CN114661974B - Government website public opinion analysis and early warning method by utilizing natural language semantic analysis - Google Patents
Government website public opinion analysis and early warning method by utilizing natural language semantic analysis Download PDFInfo
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- CN114661974B CN114661974B CN202210276938.0A CN202210276938A CN114661974B CN 114661974 B CN114661974 B CN 114661974B CN 202210276938 A CN202210276938 A CN 202210276938A CN 114661974 B CN114661974 B CN 114661974B
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- 101001012451 Homo sapiens Enteropeptidase Proteins 0.000 claims description 6
- 238000012795 verification Methods 0.000 claims description 2
- 238000012544 monitoring process Methods 0.000 abstract description 4
- 238000000926 separation method Methods 0.000 description 3
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/5846—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using extracted text
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/205—Parsing
- G06F40/216—Parsing using statistical methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/284—Lexical analysis, e.g. tokenisation or collocates
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
- H04L63/0428—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
- H04L63/0435—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload wherein the sending and receiving network entities apply symmetric encryption, i.e. same key used for encryption and decryption
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
- H04L63/083—Network architectures or network communication protocols for network security for authentication of entities using passwords
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention provides a government website public opinion analysis and early warning method utilizing natural language semantic analysis, which comprises the following steps: s1, judging whether public opinion warning words exist in collected text information data: if the collected text information data contains public opinion warning words, executing the next step; if the public opinion warning words do not exist in the collected text information data, continuing waiting, and returning to the step S1; s2, extracting the user ID which corresponds to the public opinion warning words and sends the public opinion warning words, collecting the language of the user ID within a period of time, and pushing the language to a website administrator. The invention can realize the public opinion monitoring pushing of the text information collected on the government platform.
Description
Technical Field
The invention relates to the technical field of government affair public opinion, in particular to a government affair website public opinion analysis and early warning method utilizing natural language semantic analysis.
Background
Public opinion monitoring is a complex technology crossing social science and data science, and needs to make preliminary prejudgment on events in the early stage of public opinion occurrence, so as to fully prepare for coping. Aiming at the description of the public opinion event, mainly from news texts on network media and social platforms similar to newness microblogs, people directly inform others or indirectly know related information of the public opinion event from others through reading, forwarding, commenting and the like.
Disclosure of Invention
The invention aims at least solving the technical problems existing in the prior art, and particularly creatively provides a government website public opinion analysis and early warning method utilizing natural language semantic analysis, which comprises the following steps:
s1, judging whether public opinion warning words exist in collected text information data:
if the collected text information data contains public opinion warning words, executing the next step;
if the public opinion warning words do not exist in the collected text information data, continuing waiting, and returning to the step S1;
s2, extracting the user ID which corresponds to the public opinion warning words and sends the public opinion warning words, collecting the language of the user ID within a period of time, and pushing the language to a website administrator.
In a preferred embodiment of the invention, the language comprises one or any combination of reading, forwarding, commenting.
In a preferred embodiment of the present invention, the pushing means includes one or any combination of a sms, an email, and a voice message of a mobile phone.
In a preferred embodiment of the present invention, in step S1, the following steps are included:
s11, acquiring an image file, and extracting text data in the image file according to the acquired image file;
s12, acquiring a public opinion warning word database, grouping the acquired public opinion warning words, setting a public opinion center warning word as a standard public opinion word for each group of public opinion warning words, setting other similar public opinion words with the distance smaller than a preset distance threshold as a starting node, and classifying the similar public opinion words into the same group;
s13, identifying public opinion warning words according to the text data extracted in the step S11.
In a preferred embodiment of the invention, the format of the image file comprises one or any combination of bmp, jpg, png, tif, gif.
