CN114051054A - Method and system for acquiring information by adopting wireless communication network - Google Patents
Method and system for acquiring information by adopting wireless communication network Download PDFInfo
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Abstract
The invention provides a method and a system for acquiring information by adopting a wireless communication network, which are applied to the technical field of wireless networks, wherein dynamic contents and pictures issued by a user person are scanned and identified by an emotion identification technology to obtain first reference data, a web crawler is used for acquiring whether second reference data corresponding to the first reference data have extreme negative dynamic, if so, the extreme negative dynamic in the second reference data is removed, and the retained second reference data is used as network information to be pushed; acquiring favorites established by a user according to personal preferences, analyzing second reference data according to the personal preferences of the user to acquire categories which the user prefers to browse, retrieving and capturing URLs of the same category mood from a webpage, and putting the URLs into corresponding categories according to the mood categories corresponding to the URLs.
Description
Technical Field
The invention is applied to the technical field of wireless networks, and particularly relates to a method and a system for acquiring information by adopting a wireless communication network.
Background
The network is not aware of becoming an indispensable part of every person's life, the importance of data is increasing in the era of network informatization, in the era of wired network, the range of user's activities is limited by network cable, and wherever you go, you must drag long cable, so it is annoying to find broadband interface, therefore, wireless network has come into existence, wireless communication network information acquisition has been widely used in the fields of internet, electronic equipment, etc., for example, on internet, information resources disclosed on network can be acquired by browsing web pages, links or using search engine to look up keywords at, if the electronic equipment is in the process of connecting wireless communication network, it first acquires wireless communication network list under the current environment, the wireless communication network list shows network names and corresponding passwords of wireless communication networks whose signal coverage includes the position of the electronic equipment, the password lock is used for indicating that when connection is established with a corresponding wireless communication network, a password needs to be input, then a user can select a wireless communication network meeting the requirement of the user from a wireless communication network list, and the wireless communication network is detected by the electronic equipment according to the position of the wireless communication network.
Office, chat, entertainment games, news, etc., which are required to receive information provided on an electronic device, there are many ways to obtain information, such as: the system push mode, the keyword search mode, the random browse mode and other modes are various, the existing system push mode can not push the corresponding network information according to the real-time mood of the user, and the user experience is poor.
Therefore, to solve the above-mentioned problems, the present invention provides a method and system for information acquisition using a wireless communication network.
Disclosure of Invention
The invention aims to solve the problem that the existing system pushing mode is various and cannot push corresponding network information according to the real-time mood of a user, so that the user experience is poor, and provides a method and a system for acquiring information by adopting a wireless communication network.
The invention adopts the following technical means for solving the problem of the information acquisition method of the wireless communication network: the emotion recognition technology is adopted to recognize the characteristics of dynamic voice, characters and pictures, and further recognize the current emotion of the user, so that network information similar to the emotion of the user is pushed; web crawlers are employed to match similar content to words and pictures in the first reference data, including but not limited to extremely negative dynamics.
The invention provides a method and a system for acquiring information by adopting a wireless communication network, wherein the method comprises the following steps:
step S1, connecting a wireless network;
step S2, obtaining the information of the user equipment through the IP address, creating a user personal exclusive account according to the user personal information, and recommending network information which the user may like by identifying other platform browsing information of the user;
step S3, the system automatically pushes the network information to the personal home page through the favorite network information selected by the user and according to the dynamic content published by the user;
step S4, scanning and identifying dynamic content and pictures published by a user through an emotion identification technology to obtain first reference data, wherein the first reference data is used for determining the current emotion of the user through character and picture scanning;
step S5, acquiring whether second reference data corresponding to the first reference data has extreme negative dynamic through a web crawler, wherein the second reference data is data for classification and emotion supplement of network information to be pushed;
step S6, if yes, dynamically removing the extreme negative in the second reference data, and using the retained second reference data as the network information to be pushed; if not, directly taking the second reference data as the network information to be pushed;
step S7, acquiring favorites established by a user according to personal preferences, analyzing second reference data according to the personal preferences of the user to acquire categories which the user prefers to browse, retrieving URLs for capturing moods of the same category from webpages, and putting the URLs into corresponding categories according to the mood categories corresponding to the URLs, wherein the URLs are websites for completely describing webpages and other resource addresses on the internet.
