CN113868393A - Data processing method and device for clarifying questions - Google Patents
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Abstract
The invention discloses a data processing method and a data processing device for clarifying answers, wherein the data processing method comprises the following steps: obtaining and analyzing clarification answer data sent by a service terminal to obtain clarification questions contained in the clarification answer data; for each clarification problem, identifying the category to which the clarification problem belongs, and sending the clarification problem to an answering terminal matched with the category to which the clarification problem belongs; further receiving the response opinions fed back by the corresponding answering terminals; summarizing the response opinions corresponding to each clarification question included in the clarification answer data to obtain a summarized response opinion; and the summary reply opinions are fed back to the service terminal. Therefore, the invention can accurately and efficiently realize the distribution of the clarification answering data and the timely acquisition of the answering information in the bidding service.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a data processing method and device for clarifying answers.
Background
In bidding activities, when some content expression is ambiguous or a bidder has disagreement with a bidding document, the problem is solved in a clarifying manner, and the unclear meaning is expressed clearly. Before bidding, the business party usually needs to ask clarification questions and obtain answers for the bidding document.
At present, in the traditional bid-calling clarification answering, service personnel are required to collect clarification questions sent by a plurality of service parties, distribute each clarification question to a corresponding answering party through the service personnel, and the answering party proposes a response opinion. The traditional process of collecting and distributing the clarification answer data often depends on the experience of service personnel, the distribution accuracy cannot be guaranteed, meanwhile, the period of the answer party generating the answer opinions is long, and the timeliness of the clarification answer opinions cannot be guaranteed. Therefore, how to efficiently and accurately distribute and clarify answering data and timely acquire answering information is a problem to be solved in bidding business.
Disclosure of Invention
The invention aims to solve the technical problem of how to efficiently and accurately distribute and clarify answering data and timely acquire answering information.
In order to solve the above technical problem, a first aspect of the present invention discloses a data processing method for clarifying an answer, where the method includes:
receiving clarification answering data sent by a service terminal;
analyzing the clarification answer data to obtain clarification questions included in the clarification answer data, wherein the clarification questions are one or more;
for each clarification question included in the clarification answer data, identifying the clarification question to obtain the category of the clarification question; sending the clarification question to a question answering terminal matched with the category to which the clarification question belongs; receiving a response opinion corresponding to the clarification question fed back by a response terminal matched with the category to which the clarification question belongs;
obtaining and summarizing the response opinions corresponding to each clarification question included in the clarification answer data to obtain the summarized response opinions corresponding to the clarification answer data;
and feeding back the summary answer opinions corresponding to the clarification answer data to a service terminal.
As an optional implementation manner, in the first aspect of the present invention, the analyzing the clarifying response data to obtain the clarifying question included in the clarifying response data includes:
analyzing the clarification answer data, and determining the data format of the clarification answer data, wherein the data format of the clarification answer data is one of a text format, a voice format and an image format;
and identifying the clarifying answer data according to the data format of the clarifying answer data to obtain one or more clarifying question texts included in the clarifying answer data.
As an optional implementation manner, in the first aspect of the present invention, the identifying, according to the data format of the clarifying response data, the clarifying response data to obtain the clarifying question text included in the clarifying response data includes:
if the data format of the clarifying answer data is a text format, inputting the clarifying answer data into a preset text recognition model to obtain a clarifying question text included in the clarifying answer data;
if the data format of the clarifying answer data is a voice format, inputting the clarifying answer data into a preset voice recognition model to obtain a clarifying question text included in the clarifying answer data;
and if the data format of the clarification answer data is an image format, inputting the clarification answer data into a preset image recognition model to obtain a clarification question text included in the clarification answer data.
As an alternative implementation manner, in the first aspect of the present invention, the identifying, for each clarification question included in the clarification answer data, a category to which the clarification question belongs includes:
for each clarification question text included in the clarification answer data, acquiring the clarification question text, and performing semantic analysis on the clarification question text;
extracting text characteristic data corresponding to the clarification problem text from the clarification problem text through semantic analysis;
and inputting the text characteristic data corresponding to the clarification problem text into a preset clarification problem classification model, and obtaining the category of the clarification problem text through the preset clarification problem classification model.
