CN110263137A - The extracting method and device of subject key words, electronic equipment - Google Patents
The extracting method and device of subject key words, electronic equipment Download PDFInfo
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- CN110263137A CN110263137A CN201910468420.5A CN201910468420A CN110263137A CN 110263137 A CN110263137 A CN 110263137A CN 201910468420 A CN201910468420 A CN 201910468420A CN 110263137 A CN110263137 A CN 110263137A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/332—Query formulation
- G06F16/3329—Natural language query formulation or dialogue systems
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
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- G06F16/335—Filtering based on additional data, e.g. user or group profiles
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
This specification one or more embodiment provides the extracting method and device, electronic equipment of a kind of subject key words, which comprises target question and answer entry is read from question and answer type knowledge base；Wherein, the target question and answer entry includes problem data and answer data；Keyword is extracted from described problem data and the answer data respectively；It determines and whether there is identical target keyword from the keyword extracted in described problem data and from the keyword extracted in the answer data；If there is identical target keyword, then the target keyword is determined as to the subject key words of the target question and answer entry.
Description
Technical field
This specification one or more embodiment is related to computer application technology more particularly to a kind of subject key words
Extracting method and device, electronic equipment.
Background technique
It, all can be by some common problems and corresponding answer (Frequently Asked in many technical fields
Questions, FAQ) it records, in order to which answer can be quickly found out when being subsequently encountered same problem.With recording
The problem and answer come are more and more, it will usually by these problems and answer typing to database, form knowledge base.And with knowing
When data volume in knowledge library is increasing, it usually needs classify to the entry in knowledge base, in order to be carried out to knowledge base
Quick-searching.
Summary of the invention
This specification proposes a kind of extracting method of subject key words, which comprises
Target question and answer entry is read from question and answer type knowledge base；Wherein, the target question and answer entry include problem data and
Answer data；
Keyword is extracted from described problem data and the answer data respectively；
It determines from the keyword extracted in described problem data and from the keyword extracted in the answer data
With the presence or absence of identical target keyword；
If there is identical target keyword, then the target keyword is determined as to the master of the target question and answer entry
Inscribe keyword.
Optionally, the method also includes:
Based on the subject key words of the target question and answer entry, tag along sort is added for the target question and answer entry.
Optionally, the subject key words based on the target question and answer entry, for target question and answer entry addition point
Class label, comprising:
If there are multiple subject key words for the target question and answer entry, it is determined that in described problem data and the answer
The most target topic keyword of frequency of occurrence in data, and using the target topic keyword as the target question and answer entry
Tag along sort store to the question and answer type knowledge base；
If the subject key words of the target question and answer entry existence anduniquess, using the target topic keyword as institute
The tag along sort for stating target question and answer entry is stored to the question and answer type knowledge base.
Optionally, the method also includes:
The subject key words are added to the search key collection of the search engine docked with the question and answer type knowledge base
It closes.
Optionally, keyword extraction algorithm used by keyword is extracted from described problem data and the answer data
For TextRank algorithm or TF-IDF algorithm.
This specification also proposes a kind of extraction element of subject key words, and described device includes:
Read module, for reading target question and answer entry from question and answer type knowledge base；Wherein, the target question and answer entry packet
Include problem data and answer data；
Extraction module, for extracting keyword from described problem data and the answer data respectively；
First determining module, for determining from the keyword extracted in described problem data and from the answer data
It whether there is identical target keyword in the keyword extracted；
Second determining module, for the target keyword being determined as described when there are identical target keyword
The subject key words of target question and answer entry.
Optionally, described device further include:
First adding module is the target question and answer entry for the subject key words based on the target question and answer entry
Add tag along sort.
Optionally, first adding module is specifically used for:
If there are multiple subject key words for the target question and answer entry, it is determined that in described problem data and the answer
The most target topic keyword of frequency of occurrence in data, and using the target topic keyword as the target question and answer entry
Tag along sort store to the question and answer type knowledge base；
If the subject key words of the target question and answer entry existence anduniquess, using the target topic keyword as institute
The tag along sort for stating target question and answer entry is stored to the question and answer type knowledge base.
