CN110969007A - Information analysis method, platform and computer readable storage medium - Google Patents
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Abstract
The invention relates to the technical field of natural language processing, and provides an information analysis method, a platform and a computer readable storage medium, wherein the method comprises the following steps: generating at least one parsing component based on an algorithm of Natural Language Processing (NLP); receiving an analysis request of information to be processed, which is sent by a target object; determining a first target analysis component for analyzing the information to be processed based on the analysis request, wherein the at least one analysis component comprises the first target analysis component; and analyzing the information to be processed based on the first target analysis component, and sending an analysis result to the target object. The embodiment of the invention can improve the efficiency of realizing information analysis.
Description
Technical Field
The invention relates to the technical field of natural language processing, in particular to an information analysis method, an information analysis platform and a computer readable storage medium.
Background
Natural language refers to a language for communication between humans generated through natural evolution. Natural Language Processing (NLP) is a field of computer science, artificial intelligence, linguistics that focuses on the interaction between computer and human (Natural) Language.
In the prior art, when an algorithm of natural language processing is used for realizing information analysis, most users write codes by themselves to realize the self information analysis requirement, so that the efficiency of realizing information analysis is low.
Disclosure of Invention
The embodiment of the invention provides an information analysis method, a platform and a computer readable storage medium, which aim to solve the problem of low efficiency of realizing information analysis caused by the requirement of a user for writing codes by himself to realize information analysis in the prior art.
In order to solve the technical problem, the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides an information parsing method, where the method includes:
generating at least one parsing component based on an algorithm of Natural Language Processing (NLP);
receiving an analysis request of information to be processed, which is sent by a target object;
determining a first target analysis component for analyzing the information to be processed based on the analysis request, wherein the at least one analysis component comprises the first target analysis component;
and analyzing the information to be processed based on the first target analysis component, and sending an analysis result to the target object.
In a second aspect, an embodiment of the present invention provides a platform, where the platform includes:
the generating module is used for generating at least one analyzing component based on an algorithm of Natural Language Processing (NLP);
the first receiving module is used for receiving an analysis request of the information to be processed, which is sent by the target object;
a determining module, configured to determine, based on the parsing request, a first target parsing component for parsing the to-be-processed information, where the at least one parsing component includes the first target parsing component;
and the analysis module is used for analyzing the information to be processed based on the first target analysis component and sending an analysis result to the target object.
In a third aspect, an embodiment of the present invention provides a platform, including a processor, a memory, and a computer program stored on the memory and executable on the processor, where the computer program, when executed by the processor, implements the steps of the information parsing method according to the first aspect.
In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the information parsing method according to the first aspect.
In an embodiment of the invention, at least one parsing component is generated based on an algorithm of Natural Language Processing (NLP); receiving an analysis request of information to be processed, which is sent by a target object; determining a first target analysis component for analyzing the information to be processed based on the analysis request, wherein the at least one analysis component comprises the first target analysis component; and analyzing the information to be processed based on the first target analysis component, and sending an analysis result to the target object. Therefore, the first target analysis component is adopted for analyzing to respond to the analysis request of the target object, a user does not need to write codes by himself to achieve the self information analysis requirement, and the efficiency of achieving the information analysis can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a flowchart of an information parsing method according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a platform according to an embodiment of the present invention;
fig. 3 is a second schematic structural diagram of a platform according to an embodiment of the present invention;
fig. 4 is a third schematic structural diagram of a platform according to an embodiment of the present invention;
fig. 5 is a fourth schematic structural diagram of a platform according to an embodiment of the present invention.
Detailed Description
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 some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the embodiment of the present invention, the platform may include an electronic device, including but not limited to a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a vehicle-mounted mobile terminal, a server, and the like, and may further include a program running on the electronic device, such as an application program and the like.
Referring to fig. 1, fig. 1 is a flowchart of an information parsing method according to an embodiment of the present invention, and as shown in fig. 1, the method includes the following steps:
The platform may generate at least one parsing component based on an NLP algorithm, where the NLP algorithm may be a basic algorithm of the NLP, or an algorithm improved on the basic algorithm of the NLP. Each parsing component may include one or more NLP algorithms each having independent data processing capabilities, for example, the NLP algorithms may be various NLP algorithms such as a word segmentation algorithm, a sentence segmentation algorithm, a rule matching algorithm, and a stop word filtering algorithm. Each parsing component can implement an NLP skill, for example, the parsing component can be a parsing component for implementing query type information parsing, specifically, information related to query weather can be parsed, or information related to query garbage classification can be parsed; or, the analysis component can also be an analysis component for realizing resource search information; alternatively, the parsing component may also be a parsing component that implements parsing of the play class information, and the like. The at least one parsing component can be provided for different devices and different partners to invoke to implement various technical support related to information parsing.