As an optional implementation manner, in the first aspect of the present invention, before feeding back the summarized answers corresponding to the clarified answer data to the service party, the method further includes:
checking the summary reply opinions corresponding to the clarified answer data to obtain a checking result;
judging whether the auditing result meets a preset condition or not;
if the preset conditions are met, feeding the summary answer opinions corresponding to the clarification answer data back to a service terminal;
and if the preset condition is not met, adjusting the summary answer opinions corresponding to the clarification answer data according to the preset condition.
As an optional implementation manner, in the first aspect of the present invention, the clarifying answer data includes service scenario information corresponding to the clarifying answer data;
and the step of auditing the summary answer opinions corresponding to the clarification answer data to obtain an auditing result comprises the following steps:
for each reply opinion included in the summary reply opinions corresponding to the clarification answer data, whether the reply opinion is matched with the service scene of the clarification answer data is checked;
if the reply opinion is matched with the service scene of the clarification answer data, marking the auditing result of the reply opinion as passing;
and if the reply opinion does not match with the service scene of the clarification answer data, marking the auditing result of the reply opinion to be adjusted.
As an optional implementation manner, in the first aspect of the present invention, for each clarification question included in the clarification answer data, the answer opinion corresponding to the clarification question fed back by the answer terminal matching the category to which the clarification question belongs is determined by:
searching whether a response opinion matched with the clarification question exists in a preset clarification response database according to the received clarification question by a response terminal matched with the category of the clarification question;
if the answer opinions matched with the received clarification questions are found in the preset clarification answer database, the found answer opinions are used as the answer opinions corresponding to the received clarification questions;
and if the response opinions matched with the received clarification questions are not found in the preset clarification answer database, sending the received clarification questions to an answering person, and making response opinions corresponding to the received clarification questions by the answering person.
A second aspect of the invention discloses a data processing apparatus for clarifying an answer, the apparatus comprising:
the receiving module is used for receiving the clarification answering data sent by the service terminal;
the analysis module is used for analyzing the clarification answer data to obtain clarification questions included in the clarification answer data, wherein the clarification questions are one or more;
the answering module is used for identifying each clarification question included in the clarification answering data to obtain the category of the clarification question; sending the clarification question to a question answering terminal matched with the category to which the clarification question belongs; receiving a response opinion corresponding to the clarification question fed back by a response terminal matched with the category to which the clarification question belongs;
the summarizing module is used for acquiring and summarizing the response opinions corresponding to each clarification question included in the clarification answer data to obtain the summarizing response opinions corresponding to the clarification answer data;
and the feedback module is used for feeding the summary answer opinions corresponding to the clarification answer data back to the service terminal.
As an optional implementation manner, in the second aspect of the present invention, the parsing module includes:
the determining submodule is used for analyzing the clarification answer data and determining the data format of the clarification answer data, wherein the data format of the clarification answer data is one of a text format, a voice format and an image format;
and the identification submodule is used for identifying the clarification answer data according to the data format of the clarification answer data to obtain one or more clarification question texts included in the clarification answer data.
As an optional implementation manner, in the second aspect of the present invention, the identifying module is configured to identify the clarifying response data according to a data format of the clarifying response data, and a manner of obtaining the clarifying question text included in the clarifying response data specifically includes:
if the data format of the clarifying answer data is a text format, inputting the clarifying answer data into a preset text recognition model to obtain a clarifying question text included in the clarifying answer data;
if the data format of the clarifying answer data is a voice format, inputting the clarifying answer data into a preset voice recognition model to obtain a clarifying question text included in the clarifying answer data;
and if the data format of the clarification answer data is an image format, inputting the clarification answer data into a preset image recognition model to obtain a clarification question text included in the clarification answer data.
As an optional implementation manner, in the second aspect of the present invention, the answering module is configured to, for each clarification question included in the clarification answer data, identify the clarification question, and specifically obtain a category to which the clarification question belongs, where the category to which the clarification question belongs includes:
for each clarification question text included in the clarification answer data, acquiring the clarification question text, and performing semantic analysis on the clarification question text;
extracting text characteristic data corresponding to the clarification problem text from the clarification problem text through semantic analysis;
and inputting the text characteristic data corresponding to the clarification problem text into a preset clarification problem classification model, and obtaining the category of the clarification problem text through the preset clarification problem classification model.
