WO2019153685A1

WO2019153685A1 - Text processing method, apparatus, computer device and storage medium

Info

Publication number: WO2019153685A1
Application number: PCT/CN2018/099965
Authority: WO
Inventors: 艾明
Original assignee: 深圳壹账通智能科技有限公司
Priority date: 2018-02-07
Filing date: 2018-08-10
Publication date: 2019-08-15
Also published as: CN108399150B; CN108399150A

Abstract

A text processing method, comprising: acquiring text to be processed; inputting the text to be processed into a predetermined text matching model, so as to obtain a matched target entry and a position of the target entry in the text to be processed; determining, according to the text to be processed, entry information corresponding to the target entry; converting the target entry, in the text to be processed, into a hyperlink according to the entry information and said position of the entry; and upon receipt of a hyperlink reading instruction, sent from a terminal,, sending the entry information to the terminal.

Description

Text processing method, device, computer device and storage medium

This application claims the priority of the Chinese Patent Application entitled "Text Processing Method, Apparatus, Computer Equipment, and Storage Media" by the Chinese Patent Office, filed on February 7, 2018, the entire disclosure of which is incorporated by reference. In this application.

Technical field

The present application relates to a text processing method, apparatus, computer device, and storage medium.

Background technique

With the improvement of material living standards, people are increasingly willing to share experiences and feelings with the public while they are increasingly pursuing cultural products and cultural services. This has led to many food reviews or travel guides, users can post text, pictures and other information on the website platform for people to read.

However, the traditional information sharing website platform is often filled with large texts, making it difficult for viewers to obtain key information. When the viewer encounters an unfamiliar industry entry, the query engine needs to be queried by the search engine. The viewer needs to spend a lot of time to read, and the convenience of text reading is not high, so that the browsing interest of the viewer is reduced, thereby The information that leads to the text is provided less efficiently.

Summary of the invention

According to various embodiments disclosed herein, a text processing method, apparatus, computer device, and storage medium capable of improving information providing efficiency of text are provided.

A text processing method includes: acquiring a text to be processed; inputting the to-be-processed text into a preset text matching model, and obtaining a matching target term and a position of the target term in the to-be-processed text Determining, according to the to-be-processed text, term information corresponding to the target term; converting the target term in the to-be-processed text into a hyperlink according to the term information and the term position; And when the referral instruction for the hyperlink sent by the terminal is received, the term information is sent to the terminal.

A text processing apparatus, comprising: a to-be-processed text acquisition module, configured to acquire a text to be processed; and a target term matching module, configured to input the to-be-processed text into a preset text matching model to obtain a matching target term and a term position of the target term in the to-be-processed text; a term information determining module, configured to determine term information corresponding to the target term according to the to-be-processed text; a hyperlink generating module, Converting the target term in the to-be-processed text into a hyperlink according to the term information and the term position; and the term information sending module, configured to receive the super-sentence sent by the terminal The linked term information is sent to the terminal when the linked lookup instruction is issued.

A computer device comprising a memory and one or more processors having stored therein computer readable instructions, the computer readable instructions being executable by the processor to cause the one or more processors to execute The following steps: obtaining a text to be processed; inputting the to-be-processed text into a preset text matching model, and obtaining a matching target term and a position of the target term in the to-be-processed text; Processing the text to determine the term information corresponding to the target term; converting the target term in the to-be-processed text into a hyperlink according to the term information and the term position; and receiving the terminal The sent word information is sent to the terminal when the read command for the hyperlink is sent.

One or more non-transitory computer readable storage mediums storing computer readable instructions, when executed by one or more processors, cause one or more processors to perform the steps of: acquiring a text to be processed Entering the to-be-processed text into a preset text matching model to obtain a matching target term and a term position of the target term in the to-be-processed text; determining and the target according to the to-be-processed text The term information corresponding to the entry; converting the target term in the to-be-processed text into a hyperlink according to the term information and the term position; and receiving the hyperlink sent by the terminal When the instruction is read, the term information is sent to the terminal.

Details of one or more embodiments of the present application are set forth in the accompanying drawings and description below. Other features and advantages of the present invention will be apparent from the description, drawings and claims.

DRAWINGS

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings to be used in the embodiments or the prior art description will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present application, and other drawings can be obtained according to the drawings without any creative work for those skilled in the art.