Furthermore, a wireless network interface is opened on the electronic equipment, an IP address needing to search a wireless network is input, and a password corresponding to the wireless network is input to be connected.
Further, acquiring the personal information of the user, wherein the personal information of the user comprises all information disclosed by the user on the internet;
receiving the user personal exclusive account and a corresponding coded lock, wherein the coded lock comprises a face recognition lock;
and acquiring platform browsing information of the user, and recommending network information which the user may like according to the browsing information.
Further, performing mute elimination through a voice processing system to obtain effective voice fragments;
extracting the characteristics of the effective voice segments, extracting keywords and the micro expressions of the pictures from the characters, and fusing the keywords, the micro expressions and the pause, tone and decibel of the voice of the characteristic extraction tone;
and inputting the features of pause, tone and decibel of sound of the key words, the micro expression and the feature extraction tone into a classifier for discrimination, thereby obtaining the emotional state.
Further, acquiring the second reference data through a web crawler according to the first reference data;
judging whether the second reference data has extremely negative keywords or micro expressions;
if so, the extreme negative dynamics are removed.
Further, preset network news is added to the retained second reference data to serve as the pushed network information.
Further, the second reference data is compared with the network information in the favorite, the types of the network information liked by the user are obtained, the likeness arrangement is carried out, the URL of the mood corresponding to the user at present is pushed to the personal homepage, and the favorite contains the network information liked by various moods of the user.
Further, the arranged network information is selected out of other network information which is similar to the arranged network information and is put into the category of the corresponding emotion, and the network information put into the category is used as the content of the next cycle of the corresponding emotion.
Furthermore, URL data captured by the web crawler is stored into a corresponding page database;
synchronizing the page database with the browsing content of the personal information platform;
and if so, performing security authentication when the content is synchronized.
Further, the connection module is connected with a wireless network;
the acquisition module acquires information of the user equipment through the IP address, creates a user personal special account according to the user personal information, and recommends network information which may be liked by the user by identifying other platform browsing information of the user;
the system comprises a checking module, a checking module and a display module, wherein the checking module automatically pushes network information to a personal home page through checking favorite network information by a user and according to dynamic contents issued by the user;
the identification module scans and identifies dynamic contents and pictures issued by a user person through an emotion identification technology to obtain first reference data, wherein the first reference data are data for determining the current emotion of the user through character and picture scanning;
the judgment module is used for acquiring whether second reference data corresponding to the first reference data has extreme negative dynamic states through a web crawler, wherein the second reference data are data for classification and emotion supplement of network information to be pushed;
the judgment module is used for dynamically removing the extreme negative in the second reference data if the second reference data is the extreme negative, and using the reserved second reference data as the network information to be pushed; if not, directly taking the second reference data as the network information to be pushed;
the analysis module is used for acquiring favorites established by a user according to personal preferences, analyzing second reference data according to the personal preferences of the user to acquire categories which the user likes to browse, retrieving URLs for capturing moods of the same category from webpages, and putting the URLs into corresponding categories according to the mood categories corresponding to the URLs, wherein the URLs are websites and are used for completely describing webpages and other resource addresses on the internet;
the invention provides a method and a system for acquiring information by adopting a wireless communication network, which have the following beneficial effects:
(1) the emotion recognition technology is adopted to recognize the characteristics of dynamic voice, characters and pictures, and further recognize the current emotion of the user, so that network information similar to the emotion of the user is pushed;
(2) and if the extreme negative dynamic state is removed, people in a negative state are protected, and the situation that the people are influenced by network information cannot be avoided, so that wrong judgment is made.
Drawings
Fig. 1 is a plan flow diagram of one embodiment of a method for information acquisition using a wireless communication network according to the present invention;
FIG. 2 is a plan flow diagram of one embodiment of a system for information acquisition using a wireless communication network in accordance with the present invention;
the objects, features and advantages of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments based on the embodiments of the present invention, and all other embodiments obtained by a person of ordinary skill in the art without creative efforts belong to the protection scope of the present invention.