And 102, receiving an analysis request of the information to be processed, which is sent by the target object.
The target object may be a terminal device that requires an information parsing function, for example, a mobile phone, a computer, a camera, a wearable device, or the like, or may also be a software program that runs on the terminal device and requires an information parsing function. The information to be processed may be voice information, or may be text information or the like. The target object can receive voice information, and after the voice information is received, an analysis component on the platform can be directly called to analyze the voice information; or after receiving the voice information, the target object may process the voice information into text information, send an analysis request to the platform, and request to invoke an analysis component on the platform to analyze the text information. The analysis request is used for requesting the platform to analyze the information to be processed.
Wherein the first target resolution component may comprise one or more resolution components. The parsing request may include the first target parsing component, and the first target parsing component may be a parsing component determined by the target object based on a target keyword in the to-be-processed information; or the analysis request may include the information to be processed, and the platform may determine, based on a target keyword in the information to be processed, a first target analysis component that analyzes the information to be processed; or, the parsing request may include an identification number, where the identification number corresponds to part or all of the parsing components in the at least one parsing component, and an parsing component that parses the to-be-processed information in the parsing components corresponding to the identification number may be determined as the first target parsing component. The embodiment of the present invention does not limit this.
And 104, analyzing the information to be processed based on the first target analysis component, and sending an analysis result to the target object.
And the analysis result is obtained by analyzing the information to be processed by adopting the first target analysis component. For example, the target object is a mobile phone, the platform is a server, the user inputs 'i want to watch XX movie' to the mobile phone by voice, the mobile phone sends the voice information to the server, the server analyzes the voice information by adopting an analysis component, the resource name of XX movie is returned to the mobile phone, and the mobile phone searches the resource of XX movie and shows the resource to the user for watching.
In an embodiment of the invention, at least one parsing component is generated based on an algorithm of Natural Language Processing (NLP); receiving an analysis request of information to be processed, which is sent by a target object; determining a first target analysis component for analyzing the information to be processed based on the analysis request, wherein the at least one analysis component comprises the first target analysis component; and analyzing the information to be processed based on the first target analysis component, and sending an analysis result to the target object. Therefore, the first target analysis component is adopted for analyzing to respond to the analysis request of the target object, a user does not need to write codes by himself to achieve the self information analysis requirement, and the efficiency of achieving the information analysis can be improved.
Optionally, the parsing request includes an identification number, and determining a first target parsing component for parsing the to-be-processed information based on the parsing request includes:
and determining an analysis component for analyzing the information to be processed in the analysis components corresponding to the identification number as the first target analysis component, wherein the analysis component corresponding to the identification number is an analysis component which has a corresponding relation with the identification number in the at least one analysis component.
The identification number may be a number, a letter, a symbol, or the like, or may also be a combination of any two or three of the number, the letter, and the symbol. In a case that the at least one parsing component only includes one parsing component, the identification number may have a corresponding relationship with all parsing components in the at least one parsing component; in a case where the at least one parsing component includes a plurality of parsing components, the identification number may have a correspondence with a part of or all of the at least one parsing component. The analysis component corresponding to the identification number can report the target object to the platform when the target object is communicated with the platform for the first time, or report the target object to the platform according to the self capacity range; or, a parsing component corresponding to the identification number may be directly configured on the platform.
In addition, after receiving the analysis request sent by the target object, the information to be processed is analyzed only in the range of the analysis component corresponding to the identification number of the target object. If the analysis component corresponding to the identification number comprises all analysis components required for analyzing the information to be processed, determining all analysis components required for analyzing the information to be processed as first target analysis components; if the part of the analysis components needed for analyzing the information to be processed is not included in the analysis components corresponding to the identification numbers, the analysis components which exist in the analysis components corresponding to the identification numbers and the analysis components needed for analyzing the information to be processed at the same time are determined as first target analysis components.
For example, in practical application, the platform includes analysis components 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10, the analysis components corresponding to the identification numbers of the target object a are 1, 3, 4, and 5, the analysis components corresponding to the identification numbers of the target object B are 1, 2, 4, 5, 6, and 7, the analysis components corresponding to the identification numbers of the target object C are 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10, and when an analysis request for the to-be-processed information sent by the target object a is received, if the analysis components required for analyzing the to-be-processed information sent by the target object a are 1, 3, and 4, the to-be-processed information sent by the target object a is analyzed by the analysis components 1, 3, and 4; when an analysis request of information to be processed sent by a target object B is received, if analysis components required for analyzing the information to be processed sent by the target object B are 1, 2 and 9, analyzing the information to be processed sent by the target object B by adopting the analysis components 1 and 2; when receiving the analysis request of the to-be-processed information sent by the target object C, if the analysis component required for analyzing the to-be-processed information sent by the target object C is not any one of the analysis components 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10, an error analysis message may be returned to the target object C.