In summary, by adopting the technical scheme, the public opinion monitoring pushing method and the device can realize public opinion monitoring pushing of the text information collected on the government platform.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the invention will become apparent and may be better understood from the following description of embodiments taken in conjunction with the accompanying drawings in which:
FIG. 1 is a schematic flow chart of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
The invention provides a government website public opinion analysis and early warning method utilizing natural language semantic analysis, which is shown in figure 1 and comprises the following steps:
s1, judging whether public opinion warning words exist in collected text information data:
if the collected text information data contains public opinion warning words, executing the next step;
if the public opinion warning words do not exist in the collected text information data, continuing waiting, and returning to the step S1;
s2, extracting the user ID which corresponds to the public opinion warning words and sends the public opinion warning words, collecting the language of the user ID within a period of time, and pushing the language to a website administrator. The language includes one or any combination of reading, forwarding, commenting; the pushing mode comprises one or any combination of short messages, electronic mail boxes and mobile phone voice messages.
In a preferred embodiment of the present invention, the following steps are included in step S1:
s11, acquiring an image file, wherein the format of the image file comprises one or any combination of bmp, jpg, png, tif, gif, and extracting text data in the image file according to the acquired image file;
s12, acquiring a public opinion warning word database, grouping the acquired public opinion warning words, setting a public opinion center warning word as a standard public opinion word for each group of public opinion warning words, setting other similar public opinion words with the distance smaller than a preset distance threshold as a starting node, and classifying the similar public opinion words into the same group;
s13, identifying public opinion warning words according to the text data extracted in the step S11.
In a preferred embodiment of the present invention, the method of extracting text data in an image file from the acquired image file in step S11 includes the steps of:
s111, let λ=1;
s112, operating on the λ image:
w＝N/(P×Q)，
wherein Q represents the height of the lambda-th image;
p represents the width of the lambda-th image;
w represents the ratio of the total number of pixels of the pixel target point to the lambda image;
n represents the number of gray values in the extracted lambda image, the image separation threshold H being greater than or equal to the number of gray values in the extracted lambda image;
S113，w′＝(-N+P×Q)/P×Q，
w' represents the ratio of the total number of pixels of the pixel background point to the lambda-th image;
wherein ζ represents a gray average value of the target image;
A i ∈A＝{A 1 ,A 2 ,A 3 ,…,A N ,A N+1 }，
wherein A represents a gray value set of all pixel points in the target image;
A i a gray value representing an ith pixel point in the target image;
S114，
wherein ζ represents the gray average value of the background image;
B j ∈B＝{B 1 ,B 2 ,B 3 ,…,B P×Q-N ,B P×Q-N+1 }，
wherein B represents a gray value set of all pixel points in the background image;
B j a gray value representing a j-th pixel point in the background image;
S115，
wherein,representing the gray average value of the extracted lambda-th image;
S116，
wherein η represents an image variance gray value;
using traversing method to make image variance gray value maximum eta max Obtaining an image separation threshold H;
s117, judging the image separation threshold H and extracting the gray value I of the kth pixel point in the lambda image λ,k Is the relation size of:
if I λ,k Make H less than or equal to H, let I λ,k ＝255；
If I λ,k > H, let I λ,k ＝0；k＝1,2,3,…,P×Q；
S118, extracting characters in a target image in the lambda image;
s119, judging lambda andrelationship size between:
if it isRepresenting the total number of images in the image file; ending;
if it isλ=λ+1, returning to step S112.
In a preferred embodiment of the present invention, in step S12, the method for calculating the distance from the close public opinion to the standard public opinion includes:
wherein a is ij Representing the part-of-speech value of the similar public opinion word at the feature points (i, j);
i represents the total number of feature points in each row of the similar public opinion words;
j represents the total number of feature points in each column of the similar public opinion words;
coefficients representing similar public opinion words; />
b ij Representing the part of speech value of the standard public opinion word at the feature points (i, j);
i' represents the total number of feature points of each row in the standard public opinion words;
j' represents the total number of feature points in each column of standard public opinion words;
phi represents the coefficient of standard public opinion words; phi is E (0, 1).
