CN107436907A - Web text classification integration method and device - Google Patents

Abstract

Embodiments of the present invention provide a network text classification and integration method and device. The method includes: receiving a collection instruction input by a user; storing content information or URL information of the currently displayed text according to the collection instruction; obtaining identification information and classification information of the currently displayed text; Category information, adding an item in the category table corresponding to the category information, where the item includes the identification information of the currently displayed text. The embodiment of the present invention classifies and stores the texts from various application software, which is convenient for users to search by classification. The user can find the corresponding text as long as he remembers the source, type, and collection time of the texts he has read, which improves the user experience. The efficiency of users searching for text information is improved, thereby improving the efficiency of users reading text information.

Description

Network Text Classification Integration Method and Device

technical field

The embodiments of the present invention relate to the field of communication technologies, and in particular, to a method and device for classifying and integrating network texts.

Background technique

With the development of smart terminals, users can install various application software on the smart terminal, and obtain different network information or enjoy different network services through each application software.

Text information is a kind of network information. Users can read text information on the network through application software. For example, users log in to Weibo to read text information shared by other Weibo users on Weibo, and log in to QQ to read articles uploaded by other QQ friends. Text information or forwarded text information, etc., when the user finds the text information he is interested in in the application software, he will store the text information he is interested in in the application software.

After the user finds the text information he is interested in in the application software, he collects the text information he is interested in in the application software. When the number of application software is large, different application software stores different text information respectively. When the user needs to read the text information that has been bookmarked, the user may not be able to correctly find the place where the text information is stored, thereby reducing the efficiency of the user in reading the text information.

Contents of the invention

Embodiments of the present invention provide a network text classification and integration method and device to improve the efficiency of users reading text information.

An aspect of the embodiments of the present invention is to provide a network text classification integration method, including:

Receive the collection instruction input by the user;

storing the content information or URL information of the currently displayed text according to the collection instruction;

Obtaining identification information and classification information of the currently displayed text;

According to the classification information of the currently displayed text, an entry is added to a classification table corresponding to the classification information, and the entry includes the identification information of the currently displayed text.

Another aspect of the embodiments of the present invention is to provide a network text classification integration device, including:

A receiving module, configured to receive a collection instruction input by a user;

A storage module, configured to store content information or URL information of the currently displayed text according to the collection instruction;

An acquisition module, configured to acquire identification information and classification information of the currently displayed text;

The classification table creation module is configured to add an entry in the classification table corresponding to the classification information according to the classification information of the currently displayed text, and the entry includes the identification information of the currently displayed text.

The network text classification and integration method and device provided by the embodiments of the present invention classify and store the texts from various application software, which is convenient for users to classify and query. Users only need to remember any one of the source, type, and storage time of the texts they have read. The corresponding text can be searched for the information, which improves the efficiency of the user to find the text information, thereby improving the efficiency of the user to read the text information.

Description of drawings

Fig. 1 is the flowchart of the network text classification and integration method provided by the embodiment of the present invention;

FIG. 2 is a flowchart of a network text classification and integration method provided by another embodiment of the present invention;

3 is a structural diagram of a network text classification and integration device provided by an embodiment of the present invention;

FIG. 4 is a structural diagram of a network text classification integration device provided by another embodiment of the present invention.

detailed description

FIG. 1 is a flow chart of a network text classification and integration method provided by an embodiment of the present invention. The embodiment of the present invention is aimed at storing the text information of interest in the application software after the user finds the text information of interest in the application software. When the number of application software is large, different application software stores different Text information, when the user needs to read the text information that has been collected, it may not be able to correctly find the place where the text information is stored, thereby reducing the efficiency of the user's reading text information, providing a network text classification integration method, the specific steps of the method as follows:

Step S101, receiving a collection instruction input by a user;

In the embodiment of the present invention, the user holds a terminal device, and the terminal device is installed with multiple application software, and the user can access the network through each application software, and obtain texts in the network, such as articles such as logs, blogs, and novels. If the text the user reads is the text he is interested in, but the full text cannot be read due to the current limited time, in order to read it again or continue reading later, the user clicks the collection and collection button in the user interface provided by the application software, and the collection and collection button can be It is a specific button on the terminal device, or it can be a combination of multiple buttons, for example, a combination of a volume button and a power button. Specifically, the collection and collection button can be applied to multiple application software on the terminal device. For example, the text found by the user in WeChat can be collected through the collection and collection button, and the text found by the user in Weibo can also be collected through the collection and collection button. Favorites button. After the user presses the collective collection button, the terminal device generates a collection instruction.