Furthermore, the target object is managed by the identification number, so that when a problem occurs, the problem can be timely located, and the problem can be quickly solved. For example, when a certain parsing component causes a problem only when a target object with a specific identification number is called, the problem may be checked for the parsing component corresponding to the identification number.
In this embodiment, the analysis component that analyzes the to-be-processed information in the analysis components corresponding to the identification number is determined as the first target analysis component, so that the identification number identifies the target object, the analysis components corresponding to the target object are conveniently managed, the first target analysis component can be determined within the range of the analysis components corresponding to the target object, and errors caused by analysis results exceeding the capability range of the target object cannot occur.
Optionally, the method further includes:
receiving an updating request for updating the analysis component corresponding to the identification number, which is sent by the target object;
and updating the analysis component corresponding to the identification number based on the updating request.
The target object can update the analysis component corresponding to the identification number of the target object in real time. For example, a target object is a certain terminal device, and only a camera is initially configured on the terminal device, but a screen is not configured, so that an analysis component corresponding to an identification number reported to a platform by the terminal device only includes an analysis component related to camera capabilities, but does not include an analysis component related to screen capabilities, when the terminal device receives a voice message "i want to shoot xx", the terminal device can analyze the voice message through the analysis component related to camera capabilities, but when the terminal device receives the voice message "i want to see xx", the analysis component related to screen capabilities cannot be called to analyze the voice message. After the terminal equipment is configured with the screen, the analysis component corresponding to the identification number of the terminal equipment can be updated, and the analysis component related to the screen capability is added to the analysis component corresponding to the identification number of the terminal equipment.
In this embodiment, an update request for updating the parsing component corresponding to the identification number, which is sent by the target object, is received, and the parsing component corresponding to the identification number is updated based on the update request, so that the target object can automatically update the parsing component corresponding to the identification number according to the change of the self-capability, and has strong adaptability.
Optionally, the method further includes:
receiving a modification request sent by the target object for modifying a second target analysis component, wherein the at least one analysis component comprises the second target analysis component;
modifying the second target parsing component based on the modification request;
and adding the modified second target analysis component to the analysis component corresponding to the identification number.
And the target object can modify the second target analysis component according to the requirement of the target object. The modified second target analysis component is added to the analysis component corresponding to the identification number, can not be called by other target objects, and has uniqueness; or the system can be opened to call other target objects, is convenient to expand and has stronger openness.
In this embodiment, a modification request for modifying a second target analysis component sent by the target object is received, where the at least one analysis component includes the second target analysis component, the second target analysis component is modified based on the modification request, and the modified second target analysis component is added to the analysis component corresponding to the identification number, so that the target object can set its own customization skills on the platform independently without affecting other skills, and has a strong expansion capability.
Optionally, the parsing request includes the first target parsing component, where the first target parsing component is a parsing component determined by the target object based on the target keyword in the information to be processed.
The target object can preprocess information to be processed, determine a first target analysis component for analyzing the information to be processed based on the analysis request according to a preprocessing result, carry the first target analysis component in the analysis request sent to the platform, and obtain the first target analysis component after the platform receives the analysis request. The target keyword may be a preset keyword, or the target keyword may have an association relationship with the parsing component, for example, a name of the parsing component or the function description information includes the target keyword.
In this embodiment, the parsing request includes the first target parsing component, and the first target parsing component is a parsing component determined by the target object based on the target keyword in the information to be processed, so that the determination of the first target parsing component by the target object can reduce the workload of the platform and further improve the efficiency of the platform in performing information parsing.
Optionally, the parsing request includes the to-be-processed information, and determining a first target parsing component for parsing the to-be-processed information based on the parsing request includes: and determining a first target analysis component for analyzing the information to be processed based on the target keywords in the information to be processed.
After receiving an analysis request of information to be processed sent by a target object, the platform preprocesses the information to be processed and determines a first target analysis component for analyzing the information to be processed according to a preprocessing result. The preprocessing may be to identify a target keyword in the information to be processed, for example, if it is identified that the information to be processed includes the target keyword "weather", the first target parsing component may be considered as a parsing component for parsing and querying weather-related information, and if it is identified that the information to be processed includes the target keyword "watch", the first target parsing component may be considered as a parsing component for parsing video playing information. The target keyword may be a preset keyword, or the target keyword may have an association relationship with the parsing component, for example, a name of the parsing component or the function description information includes the target keyword.