Optionally, described device further include:
Second adding module is drawn for the subject key words to be added to the search docked with the question and answer type knowledge base
The search key set held up.
Optionally, keyword extraction algorithm used by keyword is extracted from described problem data and the answer data
For TextRank algorithm or TF-IDF algorithm.
This specification also proposes a kind of electronic equipment, and the electronic equipment includes:
Processor；
For storing the memory of machine-executable instruction；
It wherein, can by reading and executing the machine corresponding with the control logic of keyword extraction of the memory storage
It executes instruction, the processor is prompted to:
Target question and answer entry is read from question and answer type knowledge base；Wherein, the target question and answer entry include problem data and
Answer data；
Keyword is extracted from described problem data and the answer data respectively；
It determines from the keyword extracted in described problem data and from the keyword extracted in the answer data
With the presence or absence of identical target keyword；
If there is identical target keyword, then the target keyword is determined as to the master of the target question and answer entry
Inscribe keyword.
In the above-mentioned technical solutions, it for question and answer type knowledge base, can ask respectively what question and answer entry therein was included
Inscribe data and answer data and carry out keyword extraction, can will further be extracted from the problem data with from the answer
The identical keyword extracted in data is determined as the subject key words of the question and answer entry.In this way, on the one hand can use each
The subject key words of a question and answer entry classify to the question and answer entry in question and answer type knowledge base, so as to be convenient for utilizing theme
Keyword carries out quick-searching to question and answer type knowledge base.On the other hand, since subject key words are extracted from problem data
The identical keyword with what is extracted from answer data, therefore can reflect more accurately question and answer entry it is main in
Hold, so as to improve the retrieval accuracy for being directed to question and answer type knowledge base.
Detailed description of the invention
Fig. 1 is a kind of schematic diagram of the extraction system of subject key words shown in one exemplary embodiment of this specification；
Fig. 2 is a kind of flow chart of the extracting method of subject key words shown in one exemplary embodiment of this specification；
Fig. 3 is a kind of schematic diagram of user interface shown in one exemplary embodiment of this specification；
Fig. 4 is the schematic diagram of another user interface shown in one exemplary embodiment of this specification；
Fig. 5 is electronic equipment where a kind of extraction element of subject key words shown in one exemplary embodiment of this specification
Hardware structure diagram；
Fig. 6 is a kind of block diagram of the extraction element of subject key words shown in one exemplary embodiment of this specification.
Specific embodiment
Example embodiments are described in detail here, and the example is illustrated in the accompanying drawings.Following description is related to
When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistent with this specification one or more embodiment.Phase
Instead, they are only some aspects phases with the one or more embodiments of as detailed in the attached claim, this specification
The example of consistent device and method.
It is only to be not intended to be limiting this explanation merely for for the purpose of describing particular embodiments in the term that this specification uses
Book.The "an" of used singular, " described " and "the" are also intended to packet in this specification and in the appended claims
Most forms are included, unless the context clearly indicates other meaning.It is also understood that term "and/or" used herein is
Refer to and includes that one or more associated any or all of project listed may combine.
It will be appreciated that though various information may be described using term first, second, third, etc. in this specification, but
These information should not necessarily be limited by these terms.These terms are only used to for same type of information being distinguished from each other out.For example, not taking off
In the case where this specification range, the first information can also be referred to as the second information, and similarly, the second information can also be claimed
For the first information.Depending on context, word as used in this " if " can be construed to " ... when " or
" when ... " or " in response to determination ".
This specification is intended to provide one kind for the problem that question and answer type knowledge base, by the included data of question and answer entry therein
And identical keyword in answer data, it is determined as the technical solution of the subject key words of the question and answer entry.
In specific implementation, the question and answer entry in question and answer type knowledge base can be traversed, with from the question and answer type knowledge
Some question and answer entry not being classified is read in library.It is possible to further it is included from the question and answer entry the problem of data in mention
Keyword is taken, and extracts keyword from the answer data that the question and answer entry is included.
It is subsequent, it can be by will be from the keyword that is extracted in the problem data and the pass that is extracted from the answer data
Keyword is compared, come the keyword for determining the keyword extracted from the problem data with extracting from the answer data
In whether there is identical target keyword.