Referring to fig. 1-2, a plan flow diagram of a method and system for information acquisition using a wireless communication network according to an embodiment of the present invention is shown.
The invention provides a method for acquiring information by adopting a wireless communication network, which comprises the following steps:
step S1, connecting a wireless network;
step S2, obtaining the information of the user equipment through the IP address, creating a user personal exclusive account according to the user personal information, and recommending network information which the user may like by identifying other platform browsing information of the user;
step S3, the system automatically pushes the network information to the personal home page through the favorite network information selected by the user and according to the dynamic content published by the user;
step S4, scanning and identifying the dynamic content and the picture published by the user through the emotion identification technology to obtain first reference data, wherein the first reference data is data for determining the current emotion of the user through character and picture scanning;
step S5, acquiring whether second reference data corresponding to the first reference data has extreme negative dynamic through a web crawler, wherein the second reference data is data for classification and emotion supplement of network information to be pushed;
step S6, if yes, the extreme negative dynamic in the second reference data is removed, and the retained second reference data is used as the network information to be pushed; if not, directly taking the second reference data as the network information to be pushed;
and step S7, acquiring favorites established by the user according to personal preferences, analyzing the second reference data according to the personal preferences of the user to acquire categories which the user prefers to browse, retrieving URLs for capturing moods of the same category from the webpage, and putting the URLs into the corresponding categories according to the mood categories corresponding to the URLs, wherein the URLs are websites and are used for completely describing webpages and other resource addresses on the internet.
In this embodiment, the present invention is applied to a wireless communication network, and more specifically, the present emotion of a user is further recognized by using an emotion recognition technology to perform recognition features on dynamic voice, text and pictures, so as to push network information similar to the emotion of the user; the first reference data is used for determining the current emotion of the user through character and picture scanning; employing a web crawler to match similar content to words and pictures in the first reference data including, but not limited to, extreme negative dynamics; the second reference data is data for classifying the network information to be pushed and supplementing emotion; the URL is a web address, and is an identification method for completely describing web pages and other resource addresses on the internet.
The electronic equipment is connected through a wireless network, the wireless network connection is adopted because the wireless network is more convenient compared with a wired network, the connection can be carried out in regions with signals, the application range is wider, after the network is connected, the information of the user equipment is obtained through an IP address on the electronic equipment, a personal special account of the user is created according to the information of the user equipment and the personal real-name information, the user can log in after inputting an account password in the APP, after the login, the APP automatically recommends the user to browse more network information to store according to the information browsed by other platforms created before the personal information of the user, the system automatically recommends the network information to a personal homepage by checking favorite network information, and simultaneously, the dynamic content, voice or pictures published by the user are scanned and identified according to the emotion identification technology to determine the current emotion of the user, the method is convenient to further select the network information which the user personally wants to obtain, further takes the network information as first reference data, further screens the network crawler to eliminate the extremely negative dynamic state and further obtain second reference data, simultaneously inserts the rest network information into the latest network news dynamic state so as to be convenient for the user to know, analyzes the second reference data according to the personal preference of the user to obtain the favorite browsing category of the user, retrieves and captures the URL of the same category mood from the webpage, puts the URL into the corresponding category according to the mood category corresponding to the URL, classifies the URL through the mood, when the system is opened next time, the system can preferentially display the network information in the placed category on a personal top page for viewing, if the user wants to update, the user dynamic state can be updated or refreshed, the network information which is not browsed can be continuously kept in a folder classified according to the mood, meanwhile, the personal favorite is arranged, so that the user can be further known, the high-quality experience is added for the user, and if the user updates the dynamic state, the emotion recognition is repeatedly carried out.
In one embodiment, the step of connecting to the wireless network includes: and opening a wireless network interface on the electronic equipment, inputting an IP address needing to search a wireless network, and inputting a password corresponding to the wireless network for connection.
In this embodiment, a wireless network interface is opened, a required network may be selected for connection, and an IP address of a wireless network may be input to input a password for connection.