In a preferred embodiment of the present invention, the method further includes step S4, where the identified public opinion warning word is checked through the mobile intelligent handheld terminal login. The method for logging in the server through the mobile intelligent handheld terminal comprises the following steps:
s41, a server side obtains an SM4 symmetric KEY SM4_KEY, and a mobile intelligent handheld terminal obtains a communication identifier TK; the method for obtaining the communication identifier TK by the mobile intelligent handheld terminal comprises the following steps of:
s411, the mobile intelligent handheld terminal sends a request for acquiring an SM2 public key to a server, and the server stores an SM2 public key SM2_PUBKEY and an SM2 private key SM2_PRIKEY pair;
s412, after receiving the SM2 public key request sent by the mobile intelligent handheld terminal, the server returns the SM2 public key SM2_PUBKEY to the mobile intelligent handheld terminal in a plaintext form;
s413, after the mobile intelligent handheld terminal receives the SM2 public KEY SM2_PUBKEY sent by the server side, an SM4 symmetric KEY SM4_KEY is generated;
s414, using the SM2 public KEY SM2_PUBKEY to encrypt the SM4 symmetric KEY SM4_KEY by SM2 to obtain a ciphertext ENSM4K, and sending the ciphertext ENSM4K to the server side;
s415, after receiving the ciphertext ENSM4K sent by the mobile intelligent handheld terminal, the server decrypts the received ciphertext ENSM4K by using the SM2 private KEY SM2_PRIKEY, and obtains an SM4 symmetric KEY SM4_KEY after decrypting, and simultaneously generates a communication identifier TK;
s416, establishing association between the communication identifier TK and the SM4 symmetric KEY SM4_KEY to form a KV KEY value pair, and storing the KV KEY value pair in a cache server terminal redis; carrying out SM4 symmetric encryption on the communication identifier TK by using an SM4 symmetric KEY SM4 KEY to obtain an encrypted identifier ENTK, and returning the encrypted identifier ENTK to the mobile intelligent handheld terminal;
s417, the mobile intelligent handheld terminal uses the SM4 symmetric KEY SM4_KEY to perform SM4 symmetric decryption on the received encrypted identification ENTK to obtain a communication identification TK. The SM4 symmetric KEY sm4_key has timeliness, which can be one hour, one day, one month, etc., after expiration, the SM4 symmetric KEY sm4_key can be updated, and for the sake of safety, the server side can also update the SM2 public KEY sm2_pubkey and the SM2 private KEY sm2_prikey pair simultaneously.
S42, the mobile intelligent handheld terminal encrypts the obtained user name and password by using an SM4 symmetric KEY SM4_KEY respectively to obtain an encrypted user name and an encrypted password; the mobile intelligent handheld terminal sends the encrypted user name, the encrypted password and the communication identifier TK to a server;
s43, after receiving an encrypted user name and an encrypted password which are sent by a mobile intelligent handheld terminal and a communication identifier TK, a server acquires an SM4 symmetric KEY SM4_KEY corresponding to the communication identifier TK from a cache server terminal redis according to the communication identifier TK;
s44, the server decrypts the encrypted user name and the encrypted password by using the SM4 symmetric KEY SM4_KEY obtained in the step S43 to obtain a decrypted user name and a decrypted password; after the verification is passed, the mobile intelligent handheld terminal successfully logs in the server.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.