If there is identical target keyword, then the theme that the target keyword can be determined as to the question and answer entry closes
Keyword.
In this manner, the theme according to each question and answer entry in question and answer type knowledge base can be further realized
Keyword classifies to the question and answer entry in the question and answer type knowledge base.
In the above-mentioned technical solutions, it for question and answer type knowledge base, can ask respectively what question and answer entry therein was included
Inscribe data and answer data and carry out keyword extraction, can will further be extracted from the problem data with from the answer
The identical keyword extracted in data is determined as the subject key words of the question and answer entry.In this way, on the one hand can use each
The subject key words of a question and answer entry classify to the question and answer entry in question and answer type knowledge base, so as to be convenient for utilizing theme
Keyword carries out quick-searching to question and answer type knowledge base.On the other hand, since subject key words are extracted from problem data
The identical keyword with what is extracted from answer data, therefore can reflect more accurately question and answer entry it is main in
Hold, so as to improve the retrieval accuracy for being directed to question and answer type knowledge base.
This specification is described below by specific embodiment.
It is a kind of schematic diagram of keyword extraction system shown in one exemplary embodiment of this specification with reference to Fig. 1, Fig. 1.
As shown in Figure 1, the keyword extraction system may include question and answer type knowledge base, and with the question and answer type knowledge base pair
The electronic equipment connect.Wherein, which can carry out keyword extraction for the question and answer type knowledge base, which can
To be server, computer, mobile phone, tablet device, laptop or palm PC (PDAs, Personal Digital
Assistants) etc., this specification to this with no restriction.
In practical applications, question and answer type knowledge base can be the knowledge base for storing question and answer type data, question and answer type data
It can be stored in the form of question and answer entry in question and answer type database, a question and answer entry may include a problem and a use
In the answer for answering the problem.For example, the question and answer type data stored in question and answer type knowledge base can be as shown in table 1 below:
Table 1
Wherein, answer 1 can be for answer a question 1 answer, problem 1 and answer 1 form question and answer entry 1；Answer 2 can
Be for answer a question 2 answer, problem 2 and answer 2 form question and answer entry 2；And so on.
It is a kind of stream of the extracting method of subject key words shown in one exemplary embodiment of this specification with reference to Fig. 2, Fig. 2
Cheng Tu.This method can be applied to electronic equipment shown in FIG. 1, comprising the following steps:
Step 202, target question and answer entry is read from question and answer type knowledge base；Wherein, the target question and answer entry includes asking
Inscribe data and answer data；
Step 204, keyword is extracted from described problem data and the answer data respectively；
Step 206, determination is extracted from the keyword extracted in described problem data and from the answer data
It whether there is identical target keyword in keyword；
Step 208, if there is identical target keyword, then the target keyword is determined as the target question and answer
The subject key words of entry.
In the present embodiment, electronic equipment can read question and answer entry from interfaced question and answer type knowledge base first
(referred to as target question and answer entry).Wherein, which may include problem data and answer data.
For question and answer type knowledge base shown in the above table 1, the electronic equipment docked with the question and answer type knowledge base can be from this
The question and answer entry 1 including problem 1 (i.e. problem data) and answer 1 (i.e. answer data) is read in question and answer type knowledge base is used as target
Question and answer entry, can also read from the question and answer type knowledge base includes problem 2 (i.e. problem data) and answer 2 (i.e. answer data)
Question and answer entry 2 be used as target question and answer entry, and so on.
After reading above-mentioned target question and answer entry, can be further included from the target question and answer entry the problem of number
Keyword is extracted according to middle extraction keyword, and from the answer data that the target question and answer entry is included.
In a kind of embodiment shown, it can be based on preset keyword extraction algorithm, mentioned from the problem data
Take keyword.Wherein, keyword extraction algorithm can be preset by technical staff, specifically can be TextRank algorithm or
TF-IDF (Term Frequency-Inverse Document Frequency, the common weighting skill of information retrieval data mining
Art) the common keyword extraction algorithm such as algorithm, details are not described herein for this specification.