In one embodiment, the steps of obtaining information of the user equipment through an IP address, creating a user personal account according to the user personal information, and recommending network information that the user may like by identifying browsing information of other platforms of the user include:
acquiring user personal information, wherein the user personal information comprises all information disclosed by a user on the Internet;
receiving a user personal exclusive account and a corresponding coded lock, wherein the coded lock comprises a face recognition lock;
and acquiring platform browsing information of the user, and recommending network information which the user may like according to the browsing information.
When the method is specifically implemented, information of user equipment is obtained through an IP address on the electronic equipment, a personal exclusive account of a user is created according to the information of the user equipment and personal real-name information, login can be achieved by inputting an account password in the APP, meanwhile, in order to guarantee the safety of a personal account, a face recognition lock is set, face information is collected in the safety setting of the personal account of the user and is input into the account, when the user equipment logs in for the first time, the account password and face recognition need to be input, when the user information is not deleted, the password does not need to be input in the same equipment, direct face recognition can be achieved, after login, more browsed information of other platforms is created before the personal information of the user, and the APP stores more browsed network information of an automatic recommendation user.
In other embodiments, the combination lock includes but is not limited to a face recognition lock, and a fingerprint recognition lock or a feature voice recognition lock may be used.
In one embodiment, the step of scanning and recognizing dynamic content and pictures published by a user person through emotion recognition technology to obtain first reference data, wherein the first reference data is data for determining the current emotion of the user through text and picture scanning, and the step of scanning and recognizing the dynamic content and the pictures comprises the following steps:
performing mute elimination through a voice processing system to obtain effective voice fragments;
extracting the characteristics of the effective voice segments, extracting keywords and the micro expressions of the pictures from the characters, and fusing the keywords, the micro expressions and the pause, tone and decibel of the voice of the characteristic extraction tone;
and inputting the features of the key words, the micro expressions and the features, namely the pause of the tone and the decibel of the sound, extracted from the features into a classifier for discrimination, thereby obtaining the emotional state.
The method for acquiring the second reference data corresponding to the first reference data through the web crawler to determine whether extreme negative dynamics exist or not, wherein the second reference data are data for classification and emotion supplement of the network information to be pushed, comprises the following steps:
acquiring second reference data through a web crawler according to the first reference data;
judging whether the second reference data has extremely negative keywords or micro expressions;
if so, the extreme negative dynamics are removed.
In this embodiment, by selecting favorite network information, the system automatically recommends network information to a personal homepage, and at the same time, scans and recognizes dynamic content, voice or pictures published by a user person according to an emotion recognition technology to determine the current emotion of the user, wherein the emotion recognition technology performs silence elimination on the dynamics published by the user, firstly, a voice processing system performs silence elimination to obtain an effective voice segment, then, feature extraction is performed on the effective voice segment, keywords and micro expressions of the pictures are extracted from characters, the keywords, the micro expressions and feature extraction speech pauses, tones and sounds are fused, and finally, the features are input into a classifier to be distinguished, so that an emotion state is judged, for example: when the words are melancholy, the words are judged to be sadness, meanwhile, the eyes of the user are identified through expressions or pictures, the eyes are windows of soul, when the words have feelings, the words can be seen from the eye spirit of the user, the network information which the user wants to obtain is conveniently and further selected, then the first reference data is used for pushing the corresponding network information according to the real-time mood of the user, the problem that the user experience is poor is solved, whether the URL data have extremely negative keywords or not is analyzed through a web crawler, if the words exist, the extremely negative dynamic state is removed to serve as the second reference data, the people in the negative state are protected, the influence of the network information cannot be caused, and wrong judgment is made.
In other embodiments, the speech is recognized by the above method, if the text picture is removed from the speech recognition, if the video is provided, the frames of the video are displayed in the form of pictures, and the above method is repeated after the speech is recognized.
In one embodiment, the step of dynamically removing the extreme negative in the second reference data and using the retained second reference data as the network information to be pushed includes:
and adding the preset network news to the reserved second reference data to serve as the pushed network information.
In this embodiment, the web crawler is a preset technology of the system, that is, screening the extremely negative dynamics in the first reference data, and excluding the extremely negative dynamics to further obtain the second reference data, and meanwhile, dynamically displaying the latest web news, so as to be convenient for the user to know.
