现系统
CN117235341A (zh) * 2023-09-11 2023-12-15 山东光庭信息技术有限公司 网络舆情线索数据生成方法、系统、设备及存储介质
TWI908522B (zh) 2024-12-06 2025-12-11 台灣大哥大股份有限公司 監測網路輿情的系統與方法

Citations (4)

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Publication number Priority date Publication date Assignee Title
US20090234825A1 (en) * 2008-02-28 2009-09-17 Fujitsu Limited Information distribution system and information distribution method
CN102546771A (zh) * 2011-12-27 2012-07-04 西安博构电子信息科技有限公司 基于特征模型的云挖掘网络舆情监测系统
CN104636386A (zh) * 2013-11-14 2015-05-20 华为技术有限公司 信息监控方法及装置
CN106886579A (zh) * 2017-01-23 2017-06-23 北京航空航天大学 实时流式文本分级监控方法和装置

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090234825A1 (en) * 2008-02-28 2009-09-17 Fujitsu Limited Information distribution system and information distribution method
CN102546771A (zh) * 2011-12-27 2012-07-04 西安博构电子信息科技有限公司 基于特征模型的云挖掘网络舆情监测系统
CN104636386A (zh) * 2013-11-14 2015-05-20 华为技术有限公司 信息监控方法及装置
CN106886579A (zh) * 2017-01-23 2017-06-23 北京航空航天大学 实时流式文本分级监控方法和装置

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110929683A (zh) * 2019-12-09 2020-03-27 北京赋乐科技有限公司 一种基于人工智能的视频舆情监测方法及系统
CN112632218A (zh) * 2020-12-15 2021-04-09 西安电子科技大学 一种用于企业危机公关的网络舆情监测方法
CN113254746A (zh) * 2021-05-24 2021-08-13 华北科技学院(中国煤矿安全技术培训中心) 一种基于树莓派的网络舆情展现系统
CN117235341A (zh) * 2023-09-11 2023-12-15 山东光庭信息技术有限公司 网络舆情线索数据生成方法、系统、设备及存储介质
TWI908522B (zh) 2024-12-06 2025-12-11 台灣大哥大股份有限公司 監測網路輿情的系統與方法

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