1 is an application scenario diagram of a text processing method in accordance with one or more embodiments.

2 is a flow diagram of a text processing method in accordance with one or more embodiments.

3 is a schematic diagram of a term tree constructed from a plurality of target terms in accordance with one or more embodiments.

4A is a schematic diagram of a terminal displaying entry information through a hyperlink in accordance with one or more embodiments.

4B is a schematic diagram of a terminal displaying item information through a hyperlink according to one or more embodiments.

4C is a schematic diagram of a terminal displaying entry information through a hyperlink in accordance with still another embodiment.

FIG. 5 is a block diagram showing the structure of a text processing apparatus in accordance with one or more embodiments.

6 is a diagram showing the internal structure of a computer device in accordance with one or more embodiments.

Detailed ways

In order to make the technical solutions and advantages of the present application more clear, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the application and are not intended to be limiting.

The text processing method provided by the present application can be applied to an application environment as shown in FIG. 1. Terminal 102 communicates with server 104 over a network over a network. For example, the terminal 102 can send the to-be-processed text to the server 104 for storage; the server 104 can send the term information to the terminal 102 or the like upon receiving the access instruction for the hyperlink sent by the terminal 102. The terminal 102 can be, but is not limited to, various personal computers, notebook computers, smart phones, tablets, and portable wearable devices, and the server 104 can be implemented with a stand-alone server or a server cluster composed of a plurality of servers.

In one embodiment, as shown in FIG. 2, a text processing method is provided, which is applied to the server in FIG. 1 as an example, and includes the following steps:

Step 202: Acquire a text to be processed.

The text to be processed refers to the text that needs to be processed by the text. The text to be processed may be composed of one or more of Chinese characters, English letters, punctuation marks, and Arabic numerals, but is not limited thereto. The text to be processed may be text pre-stored in the database, and may also be text sent by the terminal, and may also be text collected on a preset webpage through a text collection script.

Step 204: Enter the text to be processed into a preset text matching model to obtain a matching target term and a term position of the target term in the to-be-processed text.

A text matching model is a model used to detect one or more target terms in a text. The target term refers to the terms in the text to be processed that need to be matched. The term position refers to the position of the target term in the text to be processed. For example, for the pending text "Sky in Shenzhen today", the target entry for the default text matching model output can be "Shenzhen" and the position is "3~4".

In one embodiment, the target term may be a POI (Point of Interest), which is a term in a geographic information system, and refers to all geographic objects that can be abstracted into points, especially those closely related to people's lives. Geographic entities such as schools, banks, restaurants, gas stations, hospitals, supermarkets, etc.). POI entries in various fields, including abbreviations, full names, nicknames, etc., can be collected, and POI terms can be classified and stored in stock. For example, the POI entry for the tourism industry can be collected, and the Shanghai abbreviation Shanghai and nickname Shencheng can be stored. After constructing the entry tree according to all POI terms, the POI entry included in the to-be-processed text can be detected according to the entry tree by the execution function, and the position of the POI entry can be determined.

Step 206: Determine term information corresponding to the target term according to the to-be-processed text.

After the matching target term in the to-be-processed text is detected, the term information corresponding to the target term may be acquired. The term information includes, but is not limited to, a combination of one or more of text information, picture information, audio information, and the like for interpreting the term, and may also be product information related to the target term. The term information corresponding to the target term may be selected according to the type of the text to be processed. The type of text to be processed may be determined according to the proportion of the target term of the same subject category in the tag of the text to be processed or the text to be processed. For example, when the pending text is a travel guide, the target entry may be the name of the attraction, the entry information may be an explanation of the attraction, and the related product information such as the attraction ticket purchase link and the travel insurance may be provided.

In one embodiment, since each target term can correspond to the term information of a plurality of topic categories, for example, the “Ma Yuan” can represent both the subject of the character category and the Malaysian element of the traffic subject category, The subject category of the target term needs to be determined before the term information is obtained. Step 206 may include determining whether the target term corresponds to the term information of the plurality of topic categories; if yes, determining the topic category of the target term according to the term position; and using the term information belonging to the determined topic category as the target term Corresponding entry information.