In other embodiments, the latest web news is inserted into the web news according to the popularity from high to low.
In one embodiment, the step of acquiring favorites created by a user according to personal preferences, analyzing the second reference data according to the personal preferences of the user to acquire categories that the user prefers to browse, retrieving and capturing URLs of corresponding category moods from a webpage, and putting the URLs into corresponding categories according to the mood categories corresponding to the URLs, wherein the URLs are web addresses and are used for completely describing the webpage and other resource addresses on the internet, comprises the following steps: comparing the second reference data with the network information in the favorite to obtain the type of the network information liked by the user, arranging the likeness, pushing the URL of the mood corresponding to the user to the personal home page, wherein the favorite contains the network information liked by various moods of the user, selecting other network information similar to the arranged network information from the arranged network information to be put into the category of the corresponding mood, and taking the network information put into the category as the content of the next cycle of the corresponding mood,
storing URL data captured by the web crawler into a corresponding page database;
synchronizing the page database with the browsing content of the personal information platform;
and if so, performing security authentication when the content is synchronized.
In this embodiment, the second reference data is analyzed according to personal preference of the user to obtain the category that the user likes to browse, the URL that captures the mood of the same category is retrieved from the web page, the URL is placed into the corresponding category according to the mood category corresponding to the URL, the category is classified according to the mood, when the system is opened next time, the system preferentially displays the network information in the placed category on the personal top page for viewing, if the user wants to update, the URL can be replaced by updating the personal dynamic state or refreshing, the network information that is not browsed is continuously left in the folder classified according to the mood, meanwhile, a personal favorite is provided to facilitate further understanding of the user, to add a good experience to the user, the URL data obtained by the web crawler is stored in a page database corresponding to the mood category, the content browsed by the platform is synchronized, security authentication is performed during synchronization, the security authentication is that face recognition is performed or other security locks are provided during content information synchronization, for example: fingerprints, voice characteristics, etc.
In one embodiment, a system for information acquisition using a wireless communication network is applied to a method for information acquisition using the wireless communication network, and includes:
the connection module 1 is connected with a wireless network;
the acquisition module 2 acquires information of the user equipment through the IP address, creates a user personal special account according to the user personal information, and recommends network information which may be liked by the user by identifying other platform browsing information of the user;
the checking module 3 automatically pushes the network information to the personal home page through the favorite network information checked by the user and according to the dynamic content published by the user;
the identification module 4 scans and identifies dynamic contents and pictures issued by a user person through an emotion identification technology to obtain first reference data, wherein the first reference data are data for determining the current emotion of the user through character and picture scanning;
the judging module 5 is used for acquiring whether extreme negative dynamic exists in second reference data corresponding to the first reference data through a web crawler, wherein the second reference data are data for classification and emotion supplement of network information to be pushed;
the judging module 6 is used for dynamically removing the extreme negative in the second reference data if the second reference data is the network information to be pushed, and using the reserved second reference data as the network information to be pushed; if not, directly taking the second reference data as the network information to be pushed;
and the analysis module 7 is used for acquiring favorites established by the user according to personal preferences, analyzing the second reference data according to the personal preferences of the user to acquire categories which the user likes to browse, retrieving and capturing URLs with the same category mood from the webpage, and putting the URLs into corresponding categories according to the mood categories corresponding to the URLs, wherein the URLs are websites and are used for completely describing webpages and other resource addresses on the internet.
In this embodiment, the system includes an emotion recognition technology, a wireless network system and a web crawler technology, wherein the emotion recognition technology is used for recognizing the current mood state of a user, the wireless network system is the key for opening the system, no network can receive information, and the web crawler technology is used for screening extreme negative dynamics and analyzing URLs, matching similar dynamics are carried out, and the extreme negative dynamics are respectively put into categories corresponding to emotions; the first reference data is data for determining the current emotion of the user through character and picture scanning; the second reference data is data for classifying the network information to be pushed and supplementing emotion; the acquisition module 2 is used for acquiring information of user equipment and creating a user personal special account according to the user personal information; the identification module 4 is used for scanning and identifying dynamic contents and pictures issued by a user; the judging module 5 judges whether the second reference data corresponding to the first reference data acquired by the web crawler has extreme negative dynamic.