Likewise it is possible to be based on preset keyword extraction algorithm, keyword is extracted from the answer data.
It should be noted that the consistency in order to guarantee keyword extraction, mentions for keyword used in problem data
Algorithm is taken, it is identical with can be for keyword extraction algorithm used in answer data.But in practical applications, for asking
Keyword extraction algorithm used in data is inscribed, is also possible to difference with for keyword extraction algorithm used in answer data
, this specification to this with no restriction.
Respectively after extracting keyword in above problem data and above-mentioned answer data, can further by from this
The keyword extracted in problem data is compared with the keyword extracted from the answer data, to determine from the problem
The keyword extracted in data whether there is identical keyword (referred to as with from the keyword extracted in the answer data
Target keyword).
If it is determined that there are identical target keywords, then the target keyword can be determined as to above-mentioned target question and answer item
Purpose subject key words.Wherein, which is that can be used for reflecting the pass of the main contents of the target question and answer entry
Keyword.
As an example it is assumed that from the keyword that some question and answer entry extracts in data the problem of included include: key
Word 1, keyword 2 and key to the issue word 3, the keyword extracted from the answer data that the question and answer entry is included include: to close
Keyword 2, keyword 3 and keyword 4.In this case, it is answered by the keyword extracted from the problem data with from this
After the keyword extracted in case data is compared, it can determine that there are identical keyword 2 and keywords 3, i.e. keyword 2
It all can serve as target keyword with keyword 3.It is subsequent, keyword 2 and keyword 3 can be determined as to the master of the question and answer entry
Inscribe keyword.
In a kind of embodiment shown, after the subject key words that above-mentioned target question and answer entry has been determined, Ke Yijin
The target question and answer entry is judged to one step with the presence or absence of multiple subject key words, i.e. whether the target question and answer entry has and only one
A subject key words.
If the subject key words of the target question and answer entry existence anduniquess, i.e., the target question and answer entry one and only one master
Keyword is inscribed, then can directly be stored the subject key words as the label of the target question and answer entry to above-mentioned question and answer type knowledge
Tag along sort is directly added in the question and answer type knowledge base using the subject key words for the target question and answer entry in library.
If there are multiple subject key words for the target question and answer entry, each subject key words can be counted respectively at this
The number occurred in the problem of target question and answer entry is included data and answer data, to determine in the problem data and the answer
The most subject key words of frequency of occurrence (referred to as target topic keyword) in data.It is subsequent, it can be by target topic key
Word is stored as the label of the target question and answer entry to above-mentioned question and answer type knowledge base, i.e., is asked using the target topic keyword at this
It answers in type knowledge base and adds tag along sort for the target question and answer entry.
As an example it is assumed that the subject key words of some the question and answer entry determined include: keyword 1 and keyword 2, then may be used
To count the number that keyword 1 and keyword 2 occur in data and answer data the problem of the question and answer entry is included respectively.
It is answered in the problem data with this if the number that keyword 1 occurs in the problem data and the answer data is less than keyword 2
The number occurred in case data, then can target topic keyword by keyword 2 as the question and answer entry, and by keyword 2
Label as the question and answer entry is stored to the question and answer type knowledge base where the question and answer entry.
Alternatively, multiple subject key words of the target question and answer entry can also be exported by user interface to user.With
Family can select a subject key words (referred to as target topic keyword) by the user interface from these subject key words.
It is subsequent, it can store the target topic keyword as the label of the target question and answer entry to above-mentioned question and answer type knowledge base, i.e.,
Tag along sort is added for the target question and answer entry in the question and answer type knowledge base using the target topic keyword.
Referring to FIG. 3, Fig. 3 is a kind of schematic diagram of user interface shown in one exemplary embodiment of this specification.
It is used provided by the customer service system of online customer service as shown in figure 3, the user interface can be for providing a user
Family interface.Wherein, which can be docked with above-mentioned question and answer type knowledge base.
User can input the keyword for wishing the information obtained in the Text Entry provided by the user interface.With
Family can click " transmission " button in the user interface after completing keyword input.The customer service system is detecting user
For " transmission " button clicking operation when, available current keyword input by user, and further with this
The question and answer entry of keyword hit is searched in the question and answer type knowledge base of customer service system docking, i.e. its label includes the keyword
Question and answer entry.Subsequent, which can show user for the question and answer entry found, so that user checks.