In one embodiment, each target term may also correspond to multiple item information under the same topic category, and after determining the topic category of the to-be-processed text, the matching probability of the term information and the to-be-processed text may also be calculated. . For example, the keyword in the term information is matched with the keyword in the text to be processed, and the term information with the largest number of matching keywords is used as the term information corresponding to the target term. For example, if the pending text contains the target term “talent park”, but the target term “talent park” can correspond to the entry information of Century Park in multiple cities, the entry information of multiple “talent parks” can be obtained. Matches the text to be processed. When it is detected that the pending text corresponding to the "talent park" in Shenzhen contains a plurality of "Shenzhen", the entry information corresponding to the "talent park" of Shenzhen may be used as the target entry. Entry information.

Step 208: Convert the target term in the to-be-processed text into a hyperlink according to the term information and the position of the term.

A hyperlink is a connection between a target term and a target content. The target content may be another webpage, or may be a different location on the same webpage, or may be a term information such as a picture, a text, an email address, a file, etc., but is not limited thereto. A hyperlink is an object. After a hyperlink is generated based on the term information, if a click operation or a mouse hover operation or the like is performed on the link, it is equivalent to instructing the browser to display the term information having a connection relationship with the hyperlink. After the target term is converted into a hyperlink according to the term information, the hyperlink may have a connection relationship with the term information. For example, after the webpage is generated according to the to-be-processed text, and the target term in the to-be-processed text has been converted into a hyperlink, when the operation acting on the hyperlink is detected, the terminal can asynchronously call the corresponding database in the server database through the JS script. Entry information.

In one embodiment, the term position includes a starting position and an ending position, and converting the target term in the to-be-processed text into a hyperlink according to the term information and the term position includes corresponding to the target term according to the term information. The starting position is inserted into the start tag; the end tag is inserted at the end position corresponding to the target term; the target term is converted into a hyperlink according to the start tag and the end tag; the hyperlink is used to connect the term information. The starting position is the position of the target term before the first character appearing in the text to be processed, and the ending position is the position of the target term after the last character appearing in the text to be processed. The target term can be converted to a hyperlink by a hypertext markup language, including but not limited to anchor tags, bold tags, font tags, and the like.

For example, the start tag and the end tag can be inserted before and after the target entry "Oriental Mandarin Hotel", and converted into <a href=“XXX”>Oriental Mandarin Hotel</a>. In this way, the target entry "Oriental Mandarin Hotel" in the pending text will be displayed in the form of a hyperlink. "XXX" may be a link to a webpage to be converted when the terminal detects a click operation or a hovering operation on the "Oriental Mandarin Hotel". The webpage link can be generated by the entry information corresponding to the target entry "Oriental Mandarin Hotel".

Step 210: When receiving the referral instruction for the hyperlink sent by the terminal, sending the term information to the terminal.

The lookup instruction refers to an instruction generated by the terminal according to the detected lookup operation acting on the hyperlink. Review operations include, but are not limited to, click operations and hover operations. After receiving the referral instruction, the server may obtain the term information having a connection relationship with the hyperlink from the database, and send the term information to the terminal, so that the terminal can display the term information.

In one of the embodiments, since the same target term can correspond to a plurality of term information, the term identifier can be preset for each term information, and the target term can be converted into a hyperlink according to the term identifier. When receiving the query instruction for the hyperlink sent by the terminal, the corresponding entry information may be searched in the database by the entry identifier, and the term information is sent to the terminal.

In the above text processing method, after the text to be processed is acquired, the position of the target term and the target term existing in the to-be-processed text is obtained by the preset text matching model. After determining the term information corresponding to the target term, the target term can be converted into a hyperlink according to the term information, so that the target term can have a connection relationship with the term information. When receiving the query instruction for the hyperlink sent by the terminal, the term information is sent to the terminal, so that when the viewer reads the text to be processed, the corresponding term information of the target term can be obtained in time, and the text is determined according to the to-be-processed text. The term information corresponding to the target term improves the accuracy of providing the corresponding term information, which saves the time for the viewer to query the target term, thereby improving the information providing efficiency of the text.

It should be understood that although the various steps in the flowchart of FIG. 2 are sequentially displayed as indicated by the arrows, these steps are not necessarily performed in the order indicated by the arrows. Except as explicitly stated herein, the execution of these steps is not strictly limited, and the steps may be performed in other orders. Moreover, at least some of the steps in FIG. 2 may include a plurality of sub-steps or stages, which are not necessarily performed at the same time, but may be executed at different times, the execution of these sub-steps or stages The order is also not necessarily sequential, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of the other steps.