Claims (4)
1. A government website public opinion analysis and early warning method utilizing natural language semantic analysis is characterized by comprising the following steps:
s1, judging whether public opinion warning words exist in collected text information data:
if the collected text information data contains public opinion warning words, executing the next step;
if the public opinion warning words do not exist in the collected text information data, continuing waiting, and returning to the step S1;
the step S1 specifically comprises the following steps:
s11, acquiring an image file, and extracting text data in the image file according to the acquired image file;
s12, acquiring a public opinion warning word database, grouping the acquired public opinion warning words, setting a public opinion center warning word as a standard public opinion word for each group of public opinion warning words, setting other similar public opinion words with the distance smaller than a preset distance threshold as a starting node, and classifying the similar public opinion words into the same group; the method for calculating the distance from the similar public opinion words to the standard public opinion words comprises the following steps:
wherein a is ij Representing the part-of-speech value of the similar public opinion word at the feature points (i, j);
i represents the total number of feature points in each row of the similar public opinion words;
j represents the total number of feature points in each column of the similar public opinion words;
coefficients representing similar public opinion words; />
b ij Representing the part of speech value of the standard public opinion word at the feature points (i, j);
i' represents the total number of feature points of each row in the standard public opinion words;
j' represents the total number of feature points in each column of standard public opinion words;
phi represents the coefficient of standard public opinion words; phi epsilon (0, 1);
s13, identifying public opinion warning words according to the text data extracted in the step S11;
s2, extracting a user ID (identity) of the public opinion warning word corresponding to the public opinion warning word, collecting a speaker of the user ID within a period of time, and pushing the speaker to a website administrator;
s3, logging in and checking the identified public opinion warning words through the mobile intelligent handheld terminal, and logging in the server through the mobile intelligent handheld terminal, wherein the method comprises the following steps:
s41, a server side obtains an SM4 symmetric KEY SM4_KEY, and a mobile intelligent handheld terminal obtains a communication identifier TK; the method for obtaining the communication identifier TK by the mobile intelligent handheld terminal comprises the following steps of:
s411, the mobile intelligent handheld terminal sends a request for acquiring an SM2 public key to a server, and the server stores an SM2 public key SM2_PUBKEY and an SM2 private key SM2_PRIKEY pair;
s412, after receiving the SM2 public key request sent by the mobile intelligent handheld terminal, the server returns the SM2 public key SM2_PUBKEY to the mobile intelligent handheld terminal in a plaintext form;
s413, after the mobile intelligent handheld terminal receives the SM2 public KEY SM2_PUBKEY sent by the server side, an SM4 symmetric KEY SM4_KEY is generated;
s414, using the SM2 public KEY SM2_PUBKEY to encrypt the SM4 symmetric KEY SM4_KEY by SM2 to obtain a ciphertext ENSM4K, and sending the ciphertext ENSM4K to the server side;
s415, after receiving the ciphertext ENSM4K sent by the mobile intelligent handheld terminal, the server decrypts the received ciphertext ENSM4K by using the SM2 private KEY SM2_PRIKEY, and obtains an SM4 symmetric KEY SM4_KEY after decrypting, and simultaneously generates a communication identifier TK;
s416, establishing association between the communication identifier TK and the SM4 symmetric KEY SM4_KEY to form a KV KEY value pair, and storing the KV KEY value pair in a cache server terminal redis; carrying out SM4 symmetric encryption on the communication identifier TK by using an SM4 symmetric KEY SM4 KEY to obtain an encrypted identifier ENTK, and returning the encrypted identifier ENTK to the mobile intelligent handheld terminal;
s417, the mobile intelligent handheld terminal uses the SM4 symmetric KEY SM4_KEY to perform SM4 symmetric decryption on the received encrypted identification ENTK to obtain a communication identification TK;
s42, the mobile intelligent handheld terminal encrypts the obtained user name and password by using an SM4 symmetric KEY SM4_KEY respectively to obtain an encrypted user name and an encrypted password; the mobile intelligent handheld terminal sends the encrypted user name, the encrypted password and the communication identifier TK to a server;
s43, after receiving an encrypted user name and an encrypted password which are sent by a mobile intelligent handheld terminal and a communication identifier TK, a server acquires an SM4 symmetric KEY SM4_KEY corresponding to the communication identifier TK from a cache server terminal redis according to the communication identifier TK;
s44, the server decrypts the encrypted user name and the encrypted password by using the SM4 symmetric KEY SM4_KEY obtained in the step S43 to obtain a decrypted user name and a decrypted password; after the verification is passed, the mobile intelligent handheld terminal successfully logs in the server.
2. The method for public opinion analysis and early warning of government website using natural language semantic analysis according to claim 1, wherein the language comprises one or any combination of reading, forwarding, commenting.
3. The method for public opinion analysis and early warning of government website by natural language semantic analysis according to claim 1, wherein the pushing mode comprises one or any combination of short message, email, mobile phone voice message.
4. The method for public opinion analysis and early warning of government website using natural language semantic analysis according to claim 1, wherein the format of the image file includes one or any combination of bmp, jpg, png, tif, gif.
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