For question and answer type knowledge base shown in following table 2:
Table 2
Assuming that user is in the user interface provided by the customer service system docked with the question and answer type knowledge base, the key of input
Word is keyword 1, then since the label of question and answer entry 1 and question and answer entry 2 includes keyword 1, which can be with
Question and answer entry 1 and question and answer entry 2 are showed into user, so that user checks.
In a kind of embodiment shown, after the subject key words that above-mentioned target question and answer entry has been determined, Ke Yijin
The subject key words are added to to one step the search key set of the search engine docked with the question and answer type knowledge base.
Referring to FIG. 4, Fig. 4 is the schematic diagram of another user interface shown in one exemplary embodiment of this specification.
It is used provided by the customer service system of online service as shown in figure 4, the user interface can be for providing a user
Family interface.Wherein, which can be docked by above-mentioned search engine with above-mentioned question and answer type knowledge base.
The customer service system can show the search key set of the search engine in the user interface, to use
Family can click some keyword shown in the user interface, to obtain information relevant to the keyword.
For example, user can click " keyword 1 " in the user interface.The customer service system is detecting that user exists
When detecting that user is directed to the clicking operation of " keyword 1 ", it can be searched in the question and answer type knowledge base by the search engine
The question and answer entry of keyword hit.Subsequent, which can return to the customer service system for the question and answer entry found,
The question and answer entry found is showed user by the customer service system, so that user checks.
In the above-mentioned technical solutions, it for question and answer type knowledge base, can ask respectively what question and answer entry therein was included
Inscribe data and answer data and carry out keyword extraction, can will further be extracted from the problem data with from the answer
The identical keyword extracted in data is determined as the subject key words of the question and answer entry.In this way, on the one hand can use each
The subject key words of a question and answer entry classify to the question and answer entry in question and answer type knowledge base, so as to be convenient for utilizing theme
Keyword carries out quick-searching to question and answer type knowledge base.On the other hand, since subject key words are extracted from problem data
The identical keyword with what is extracted from answer data, therefore can reflect more accurately question and answer entry it is main in
Hold, so as to improve the retrieval accuracy for being directed to question and answer type knowledge base.
Corresponding with the embodiment of the extracting method of aforementioned subject key words, this specification additionally provides subject key words
The embodiment of extraction element.
The embodiment of the extraction element of this specification subject key words can be using on an electronic device.Installation practice can
Can also be realized by way of hardware or software and hardware combining by software realization.Taking software implementation as an example, as one
Device on logical meaning is by the processor of electronic equipment where it by computer journey corresponding in nonvolatile memory
Sequence instruction is read into memory what operation was formed.For hardware view, as shown in figure 5, for this specification subject key words
A kind of hardware structure diagram of electronic equipment where extraction element, in addition to processor shown in fig. 5, memory, network interface, Yi Jifei
Except volatile memory, the practical function of electronic equipment in embodiment where device generally according to the extraction of the subject key words
Can, it can also include other hardware, this is repeated no more.
Referring to FIG. 6, Fig. 6 is a kind of extraction element of subject key words shown in one exemplary embodiment of this specification
Block diagram.The device 60 can be applied to electronic equipment shown in fig. 5, comprising:
Read module 601, for reading target question and answer entry from question and answer type knowledge base；Wherein, the target question and answer item
Mesh includes problem data and answer data；
Extraction module 602, for extracting keyword from described problem data and the answer data respectively；
First determining module 603, for determine the keyword that is extracted from described problem data with from the answer number
It whether there is identical target keyword in the keyword extracted in；
Second determining module 604, for when there are identical target keyword, the target keyword to be determined as institute
State the subject key words of target question and answer entry.
In the present embodiment, described device 60 can also include:
First adding module 605 is the target question and answer item for the subject key words based on the target question and answer entry
Mesh adds tag along sort.