In one of the embodiments, the text matching model can be constructed by a preset term tree and an execution function. For example, the preset text matching model can be an AC (Aho-Corasick automaton) automaton, and multiple target terms are constructed into a finite state automaton by an AC algorithm to implement one or more scan texts. Matching of target terms. As shown in Figure 3, the entry tree can be constructed according to multiple target terms, {Oriental Mandarin Hotel; Oriental Pearl; Oriental Oasis}, also known as Trie Tree (Dictionary Tree). Execution functions may include a goto function, a failure function, and an output function. The steering function refers to the next state that is transferred when the next character of the text to be processed is successfully matched; the invalid function refers to the next one that is transferred when the next character of the text to be processed is input, and the matching fails. State; the output function refers to the output after a node matches a target term. In the entry tree shown in Figure 3, each number is a state node, and each character in the input text to be processed is transferred from the current state node to the next state node. For example, if the text to be processed is “coming to the Oriental Pearl Hotel”, the text to be processed can be matched to node 0, node 1, node 2, node 7, and node 8 in turn by the transfer function. Since the next character of “bead” is “wine”, There are no matching nodes, so node 8 can be pointed to node 4 by a failure function, and node 5 and node 6 can continue to be matched. Since the node 6 is a leaf node, indicating that the term matching is successful, the matching target term "Oriental Pearl Hotel" is output through the output function. A leaf node is a node in the entry tree that has no children.

In one of the embodiments, when a plurality of matching possibilities are detected, the longest target term may also be taken as the matching target term according to the position of the matched state node. For example, when the text to be processed is input to the AC automaton corresponding to the entry tree shown in Figure 3, two results are matched: "Oriental Mandarin Hotel", the matching entry position is "0-6"; "Hua", the matching entry position is "0 ~ 4". Since “0～6” is longer than “0～4”, “Oriental Mandarin Hotel” can be selected as the matching target entry.

In one embodiment, determining a topic category of the target term according to the position of the entry includes: obtaining a preceding sentence and a subsequent statement of the target term in the to-be-processed text according to the position of the entry; extracting the preceding sentence and the subsequent statement The statement keyword; determine the topic category to which the statement keyword belongs, and use the determined topic category as the topic category of the target term. The preceding statement refers to the statement in front of the position of the target in the text to be processed; the subsequent statement refers to the statement after the position of the target in the text to be processed. The preceding and subsequent statements may be complete statements ending in a period, or incomplete statements ending in a period or a semicolon. The statement keyword refers to a keyword that reflects the topic category in the preceding sentence and subsequent statements, and can obtain the statement keyword by performing Chinese word segmentation on the preceding sentence and the subsequent statement. The keyword database of different topic categories may be preset for the extracted sentence keywords, and the preceding and subsequent sentences are matched with the keywords in the keyword database, and the matched keywords are used as the statement keywords. The number of matching of the matching keyword keywords in the same subject category is counted, and the subject category corresponding to the maximum matching number is used as the subject category to which the sentence keyword belongs.

For example, the text to be processed is “starting on the whole point, the journey is 20 minutes, the fare is 5 horses, the taxi needs 30 horses”, and the previous sentence “Ma Yuan” of the target entry “Take 20 minutes” can be extracted. And the following statement "Taxi requires 30 horses" in the statement keywords "trip" and "taxi". Since the "trip" and "taxi" belong to the keyword of the traffic subject category, it can be determined that the subject category of the target term "Ma Yuan" is also the traffic subject category. Correspondingly, the term information corresponding to the traffic subject category in the term information corresponding to the “Ma Yuan” can be obtained.

In one of the embodiments, sending the term information to the terminal includes: transmitting the term information to the terminal; the term information is used to generate a corresponding term popup box at the terminal. The term popup box refers to a popup box used by the terminal to display the term information corresponding to the target term. The entry pop-up box automatically determines the position of the pop-up display based on the position of the target entry in the browser window. For example, you can display the item pop-up box directly above the target entry, or you can display the word pop-up box on the side of the top and bottom of the window.