In this embodiment, the analysis request includes the to-be-processed information, and the first target analysis component for analyzing the to-be-processed information is determined based on the analysis request based on the target keyword in the to-be-processed information, so that the platform determines the first target analysis component uniformly through the target keyword in the to-be-processed information, and thus the workload of the target object can be reduced.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a platform according to an embodiment of the present invention, and as shown in fig. 2, the platform 200 includes:
a generating module 201, configured to generate at least one parsing component based on an algorithm of natural language processing NLP;
the first receiving module 202 is configured to receive an analysis request of information to be processed, which is sent by a target object;
a determining module 203, configured to determine, based on the parsing request, a first target parsing component for parsing the to-be-processed information, where the at least one parsing component includes the first target parsing component;
the analysis module 204 is configured to analyze the to-be-processed information based on the first target analysis component, and send an analysis result to the target object.
Optionally, the parsing request includes an identification number, and the determining module 203 is specifically configured to:
and determining an analysis component for analyzing the information to be processed in the analysis components corresponding to the identification number as the first target analysis component, wherein the analysis component corresponding to the identification number is an analysis component which has a corresponding relation with the identification number in the at least one analysis component.
Optionally, as shown in fig. 3, the platform 200 further includes:
a second receiving module 205, configured to receive an update request for updating the parsing component corresponding to the identification number, where the update request is sent by the target object;
and the updating module 206 is configured to update the parsing component corresponding to the identification number based on the update request.
Optionally, as shown in fig. 4, the platform 200 further includes:
a third receiving module 207, configured to receive a modification request sent by the target object to modify a second target parsing component, where the at least one parsing component includes the second target parsing component;
a modification module 208 for modifying the second target resolution component based on the modification request;
an adding module 209, configured to add the modified second target parsing component to the parsing component corresponding to the identification number.
Optionally, the parsing request includes the first target parsing component, where the first target parsing component is a parsing component determined by the target object based on the target keyword in the information to be processed; alternatively, the first and second electrodes may be,
the analysis request includes the information to be processed, and the determining module 203 is specifically configured to: and determining a first target analysis component for analyzing the information to be processed based on the target keywords in the information to be processed.
The platform can implement each process implemented in the method embodiment of fig. 1, and is not described here again to avoid repetition.
Referring to fig. 5, fig. 5 is a fourth schematic structural diagram of a platform according to an embodiment of the present invention, as shown in fig. 5, the platform 300 includes: a memory 302, a processor 301, and a program stored on the memory 302 and executable on the processor 301, wherein:
the processor 301 reads the program in the memory 302 for executing:
generating at least one parsing component based on an algorithm of Natural Language Processing (NLP);
receiving an analysis request of information to be processed, which is sent by a target object;
determining a first target analysis component for analyzing the information to be processed based on the analysis request, wherein the at least one analysis component comprises the first target analysis component;
and analyzing the information to be processed based on the first target analysis component, and sending an analysis result to the target object.
In an embodiment of the invention, at least one parsing component is generated based on an algorithm of Natural Language Processing (NLP); receiving an analysis request of information to be processed, which is sent by a target object; determining a first target analysis component for analyzing the information to be processed based on the analysis request, wherein the at least one analysis component comprises the first target analysis component; and analyzing the information to be processed based on the first target analysis component, and sending an analysis result to the target object. Therefore, the first target analysis component is adopted for analyzing to respond to the analysis request of the target object, a user does not need to write codes by himself to achieve the self information analysis requirement, and the efficiency of achieving the information analysis can be improved.
Optionally, the parsing request includes an identification number, and the determining, by the processor 301, a first target parsing component for parsing the to-be-processed information based on the parsing request includes:
and determining an analysis component for analyzing the information to be processed in the analysis components corresponding to the identification number as the first target analysis component, wherein the analysis component corresponding to the identification number is an analysis component which has a corresponding relation with the identification number in the at least one analysis component.
Optionally, the processor 301 is further configured to perform:
receiving an updating request for updating the analysis component corresponding to the identification number, which is sent by the target object;
and updating the analysis component corresponding to the identification number based on the updating request.
Optionally, the processor 301 is further configured to perform:
receiving a modification request sent by the target object for modifying a second target analysis component, wherein the at least one analysis component comprises the second target analysis component;
modifying the second target parsing component based on the modification request;
and adding the modified second target analysis component to the analysis component corresponding to the identification number.