When the system is specifically implemented, the electronic equipment is connected through a wireless network of the connection module 1, the wireless network connection is adopted because the wireless network is more convenient to connect compared with a wired network, the system can be connected in a signal area, the application range is wider, after the network is connected, the information of the user equipment is obtained through the IP address obtaining module 2 on the electronic equipment, a personal special account of the user is created according to the information of the user equipment and the personal real-name information, the user can log in when the account password is input by the APP, after the login, the information browsed by other platforms is created before the personal information of the user, the APP stores more network information browsed by the automatic recommending user, favorite network information is selected through the colluding module 3, the system can automatically recommend network information to a personal homepage, and simultaneously dynamically published contents of the user can be selected according to the emotion recognition technology through the recognition module 4, The method comprises the steps of carrying out scanning recognition on voice or pictures, determining the current emotion of a user, conveniently and further selecting network information which the user personally wants to obtain, further screening the first reference data through a network crawler, judging whether the second reference data has extremely negative dynamic or not by a judging module 5, removing the extremely negative dynamic if the judging module 6 judges that the second reference data has the extremely negative dynamic, further obtaining the second reference data, protecting people in a negative state, making wrong judgment without being influenced by the network information, inserting preset network information into the latest network news dynamic through hot arrangement so as to be convenient for the user to know, analyzing the second reference data through an analyzing module 7 according to personal liking of the user to obtain the favorite browsing category of the user, retrieving URLs with the same category mood from a webpage, and placing the URLs into the corresponding category according to the corresponding mood of the URLs, the network information in the placing category is preferentially displayed on a personal home page to be checked when the system is opened next time, if the system wants to update, the network information can be replaced by updating personal dynamic state or refreshing, the network information which is not browsed is continuously left in a folder classified according to the emotion, and meanwhile, a personal favorite is arranged, so that the user can be further known, and the high-quality experience is added for the user.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A method for information acquisition using a wireless communication network, comprising:
step S1, connecting a wireless network;
step S2, obtaining the information of the user equipment through the IP address, creating a user personal exclusive account according to the user personal information, and recommending network information which the user may like by identifying other platform browsing information of the user;
step S3, the system automatically pushes the network information to the personal home page through the favorite network information selected by the user and according to the dynamic content published by the user;
step S4, scanning and identifying dynamic content and pictures published by a user person through an emotion identification technology to obtain first reference data, wherein the first reference data is data for determining the current emotion of the user through character and picture scanning;
step S5, acquiring whether second reference data corresponding to the first reference data has extreme negative dynamic through a web crawler, wherein the second reference data is data for classification and emotion supplement of network information to be pushed;
step S6, if yes, dynamically removing the extreme negative in the second reference data, and using the retained second reference data as the network information to be pushed; if not, directly taking the second reference data as the network information to be pushed;
step S7, acquiring favorites established by a user according to personal preferences, analyzing second reference data according to the personal preferences of the user to acquire categories which the user prefers to browse, retrieving URLs for capturing moods of the same category from webpages, and putting the URLs into corresponding categories according to the mood categories corresponding to the URLs, wherein the URLs are websites for completely describing webpages and other resource addresses on the internet.
2. The method of claim 1, wherein the step of connecting to the wireless network comprises:
and opening a wireless network interface on the electronic equipment, inputting an IP address needing to search a wireless network, and inputting a password corresponding to the wireless network for connection.
3. The method of claim 1, wherein the step of obtaining information of the user equipment through the IP address, creating a user's personal account according to the user's personal information, and recommending network information that the user may like by recognizing other platforms of the user to browse the information comprises:
acquiring the personal information of the user, wherein the personal information of the user comprises all information disclosed by the user on the Internet;
receiving the user personal exclusive account and a corresponding coded lock, wherein the coded lock comprises a face recognition lock;
and acquiring platform browsing information of the user, and recommending network information which the user may like according to the browsing information.