4A is a schematic diagram of a terminal displaying a term information through a hyperlink, including a target term 402 "horse", a term popup 404A, and a cursor 406. When it is detected that the cursor 406 acts on the click operation or the hovering operation of the target entry 402, a lookup instruction may be generated, and the lookup instruction is sent to the server, and the server may search for the target term 402 "mayuan" according to the lookup instruction. Entry information. When it is detected that the "Ma Yuan" corresponds to the item information of a plurality of subject types, the preceding sentence "Journey 20 minutes" of the target term "Ma Yuan" and the subsequent sentence "Taxi needs 30 Ma Yuan" can be extracted. The phrase keywords "trip" and "taxi". Since the "trip" and "taxi" belong to the keyword of the traffic subject category, it can be determined that the subject category of the target term "Ma Yuan" is also the traffic subject category. Correspondingly, the term information corresponding to the traffic subject category in the term information corresponding to the “Ma Yuan” can be obtained. After the server sends the determined term information to the terminal, the terminal may populate and generate a term popup 404A according to the term information, and the term popup box 404A is displayed above the target term. As shown in FIG. 4B, the terminal may also populate and generate an entry popup 404B according to the entry information, and the entry popup 404B is displayed on the sidebar of the browser window to avoid occluding the text around the target entry.

In one embodiment, each term information corresponding to the same target term may also be tagged, and the partial term information may be selected and sent to the terminal in combination with the preceding sentence of the target term and the statement keyword in the subsequent statement. . For example, for the target entry "Oriental Pearl", when the content of the pending text is "Eating in the Oriental Pearl", you can select the entry information corresponding to "Eating", such as the entry information of the "Food" label. It can be a brief introduction of the restaurant near the Oriental Pearl; when the content of the pending text is “Playing the Oriental Pearl”, you can select the entry information corresponding to “Play”, such as the entry information of the “Entertainment” label, which can be near the Oriental Pearl. A brief introduction to the entertainment activities and a ticket purchase link.

In one embodiment, the entry pop-up box includes a resource control; after the term information is sent to the terminal, the method further includes: counting the number of requests for the resource link request sent by the terminal within the preset duration; generating the resource link according to the number of instructions The resource link response is used to instruct the terminal to change the shape of the resource control according to the number of instructions.

A resource control is a control that encapsulates all or part of the term information. The term information includes but is not limited to a combination of one or more of picture information, text information, webpage links, audio information, etc., correspondingly, the resource control may be a control for turning to other webpage links, or may display image information. The control can also be a control for playing audio information, but is not limited thereto. After the terminal displays the entry pop-up box containing the resource control, it can also receive a click operation on the resource control. The terminal may generate a resource link request according to a click operation acting on the resource control, and send the resource link request to the server. The server may count the number of requests for resource link requests sent by the terminal within the preset duration, and generate a resource link response according to the number of instructions. The resource link response may include a shape parameter of the resource control, and the resource link response may be used to instruct the terminal to change the shape of the resource control according to the shape parameter. For example, the shape parameter can be generated according to the number of requests. When the number of requests is larger, a larger shape parameter can be generated, so the size of the resource control can be increased.

In one embodiment, the resource control included in the entry pop-up box can also be buried, so that the number of times the resource control click operation can be directly counted.

In one of the embodiments, the entry popup may include a plurality of regions in which at least one of text, a picture, a resource control, and the like may be displayed. For example, as shown in FIG. 4C, the entry popup 404C includes three regions, a region 404C-a, a region 404C-b, and a region 404C-c. The area 404C-a can be used to display the term interpretation text of the target term "Ma Yuan", the area 404C-b can be used to display the product information related to the target item "Ma Yuan", and the area 404C-c can be used to display the target entry "马元" pronunciation. The terminal sends the number of instructions b corresponding to the product information in the area 404C-b, respectively, and the number of instructions c corresponding to the pronunciation of the "Ma Yuan" in the area 404C-c within the statistical preset duration, according to the number of instructions b and the instruction The quantity c change area 404C-b and the area 404C-c account for the area of the entire entry popup. For example, when the number of instructions b is much larger than the number of instructions c, it means that the viewer's interest in the product information in the area 404C-b is far greater than the interest in the pronunciation of the "Ma Yuan" in the area 404C-c, which may be increased. The area 404C-b occupies an area of the entire vocabulary popup, and the reduced area 404C-c occupies the area of the entire vocabulary popup.