Optionally, the parsing request includes the first target parsing component, where the first target parsing component is a parsing component determined by the target object based on the target keyword in the information to be processed; alternatively, the first and second electrodes may be,
the parsing request includes the to-be-processed information, and the determining, by the processor 301, a first target parsing component for parsing the to-be-processed information based on the parsing request includes: and determining a first target analysis component for analyzing the information to be processed based on the target keywords in the information to be processed.
In fig. 5, the bus architecture may include any number of interconnected buses and bridges, with one or more processors represented by processor 301 and various circuits of memory represented by memory 302 being linked together. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface.
The processor 301 is responsible for managing the bus architecture and general processing, and the memory 302 may store data used by the processor 301 in performing operations.
It should be noted that any implementation manner in the method embodiment shown in fig. 1 in the embodiment of the present invention may be implemented by the platform in the embodiment, and the same beneficial effects are achieved, which is not described herein again.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the information analysis method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (12)
1. An information parsing method, the method comprising:
generating at least one parsing component based on an algorithm of Natural Language Processing (NLP);
receiving an analysis request of information to be processed, which is sent by a target object;
determining a first target analysis component for analyzing the information to be processed based on the analysis request, wherein the at least one analysis component comprises the first target analysis component;
and analyzing the information to be processed based on the first target analysis component, and sending an analysis result to the target object.
2. The method according to claim 1, wherein the parsing request includes an identification number, and the determining a first target parsing component for parsing the to-be-processed information based on the parsing request includes:
and determining an analysis component for analyzing the information to be processed in the analysis components corresponding to the identification number as the first target analysis component, wherein the analysis component corresponding to the identification number is an analysis component which has a corresponding relation with the identification number in the at least one analysis component.
3. The method of claim 2, further comprising:
receiving an updating request for updating the analysis component corresponding to the identification number, which is sent by the target object;
and updating the analysis component corresponding to the identification number based on the updating request.
4. The method of claim 2, further comprising:
receiving a modification request sent by the target object for modifying a second target analysis component, wherein the at least one analysis component comprises the second target analysis component;
modifying the second target parsing component based on the modification request;
and adding the modified second target analysis component to the analysis component corresponding to the identification number.
5. The method according to claim 1, wherein the parsing request includes the first target parsing component, and the first target parsing component is a parsing component determined by the target object based on a target keyword in the information to be processed; alternatively, the first and second electrodes may be,
the analysis request comprises the information to be processed, and the determining of the first target analysis component for analyzing the information to be processed based on the analysis request comprises the following steps: and determining a first target analysis component for analyzing the information to be processed based on the target keywords in the information to be processed.
6. A platform, characterized in that the platform comprises:
the generating module is used for generating at least one analyzing component based on an algorithm of Natural Language Processing (NLP);
the first receiving module is used for receiving an analysis request of the information to be processed, which is sent by the target object;
a determining module, configured to determine, based on the parsing request, a first target parsing component for parsing the to-be-processed information, where the at least one parsing component includes the first target parsing component;
and the analysis module is used for analyzing the information to be processed based on the first target analysis component and sending an analysis result to the target object.
7. The platform of claim 5, wherein the parsing request includes an identification number, and the determining module is specifically configured to:
and determining an analysis component for analyzing the information to be processed in the analysis components corresponding to the identification number as the first target analysis component, wherein the analysis component corresponding to the identification number is an analysis component which has a corresponding relation with the identification number in the at least one analysis component.
8. The platform of claim 6, further comprising:
the second receiving module is used for receiving an updating request which is sent by the target object and used for updating the analysis component corresponding to the identification number;
and the updating module is used for updating the analysis component corresponding to the identification number based on the updating request.
9. The platform of claim 6, further comprising:
a third receiving module, configured to receive a modification request sent by the target object to modify a second target parsing component, where the at least one parsing component includes the second target parsing component;
a modification module to modify the second target resolution component based on the modification request;
and the adding module is used for adding the modified second target analysis component to the analysis component corresponding to the identification number.
10. The platform of claim 6, wherein the parsing request includes the first target parsing component, and the first target parsing component is a parsing component determined by the target object based on a target keyword in the information to be processed; alternatively, the first and second electrodes may be,
the analysis request includes the information to be processed, and the determining module is specifically configured to: and determining a first target analysis component for analyzing the information to be processed based on the target keywords in the information to be processed.
11. A platform comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, the computer program when executed by the processor implementing the steps of the information parsing method of any one of claims 1-5.
12. A computer-readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, realizes the steps of the information parsing method according to any one of claims 1 to 5.
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| CN104360994A (en) * | 2014-12-04 | 2015-02-18 | 科大讯飞股份有限公司 | Natural language understanding method and natural language understanding system |
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