4. The method of claim 1, wherein the step of scanning and recognizing the dynamic content and pictures published by the user through emotion recognition technology to obtain the first reference data, the first reference data being data for determining the current emotion of the user through text and picture scanning, comprises:
performing mute elimination through a voice processing system to obtain effective voice fragments;
extracting the characteristics of the effective voice segments, extracting keywords and the micro expressions of the pictures from the characters, and fusing the keywords, the micro expressions and the pause, tone and decibel of the voice of the characteristic extraction tone;
and inputting the features of the key words, the micro expression and the feature extraction tone of the tone, the tone and the decibel of the sound into a classifier for discrimination, thereby judging the emotional state.
5. The method of claim 1, wherein the step of obtaining, by a web crawler, whether there is an extremely negative dynamic of second reference data corresponding to the first reference data, the second reference data being data for classifying and emotion supplementing the network information to be pushed, comprises:
acquiring the second reference data through a web crawler according to the first reference data;
judging whether the second reference data has extremely negative keywords or micro expressions;
if so, the extreme negative dynamics are removed.
6. The method of claim 1, wherein the step of dynamically removing the extreme negative of the second reference data and using the retained second reference data as the network information to be pushed comprises:
and adding preset network news to the retained second reference data to serve as the pushed network information.
7. The method of claim 1, wherein the step of obtaining a favorite created by the user according to personal preferences, analyzing the second reference data according to the personal preferences of the user to obtain categories that the user prefers to browse, retrieving a URL that captures a mood of a corresponding category from a web page, and placing the URL into a corresponding category according to the mood category corresponding to the URL, wherein the URL is a web address for completely describing web pages and other resource addresses on the internet, comprises:
and comparing the second reference data with the network information in the favorite to acquire the types of the network information liked by the user, arranging the likeness, and pushing the URL of the mood corresponding to the user to the personal home page, wherein the favorite contains the network information liked by various emotions of the user.
8. The method of claim 7, wherein the ranked network information is selected as a category of the corresponding emotion in which other network information is similar to the ranked network information, and the network information placed in the category is used as the content of the next cycle of the corresponding emotion.
9. The method of claim 1, wherein the step of acquiring a favorite created by a user according to personal likes, analyzing second reference data according to the personal likes of the user to acquire categories that the user likes to browse, retrieving URLs capturing moods of the same category from web pages, and placing URLs into corresponding categories according to the mood categories corresponding to the URLs, wherein the URLs are web addresses, and are used for completely describing an identification method of web pages and other resource addresses on the internet, comprises the steps of:
storing URL data captured by the web crawler into a corresponding page database;
synchronizing the page database with the browsing content of the personal information platform;
and if so, performing security authentication when the content is synchronized.
10. A system for information acquisition by using a wireless communication network, which is applied to the method for information acquisition by using the wireless communication network as claimed in any one of claims 1 to 9, and comprises:
the connection module is used for connecting a wireless network;
the acquisition module is used for acquiring information of the user equipment through the IP address, creating a user personal special account according to the user personal information, and recommending network information which may be liked by the user by identifying other platform browsing information of the user;
the checking module is used for automatically pushing the network information to the personal home page by the system through checking favorite network information by the user and according to the dynamic content published by the user;
the identification module is used for scanning and identifying dynamic contents and pictures issued by a user person through an emotion identification technology to obtain first reference data, wherein the first reference data are data for determining the current emotion of the user through character and picture scanning;
the judgment module is used for acquiring whether second reference data corresponding to the first reference data has extreme negative dynamic states through a web crawler, wherein the second reference data are data for classification and emotion supplement of network information to be pushed;
the judging module is used for dynamically removing the extreme negative in the second reference data if the second reference data is the extreme negative, and using the reserved second reference data as the network information to be pushed; if not, directly taking the second reference data as the network information to be pushed;
and the analysis module is used for acquiring favorites established by a user according to personal preferences, analyzing the second reference data according to the personal preferences of the user to acquire the categories which the user prefers to browse, retrieving and capturing URLs with the same category mood from a webpage, and putting the URLs into the corresponding categories according to the mood categories corresponding to the URLs, wherein the URLs are websites and are used for completely describing webpages and other resource addresses on the internet.
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