In the present embodiment, first adding module 605 specifically can be used for:
If there are multiple subject key words for the target question and answer entry, it is determined that in described problem data and the answer
The most target topic keyword of frequency of occurrence in data, and using the target topic keyword as the target question and answer entry
Tag along sort store to the question and answer type knowledge base；
If the subject key words of the target question and answer entry existence anduniquess, using the target topic keyword as institute
The tag along sort for stating target question and answer entry is stored to the question and answer type knowledge base.
In the present embodiment, described device 60 can also include:
Second adding module 606 is searched for being added to the subject key words with what the question and answer type knowledge base was docked
Index the search key set held up.
In the present embodiment, keyword used by keyword is extracted from described problem data and the answer data to mention
Taking algorithm is TextRank algorithm or TF-IDF algorithm.
The function of modules and the realization process of effect are specifically detailed in the above method and correspond to step in above-mentioned apparatus
Realization process, details are not described herein.
For device embodiment, since it corresponds essentially to embodiment of the method, so related place is referring to method reality
Apply the part explanation of example.The apparatus embodiments described above are merely exemplary, wherein described be used as separation unit
The module of explanation may or may not be physically separated, and the component shown as module can be or can also be with
It is not physical module, it can it is in one place, or may be distributed on multiple network modules.It can be according to actual
The purpose for needing to select some or all of the modules therein to realize this specification scheme.Those of ordinary skill in the art are not
In the case where making the creative labor, it can understand and implement.
System, device or the module that above-described embodiment illustrates can specifically be realized, Huo Zheyou by computer chip or entity
Product with certain function is realized.A kind of typically to realize that equipment is computer, the concrete form of computer can be a
People's computer, laptop computer, cellular phone, camera phone, smart phone, personal digital assistant, media player, navigation
It is any several in equipment, E-mail receiver/send equipment, game console, tablet computer, wearable device or these equipment
The combination of kind equipment.
Corresponding with the extracting method embodiment of above-mentioned subject key words, this specification additionally provides a kind of electronic equipment
Embodiment.The electronic equipment includes: processor and the memory for storing machine-executable instruction；Wherein, processor and
Memory is usually connected with each other by internal bus.In other possible implementations, the equipment is also possible that outside
Interface, can be communicated with other equipment or component.
In the present embodiment, by reading and executing the corresponding with the control logic of keyword extraction of the memory storage
Machine-executable instruction, the processor is prompted to:
Target question and answer entry is read from question and answer type knowledge base；Wherein, the target question and answer entry include problem data and
Answer data；
Keyword is extracted from described problem data and the answer data respectively；
It determines from the keyword extracted in described problem data and from the keyword extracted in the answer data
With the presence or absence of identical target keyword；
If there is identical target keyword, then the target keyword is determined as to the master of the target question and answer entry
Inscribe keyword.
In the present embodiment, by reading and executing the corresponding with the control logic of keyword extraction of the memory storage
Machine-executable instruction, the processor is also prompted to:
Based on the subject key words of the target question and answer entry, tag along sort is added for the target question and answer entry.
In the present embodiment, by reading and executing the corresponding with the control logic of keyword extraction of the memory storage
Machine-executable instruction, the processor is prompted to:
If there are multiple subject key words for the target question and answer entry, it is determined that in described problem data and the answer
The most target topic keyword of frequency of occurrence in data, and using the target topic keyword as the target question and answer entry
Tag along sort store to the question and answer type knowledge base；
If the subject key words of the target question and answer entry existence anduniquess, using the target topic keyword as institute
The tag along sort for stating target question and answer entry is stored to the question and answer type knowledge base.
In the present embodiment, by reading and executing the corresponding with the control logic of keyword extraction of the memory storage
Machine-executable instruction, the processor is also prompted to:
The subject key words are added to the search key collection of the search engine docked with the question and answer type knowledge base
It closes.
In the present embodiment, keyword used by keyword is extracted from described problem data and the answer data to mention
Taking algorithm is TextRank algorithm or TF-IDF algorithm.
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to this specification
Other embodiments.This specification is intended to cover any variations, uses, or adaptations of this specification, these modifications,
Purposes or adaptive change follow the general principle of this specification and undocumented in the art including this specification
Common knowledge or conventional techniques.The description and examples are only to be considered as illustrative, the true scope of this specification and
Spirit is indicated by the following claims.