Step S102, storing content information or URL information of the currently displayed text according to the favorite instruction.

The terminal device stores the text currently displayed on the screen according to the collection command. There are two storage methods, one is to store the content information of the text, and the other is to store the URL information of the text, such as a link. After the user clicks the summary collection button , a prompt message is displayed on the screen of the terminal device, prompting the user to bookmark the content information or URL information of the text. If the user wants to read the original text next time, and does not want the original text to be found in the favorite URL information after the link of the original text changes, then confirm the favorite. The content information of the text, if the user wants to read the updated text, then determine the favorite URL information, the favorite URL information can facilitate the user to track and read the new text, but it also faces the problem that the original text cannot be found in the favorite URL information after the link of the original text changes The problem. The terminal device stores the text content information or website address information in the memory according to the storage method selected by the user, and in addition, assigns a unique identification number to each text content information or website address information.

Step S103, acquiring identification information and classification information of the currently displayed text;

The classification information includes at least one of the following: source information, type information, and time information. The identification information of the text includes key information of the text. The acquiring the identification information and classification information of the currently displayed text includes: acquiring key information according to the content information of the currently displayed text, and the key information includes at least one of the following: title information, author information, content key character; obtain the source information of the text according to the URL information of the currently displayed text; analyze the content information of the currently displayed text to determine the type information of the text; Time Gets the time information of the text.

After step S102, the identification information and classification information of the currently displayed text are obtained. The identification information is specifically the key information of the text, and the classification information includes at least source information, type information, and time information. The terminal device obtains information such as title information, author information, and content keywords corresponding to the text according to the content information of the currently displayed text, and uses the title information, author information, and content keywords as key information of the text.

Due to the different domain names of texts published on different media platforms, the domain names of the corresponding links are different. For example, the domain name of text links on WeChat is usually mp.weixin.qq.com; the domain name of text links on Weibo is usually mp.weibo.cn; The source of the text is determined by parsing the domain name portion of the currently displayed text link.

In addition, the terminal device provides an existing category of text, and the user can store the currently displayed text in an existing category, or create a new category on the terminal device, and store the currently displayed text in the new category In addition, the terminal device can also perform text analysis and topic detection on the currently displayed text to determine the classification of the text, such as finance, technology, art, sports, etc., and store the text in the determined classification middle.

The terminal device can also record the time when the user bookmarked the text, and the release time of the text on the network.

Step S104: According to the classification information of the currently displayed text, an entry is added in the classification table corresponding to the classification information, and the entry includes the identification information of the currently displayed text.

In the embodiment of the present invention, there is a classification table corresponding to each classification of the text. Specifically, the source, type, and time of the text correspond to the classification table respectively. For example, the classification table of the source includes texts from various application software, such as For Weibo, WeChat, QQ, etc., the classification table of types includes texts of various types and themes, and the classification table of time can sort all the texts in the collection according to the time sequence of the text collection.

In the embodiment of the present invention, the currently displayed text may belong to different classifications at the same time, for example, the text collected on January 1, 2016 from the financial category of Weibo, which belongs to the classification of Weibo, finance and time at the same time, is respectively in Add entries to the classification table corresponding to each classification, and the entry includes the identification information of the text such as key information, that is, there is a classification table corresponding to Weibo, and the classification table includes multiple entries, and each entry includes text from Weibo key information; financial correspondence has a classification table, and the classification table includes multiple table items, and each table item includes key information of financial text; time correspondence has a classification table, and the classification table includes multiple table items, each table Items include the key information of collection time and text, and multiple table items can be arranged in descending order of collection time, or in ascending order of collection time.