In the above embodiment, the shape of the resource control is changed by the number of requests for the resource link corresponding to the resource control in the entry pop-up box,

In one embodiment, as shown in FIG. 5, a text processing apparatus 500 is provided, including: a text processing module 502 to be processed for acquiring text to be processed; and a target term matching module 504 for processing Text inputting a preset text matching model, obtaining a matching target term and a term position of the target term in the to-be-processed text; the term information determining module 506 is configured to determine a word corresponding to the target term according to the to-be-processed text a piece of information; a hyperlink generating module 508, configured to convert a target term in the to-be-processed text into a hyperlink according to the term information and the term position; the term information sending module 510 is configured to receive the super-send sent by the terminal When the link is read, the term information is sent to the terminal.

In one embodiment, the target term matching module 504 is further configured to input the text to be processed into a preset text matching model; the text matching model is configured by a preset term tree and an execution function; and the text to be processed according to the execution function Matches with the preset term tree to get the matching target term and the position of the target term in the pending text.

In one embodiment, the term information determining module 506 is further configured to determine whether the target term corresponds to the term information of the plurality of topic categories; if yes, determine the topic category of the target term according to the term position; The term information of the subject category is used as the term information corresponding to the target term.

In one embodiment, the term information determining module 506 is further configured to: obtain a preceding sentence and a subsequent statement of the target term in the to-be-processed text according to the position of the entry; and extract the statement keyword in the preceding sentence and the subsequent statement; Determine the topic category to which the statement keyword belongs, and use the determined topic category as the topic category of the target term.

In one embodiment, the term position includes a starting position and an ending position; the hyperlink generating module 508 is further configured to insert a starting tag according to the entry information at a starting position corresponding to the target term; The corresponding end position is inserted into the end tag; the target term is converted into a hyperlink according to the start tag and the end tag; the hyperlink is used to connect the term information.

In one embodiment, the term information sending module 510 is further configured to send the term information to the terminal; the term information is used to generate a corresponding term popup box at the terminal.

In one embodiment, the entry pop-up box includes a resource control; the entry information sending module 510 is further configured to count the number of requests for the resource link request sent by the terminal within the preset duration; generate a resource link response according to the number of instructions; The response is used to instruct the terminal to change the shape of the resource control according to the number of instructions.

For specific definitions of the text processing apparatus, reference may be made to the definition of the text processing method in the above, and details are not described herein again. The various modules in the text processing apparatus described above may be implemented in whole or in part by software, hardware, and combinations thereof. Each of the above modules may be embedded in or independent of the processor in the computer device, or may be stored in a memory in the computer device in a software form, so that the processor invokes the operations corresponding to the above modules.

The text processing apparatus described above may be embodied in the form of a computer readable instruction that can be executed on a computer device as shown in FIG.

In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in FIG. 6. The computer device includes a processor, memory, network interface, and database connected by a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-transitory computer readable storage medium, an internal memory. The non-transitory computer readable storage medium stores an operating system, computer readable instructions, and a database. The internal memory provides an environment for the operation of an operating system and computer readable instructions in a non-transitory computer readable storage medium. The database of the computer device is used to store data such as text to be processed, a term tree, and the like. The network interface of the computer device is used to communicate with an external terminal via a network connection. For example, the computer device can receive the pending text sent by the terminal, and can also send the term information to the terminal. The computer readable instructions are executed by a processor to implement a text processing method.

It will be understood by those skilled in the art that the structure shown in FIG. 6 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation of the computer device to which the solution of the present application is applied. The specific computer device may It includes more or fewer components than those shown in the figures, or some components are combined, or have different component arrangements.

In one embodiment, a computer apparatus is provided comprising a memory and one or more processors having stored therein computer readable instructions that, when executed by a processor, implement any of the embodiments of the present application The steps provided for the text processing method.

In one of the embodiments, there is provided one or more non-transitory computer readable storage mediums storing computer readable instructions that, when executed by one or more processors, cause one or more processes The steps of the text processing method provided in any one of the embodiments of the present application are implemented.

One of ordinary skill in the art can understand that all or part of the process of implementing the above embodiments can be completed by computer readable instructions, which can be stored in a non-volatile computer. The readable storage medium, which when executed, may include the flow of an embodiment of the methods as described above. Any reference to a memory, storage, database, or other medium used in the various embodiments provided herein can include non-volatile and/or volatile memory. Non-volatile memory can include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of formats, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronization chain. Synchlink DRAM (SLDRAM), Memory Bus (Rambus) Direct RAM (RDRAM), Direct Memory Bus Dynamic RAM (DRDRAM), and Memory Bus Dynamic RAM (RDRAM).