It should be understood that this specification is not limited to the precise structure that has been described above and shown in the drawings,
And various modifications and changes may be made without departing from the scope thereof.The range of this specification is only limited by the attached claims
System.
The foregoing is merely the preferred embodiments of this specification one or more embodiment, not to limit this theory
Bright book one or more embodiment, all within the spirit and principle of this specification one or more embodiment, that is done is any
Modification, equivalent replacement, improvement etc. should be included within the scope of the protection of this specification one or more embodiment.
Claims (11)
1. a kind of extracting method of subject key words, which comprises
Target question and answer entry is read from question and answer type knowledge base；Wherein, the target question and answer entry includes problem data and answer
Data；
Keyword is extracted from described problem data and the answer data respectively；
Determine from the keyword that is extracted in described problem data with from the keyword extracted in the answer data whether
There are identical target keywords；
If there is identical target keyword, then the theme that the target keyword is determined as the target question and answer entry is closed
Keyword.
2. according to the method described in claim 1, the method also includes:
Based on the subject key words of the target question and answer entry, tag along sort is added for the target question and answer entry.
3. according to the method described in claim 2, the subject key words based on the target question and answer entry, are the target
Question and answer entry adds tag along sort, comprising:
If there are multiple subject key words for the target question and answer entry, it is determined that in described problem data and the answer data
The most target topic keyword of middle frequency of occurrence, and using the target topic keyword as point of the target question and answer entry
Class label is stored to the question and answer type knowledge base；
If the subject key words of the target question and answer entry existence anduniquess, using the target topic keyword as the mesh
The tag along sort of mark question and answer entry is stored to the question and answer type knowledge base.
4. according to the method described in claim 1, the method also includes:
The subject key words are added to the search key set of the search engine docked with the question and answer type knowledge base.
5. being used according to the method described in claim 1, extracting keyword from described problem data and the answer data
Keyword extraction algorithm be TextRank algorithm or TF-IDF algorithm.
6. a kind of extraction element of subject key words, described device include:
Read module, for reading target question and answer entry from question and answer type knowledge base；Wherein, the target question and answer entry includes asking
Inscribe data and answer data；
Extraction module, for extracting keyword from described problem data and the answer data respectively；
First determining module is extracted for determining from the keyword extracted in described problem data with from the answer data
It whether there is identical target keyword in keyword out；
Second determining module, for when there are identical target keyword, the target keyword to be determined as the target
The subject key words of question and answer entry.
7. device according to claim 6, described device further include:
First adding module is added for the subject key words based on the target question and answer entry for the target question and answer entry
Tag along sort.
8. device according to claim 7, first adding module is specifically used for:
If there are multiple subject key words for the target question and answer entry, it is determined that in described problem data and the answer data
The most target topic keyword of middle frequency of occurrence, and using the target topic keyword as point of the target question and answer entry
Class label is stored to the question and answer type knowledge base；
If the subject key words of the target question and answer entry existence anduniquess, using the target topic keyword as the mesh
The tag along sort of mark question and answer entry is stored to the question and answer type knowledge base.
9. device according to claim 6, described device further include:
Second adding module, for the subject key words to be added to the search engine docked with the question and answer type knowledge base
Search key set.
10. device according to claim 6 extracts keyword from described problem data and the answer data and is used
Keyword extraction algorithm be TextRank algorithm or TF-IDF algorithm.
11. a kind of electronic equipment, the electronic equipment include:
Processor；
For storing the memory of machine-executable instruction；
Wherein, executable by reading and executing the machine corresponding with the control logic of keyword extraction of the memory storage
Instruction, the processor are prompted to:
Target question and answer entry is read from question and answer type knowledge base；Wherein, the target question and answer entry includes problem data and answer
Data；
Keyword is extracted from described problem data and the answer data respectively；
Determine from the keyword that is extracted in described problem data with from the keyword extracted in the answer data whether
There are identical target keywords；
If there is identical target keyword, then the theme that the target keyword is determined as the target question and answer entry is closed
Keyword.
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