The embodiment of the present invention classifies and stores the texts from various application software, which is convenient for users to search by classification. The user can find the corresponding text as long as he remembers the source, type, and collection time of the texts he has read, which improves the user experience. The efficiency of users searching for text information is improved, thereby improving the efficiency of users reading text information.

FIG. 2 is a flowchart of a network text classification and integration method provided by another embodiment of the present invention. On the basis of the embodiment corresponding to Fig. 1, the specific steps of the network text classification integration method provided by the embodiment of the present invention are as follows:

Step S201, receiving a collection instruction input by a user;

Step S202, storing content information or URL information of the currently displayed text according to the collection instruction;

Step S203, acquiring identification information and classification information of the currently displayed text;

Step S204, according to the classification information of the currently displayed text, add an entry in the classification table corresponding to the classification information, the entry includes the identification information of the currently displayed text;

Step S201-step S204 are respectively consistent with steps S101-104, and the specific methods will not be repeated here.

Step S205, receiving the classification information input by the user;

When the user needs to find the stored text, the user determines the classification information of the target text according to the memory, for example, the user only remembers that the target text belongs to the financial category, or only remembers that the target text is saved from WeChat, or only remembers that the target text is a week ago Favorite, the user only needs to select the existing classification of the terminal device according to any relevant information of the target text in memory. The existing classification of the terminal device includes source classification, type classification, time classification and so on.

Step S206, acquiring and displaying a classification table according to the classification information, the classification table including identification information of the text corresponding to the classification information, so that the user can select a target text according to the identification information of the text;

The terminal device provides a corresponding view for each classification, and the user only needs to select the corresponding view to obtain the classification table corresponding to the classification. For example, if the user selects the source classification, the terminal device displays the classification table corresponding to the source, and the classification table Including the source information of the text and the key information of the text. If the user determines that the source is WeChat, the terminal device only displays the entry of the text from WeChat. Each entry includes the key information of the text. The key information is specifically title information, author information, Content keywords, users can determine the target text according to the key information of each text.

Step S207, according to the target text selected by the user, acquire and display the content information of the target text.

In the embodiment of the present invention, there are two methods for obtaining and displaying the content information of the target text according to the target text selected by the user. The first method is to determine the target text based on the key information of the target text selected by the user. The identification number of the target text; acquire and display the content information of the target text according to the identification number. The second is to determine the identification number of the target text according to the key information of the target text selected by the user; obtain the website address information of the target text according to the identification number; obtain and display the target text according to the website information content information.

According to the above embodiment, it can be seen that there are two storage methods for text in the terminal device, one is to store the content information of the text, and the other is to store the website information of the text, and each text has a unique identification number corresponding to it. In the embodiment of the invention, the key information of the text can also uniquely determine a text, the terminal device pre-establishes the corresponding relationship between the key information of the text and the identification number, and determines the identification number of the target text through the key information of the target text selected by the user, If the content information of the target text is stored in the memory, the content information of the target text is obtained from the memory according to the identification number and directly displayed on the display screen. If the URL information of the target text is stored in the memory, the URL information of the target text is obtained from the memory according to the identification number, the corresponding server is accessed according to the URL information, and the content of the target text corresponding to the URL information is obtained from the server Information, the terminal device displays the content information of the target text obtained from the server on the display screen.

In the embodiment of the present invention, the content information of the target text is stored by the terminal device, which can prevent the phenomenon of link failure, and by storing the website information of the target text by the terminal device, it can ensure that the target text read by the user is the latest updated text, which improves the accuracy of the target text. real-time.