The technical features of the above embodiments may be arbitrarily combined. For the sake of brevity of description, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, It is considered to be the range described in this specification.

The above-mentioned embodiments are merely illustrative of several embodiments of the present application, and the description thereof is more specific and detailed, but is not to be construed as limiting the scope of the invention. It should be noted that a number of variations and modifications may be made by those skilled in the art without departing from the spirit and scope of the present application. Therefore, the scope of the invention should be determined by the appended claims.

Claims

A text processing method comprising:

Get the text to be processed;

Inputting the to-be-processed text into a preset text matching model to obtain a matching target term and a term position of the target term in the to-be-processed text;

Determining the term information corresponding to the target term according to the to-be-processed text;

Converting the target term in the to-be-processed text into a hyperlink according to the term information and the term position; and

The term information is sent to the terminal when receiving a lookup instruction for the hyperlink sent by the terminal.
The method according to claim 1, wherein the text to be processed is input into a preset text matching model, and a matching target term and a word of the target term in the to-be-processed text are obtained. Location, including:

Inputting the to-be-processed text into a preset text matching model; the text matching model is configured by a preset term tree and an execution function; and

And matching the to-be-processed text with the preset term tree according to the execution function, to obtain a matching target term and a term position of the target term in the to-be-processed text.
The method according to claim 1, wherein the determining the term information corresponding to the target term according to the to-be-processed text comprises:

Determining whether the target term corresponds to entry information of multiple topic categories;

If yes, determining a subject category of the target term according to the term position; and

The term information belonging to the determined topic category is taken as the term information corresponding to the target term.
The method according to claim 3, wherein the determining the subject category of the target term according to the term position comprises:

Obtaining a preceding statement and a subsequent statement of the target entry in the to-be-processed text according to the term position;

Extracting the statement keywords in the preceding statement and the subsequent statement; and

Determining a topic category to which the sentence keyword belongs, and using the determined topic category as a topic category of the target term.
The method according to any one of claims 1 to 4, wherein the term position includes a start position and an end position; the said to be based on the term information and the term position Translating the target entry in the text into a hyperlink, including:

Inserting a start tag according to the entry information at a starting position corresponding to the target term;

Inserting an end tag at an end position corresponding to the target term; and

Converting the target term into a hyperlink according to the start tag and the end tag; the hyperlink is used to connect the term information.
The method according to any one of claims 1 to 4, wherein the transmitting the term information to the terminal comprises:

Sending the term information to the terminal; the term information is used to generate a corresponding term popup box at the terminal.
The method according to claim 6, wherein the entry pop-up box includes a resource control; after the sending the term information to the terminal, the method further includes:

Counting the number of requests for resource link requests sent by the terminal within the preset duration; and

Generating a resource link response according to the number of instructions; the resource link response is used to instruct the terminal to change a shape of the resource control according to the number of instructions.
A text processing device comprising:

a text obtaining module to be processed, which is used to obtain a text to be processed;

a target term matching module, configured to input the to-be-processed text into a preset text matching model, to obtain a matching target term and a term position of the target term in the to-be-processed text;

a term information determining module, configured to determine term information corresponding to the target term according to the to-be-processed text;

a hyperlink generating module, configured to convert the target term in the to-be-processed text into a hyperlink according to the term information and the term position; and

The term information sending module is configured to send the term information to the terminal when receiving a query instruction for the hyperlink sent by the terminal.
A computer device comprising a memory and one or more processors having stored therein computer readable instructions, the computer readable instructions being executed by the one or more processors to cause the one or more The processors perform the following steps:

Get the text to be processed;

Inputting the to-be-processed text into a preset text matching model to obtain a matching target term and a term position of the target term in the to-be-processed text;

Determining the term information corresponding to the target term according to the to-be-processed text;

Converting the target term in the to-be-processed text into a hyperlink according to the term information and the term position; and

The term information is sent to the terminal when receiving a lookup instruction for the hyperlink sent by the terminal.
The computer device according to claim 9, wherein the text to be processed is input into a preset text matching model, and a matching target term and the target term are obtained in the to-be-processed text. The steps of the entry location include the following steps:

Inputting the to-be-processed text into a preset text matching model; the text matching model is configured by a preset term tree and an execution function; and