FIG. 3 is a structural diagram of a network text classification and integration device provided by an embodiment of the present invention. The network text classification integration device provided by the embodiment of the present invention can execute the processing flow provided by the network text classification integration method embodiment, as shown in Figure 3, the network text classification integration device 30 includes a receiving module 31, a storage module 32, an acquisition module 33 and Classification table creation module 34, wherein, receiving module 31 is used for receiving the collection instruction of user input; Storage module 32 is used for storing the content information or website address information of the text currently displayed according to described collection instruction; Obtaining module 33 is used for obtaining described Identification information and classification information of the currently displayed text; the classification table creation module 34 is used to add an entry in the classification table corresponding to the classification information according to the classification information of the currently displayed text, and the entry includes the Identifying information for the currently displayed text.

The network text classification and integration device provided by the embodiment of the present invention can be specifically used to execute the method embodiment provided in FIG. 1 above, and the specific functions will not be repeated here.

The embodiment of the present invention classifies and stores the texts from various application software, which is convenient for users to search by classification. The user can find the corresponding text as long as he remembers the source, type, and collection time of the texts he has read, which improves the user experience. The efficiency of users searching for text information is improved, thereby improving the efficiency of users reading text information.

FIG. 4 is a structural diagram of a network text classification integration device provided by another embodiment of the present invention. On the basis of the above embodiments, the classification information includes at least one of the following: source information, type information, and time information; the identification information of the text includes key information of the text; the acquisition module 33 is specifically configured to The content information of the currently displayed text obtains key information, and the key information includes at least one of the following: title information, author information, and content keywords; obtains the source information of the text according to the URL information of the currently displayed text; analyzes The content information of the currently displayed text determines the type information of the text; and the time information of the text is acquired according to the collection time and publishing time of the currently displayed text.

The receiving module 31 is also used to receive the classification information input by the user; the acquisition module 33 is also used to obtain a classification table according to the classification information, and the classification table includes the identification information of the text corresponding to the classification information, so that The user selects the target text according to the identification information of the text; according to the target text selected by the user, the content information of the target text is obtained; the network text classification integration device 30 also includes a display module 35, and the display module 35 is used to display the classification table; display the content information of the target article.

The obtaining module 33 is specifically configured to determine the identification number of the target text according to the key information of the target text selected by the user; and obtain the content information of the target text according to the identification number.

The obtaining module 33 is specifically used to determine the identification number of the target text according to the key information of the target text selected by the user; obtain the website address information of the target text according to the identification number; obtain the website address information according to the website information. The content information of the target article.

The network text classification and integration device provided by the embodiment of the present invention can be specifically used to execute the method embodiment provided in FIG. 2 above, and the specific functions will not be repeated here.

In the embodiment of the present invention, the content information of the target text is stored by the terminal device, which can prevent the phenomenon of link failure, and by storing the website information of the target text by the terminal device, it can ensure that the target text read by the user is the latest updated text, which improves the accuracy of the target text. real-time.

To sum up, the embodiment of the present invention classifies and stores the texts from various application software, which is convenient for users to search by category. Users only need to remember the source, type, and storage time of the texts they have read to find any information. The corresponding text improves the efficiency of users to search for text information, thereby improving the efficiency of users to read text information; storing the content information of the target text through the terminal device can prevent the phenomenon of link failure, and storing the URL information of the target text through the terminal device , it can ensure that the target text read by the user is the latest updated text, which improves the real-time performance of the target text.

In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or May be integrated into another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware, or in the form of hardware plus software functional units.

The above-mentioned integrated units implemented in the form of software functional units may be stored in a computer-readable storage medium. The above-mentioned software functional units are stored in a storage medium, and include several instructions to make a computer device (which may be a personal computer, server, or network device, etc.) or a processor (processor) execute the methods described in various embodiments of the present invention. partial steps. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk and other various media that can store program codes. .

Those skilled in the art can clearly understand that for the convenience and brevity of description, only the division of the above-mentioned functional modules is used as an example for illustration. The internal structure of the system is divided into different functional modules to complete all or part of the functions described above. For the specific working process of the device described above, reference may be made to the corresponding process in the foregoing method embodiments, and details are not repeated here.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: It is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the various embodiments of the present invention. scope.

Claims (10)

1. A kind of 1. Web text classification integration method, it is characterised in that including：

   Receive the collection instruction of user's input；

   The content information or website information of the text currently shown according to the collection instruction storage；

   Obtain the identification information and classification information of the text currently shown；

   According to the classification information of the text currently shown, in classification chart corresponding to the classification information List item is added, the list item includes the identification information of the text currently shown.
2. 2. according to the method for claim 1, it is characterised in that the classification information is included as follows extremely Few one kind：Source-information, type information, temporal information；

   The identification information of the text includes the key message of the text；

   The identification information and classification information for obtaining the text currently shown, including：

   Key message is obtained according to the content information of the text currently shown, the key message includes It is following at least one：Heading message, author information, content-keyword；

   The source-information of the text is obtained according to the website information of the text currently shown；

   The content information for analyzing the text currently shown determines the type information of the text；

   The time that the text is obtained according to the collection time of the text currently shown, issuing time believes Breath.
3. 3. according to the method for claim 2, it is characterised in that described currently to be shown according to described The classification information of text, after adding list item in classification chart corresponding to the classification information, in addition to：

   Receive the classification information of user's input；

   Obtained according to the classification information and show classification chart, the classification chart includes the classification information pair The identification information for the text answered, so that identification information selection target text of the user according to the text；

   According to the target text of user's selection, obtain and show described target this paper content information.
4. 4. according to the method for claim 3, it is characterised in that described according to the described of user's selection Target text, obtain and show described target this paper content information, including：

   Key message according to the target text of user's selection determines the identification number of the target text；

   Obtained according to the identification number and show described target this paper content information.
5. 5. according to the method for claim 3, it is characterised in that described according to the described of user's selection Target text, obtain and show described target this paper content information, including：

   Key message according to the target text of user's selection determines the identification number of the target text；

   Described target this paper website information is obtained according to the identification number；

   Obtained according to the website information and show described target this paper content information.
6. A kind of 6. Web text classification integrating apparatus, it is characterised in that including：

   Receiving module, for receiving the collection instruction of user's input；

   Memory module, for the content information or net of the text currently shown according to the collection instruction storage Location information；

   Acquisition module, for obtaining the identification information and classification information of the text currently shown；

   Classification chart creation module, for the classification information according to the text currently shown, at described point List item is added in classification chart corresponding to category information, the list item includes the identification of the text currently shown Information.
7. 7. Web text classification integrating apparatus according to claim 6, it is characterised in that described point Category information includes following at least one：Source-information, type information, temporal information；The knowledge of the text Other information includes the key message of the text；

   The acquisition module is specifically used for obtaining crucial letter according to the content information of the text currently shown Breath, the key message include following at least one：Heading message, author information, content-keyword； The source-information of the text is obtained according to the website information of the text currently shown；Analysis is described to work as The content information of the text of preceding display determines the type information of the text；According to the text currently shown This collection time, issuing time obtain the temporal information of the text.
8. 8. Web text classification integrating apparatus according to claim 7, it is characterised in that described to connect Receive the classification information that module is additionally operable to receive user's input；

   The acquisition module is additionally operable to obtain classification chart according to the classification information, and the classification chart includes institute The identification information of text corresponding to classification information is stated, so that identification information of the user according to the text Selection target text；According to the target text of user's selection, the content for obtaining described target this paper is believed Breath；

   The Web text classification integrating apparatus also includes display module, and the display module is used to show and divided Class table；Show described target this paper content information.
9. 9. Web text classification integrating apparatus according to claim 8, it is characterised in that described to obtain Modulus block is specifically used for determining the target text according to the key message of the target text of user's selection Identification number；Described target this paper content information is obtained according to the identification number.
10. 10. Web text classification integrating apparatus according to claim 8, it is characterised in that described Acquisition module is specifically used for determining the target text according to the key message of the target text of user's selection This identification number；Described target this paper website information is obtained according to the identification number；According to the network address Target this paper content information described in acquisition of information.