And matching the to-be-processed text with the preset term tree according to the execution function, to obtain a matching target term and a term position of the target term in the to-be-processed text.
The computer device according to claim 9, wherein the step of determining the term information corresponding to the target term according to the to-be-processed text comprises performing the following steps:

Determining whether the target term corresponds to entry information of multiple topic categories;

If yes, determining a subject category of the target term according to the term position; and

The term information belonging to the determined topic category is taken as the term information corresponding to the target term.
The computer apparatus according to claim 11, wherein said step of determining a subject category of said target term based on said term position comprises performing the following steps:

Obtaining a preceding statement and a subsequent statement of the target entry in the to-be-processed text according to the term position;

Extracting the statement keywords in the preceding statement and the subsequent statement; and

Determining a topic category to which the sentence keyword belongs, and using the determined topic category as a topic category of the target term.
The computer device according to any one of claims 9 to 12, wherein the term position includes a start position and an end position; the said according to the term information and the term position The step of converting the target term in the pending text into a hyperlink includes performing the following steps:

Inserting a start tag according to the entry information at a starting position corresponding to the target term;

Inserting an end tag at an end position corresponding to the target term; and

Converting the target term into a hyperlink according to the start tag and the end tag; the hyperlink is used to connect the term information.
The computer device according to any one of claims 9 to 12, wherein the step of transmitting the term information to the terminal comprises performing the following steps:

Transmitting the term information to the terminal; the term information is used to generate a corresponding term popup box in the terminal, where the term popup box includes a resource control;

After the sending the term information to the terminal, the method further includes:

Counting the number of requests for resource link requests sent by the terminal within the preset duration; and

Generating a resource link response according to the number of instructions; the resource link response is used to instruct the terminal to change a shape of the resource control according to the number of instructions.
One or more non-transitory computer readable storage mediums storing computer readable instructions, when executed by one or more processors, cause the one or more processors to perform the following steps:

Get the text to be processed;

Inputting the to-be-processed text into a preset text matching model to obtain a matching target term and a term position of the target term in the to-be-processed text;

Determining the term information corresponding to the target term according to the to-be-processed text;

Converting the target term in the to-be-processed text into a hyperlink according to the term information and the term position; and

The term information is sent to the terminal when receiving a lookup instruction for the hyperlink sent by the terminal.
The storage medium according to claim 15, wherein the text to be processed is input into a preset text matching model, and a matching target term and the target term are obtained in the to-be-processed text. The steps of the entry location include the following steps:

Inputting the to-be-processed text into a preset text matching model; the text matching model is configured by a preset term tree and an execution function; and

And matching the to-be-processed text with the preset term tree according to the execution function, to obtain a matching target term and a term position of the target term in the to-be-processed text.
The storage medium according to claim 15, wherein the step of determining the term information corresponding to the target term according to the to-be-processed text comprises performing the following steps:

Determining whether the target term corresponds to entry information of multiple topic categories;

If yes, determining a subject category of the target term according to the term position; and

The term information belonging to the determined topic category is taken as the term information corresponding to the target term.
The storage medium according to claim 17, wherein said step of determining a subject category of said target term based on said term position comprises performing the following steps:

Obtaining a preceding statement and a subsequent statement of the target entry in the to-be-processed text according to the term position;

Extracting the statement keywords in the preceding statement and the subsequent statement; and

Determining a topic category to which the sentence keyword belongs, and using the determined topic category as a topic category of the target term.
The storage medium according to any one of claims 15 to 18, wherein the term position includes a start position and an end position; the said according to the term information and the term position The step of converting the target term in the pending text into a hyperlink includes performing the following steps:

Inserting a start tag according to the entry information at a starting position corresponding to the target term;

Inserting an end tag at an end position corresponding to the target term; and

Converting the target term into a hyperlink according to the start tag and the end tag; the hyperlink is used to connect the term information.
The storage medium according to any one of claims 15 to 8, wherein the step of transmitting the term information to the terminal comprises performing the following steps:

Transmitting the term information to the terminal; the term information is used to generate a corresponding term popup box in the terminal, where the term popup box includes a resource control;

After the sending the term information to the terminal, the method further includes:

Counting the number of requests for resource link requests sent by the terminal within the preset duration; and

Generating a resource link response according to the number of instructions; the resource link response is used to instruct the terminal to change a shape of the resource control according to the number of instructions.