As an alternative embodiment, in the second aspect of the present invention, the apparatus further comprises: an audit module to:
checking the summary reply opinions corresponding to the clarified answer data to obtain a checking result;
judging whether the auditing result meets a preset condition or not;
if the preset conditions are met, feeding the summary answer opinions corresponding to the clarification answer data back to a service terminal;
and if the preset condition is not met, adjusting the summary answer opinions corresponding to the clarification answer data according to the preset condition.
As an optional implementation manner, in the second aspect of the present invention, the clarifying answer data includes service scenario information corresponding to the clarifying answer data;
the auditing module is used for auditing the summary answer opinions corresponding to the clarification answer data, and the specific mode for obtaining the auditing result comprises the following steps:
for each reply opinion included in the summary reply opinions corresponding to the clarification answer data, whether the reply opinion is matched with the service scene of the clarification answer data is checked;
if the reply opinion is matched with the service scene of the clarification answer data, marking the auditing result of the reply opinion as passing;
and if the reply opinion does not match with the service scene of the clarification answer data, marking the auditing result of the reply opinion to be adjusted.
As an optional implementation manner, in the second aspect of the present invention, for each clarification question included in the clarification answer data, the answer opinion corresponding to the clarification question fed back by the answer terminal matching the category to which the clarification question belongs is determined by:
searching whether a response opinion matched with the clarification question exists in a preset clarification response database according to the received clarification question by a response terminal matched with the category of the clarification question;
if the answer opinions matched with the received clarification questions are found in the preset clarification answer database, the found answer opinions are used as the answer opinions corresponding to the received clarification questions;
and if the response opinions matched with the received clarification questions are not found in the preset clarification answer database, sending the received clarification questions to an answering person, and making response opinions corresponding to the received clarification questions by the answering person.
A third aspect of the present invention discloses an electronic apparatus, comprising:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the data processing method for clarifying answers disclosed by the first aspect of the invention.
A fourth aspect of the present invention discloses a computer-readable storage medium, in which computer program instructions are stored, which, when called, are used to execute the data processing method for clarifying answers disclosed in the first aspect of the present invention.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, the clarification question included in the clarification answer data is obtained by obtaining and analyzing the clarification answer data sent by the service terminal; for each clarification problem, identifying the category to which the clarification problem belongs, and sending the clarification problem to an answering terminal matched with the category to which the clarification problem belongs; and then receiving the response opinions fed back by the corresponding answering terminals. Summarizing the response opinions corresponding to each clarification question included in the clarification answer data to obtain a summarized response opinion; and the summary reply opinions are fed back to the service terminal. Therefore, the invention can accurately and efficiently realize the distribution of the clarification answering data and the timely acquisition of the answering information in the bidding service.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments 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 to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a data processing method for clarifying an answer according to an embodiment of the present invention;
fig. 2 is a schematic flow chart illustrating another data processing method for clarifying an answer according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a data processing apparatus for clarifying an answer according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of an analysis module according to an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of another data processing apparatus for clarifying an answer according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
The terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, article, or article that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or article.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The invention discloses a data processing method and a data processing device for clarifying answers, which can accurately and efficiently distribute clarifying answer data and timely acquire answer information in bidding services. The following are detailed below.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart of a data processing method for clarifying answers according to an embodiment of the present invention. The data processing method for clarifying the question in fig. 1 may be applied to a mobile terminal or a server, and the embodiment of the present invention is not limited thereto. As shown in fig. 1, the data processing method for clarifying an answer may include the following operations:
s101, receiving clarification answering data sent by a service terminal.
In the embodiment of the invention, the bidding process often needs to clarify and answer the bidding documents. Clarification is the initiative of the tenderer to explain or supplement the obscured or unclear portions of the content of the tender document. The question answering is that after obtaining the bidding documents, the bidders ask questions about the contents of the bidding documents provided by the bidders, such as the problems of unclear description of engineering projects, fuzzy specified terms of the bidding documents, unclear qualification conditions and the like.
After obtaining the bidding document, the bidder can send clarification answering data through a mobile phone, a computer or other service terminals. The clarification answer data comprises identification information of bidders, identification information of bidding documents aimed at the clarification answers, clarification questions to be answered by the bidders and the like.
And S102, analyzing the clarifying answer data to obtain clarifying questions included in the clarifying answer data, wherein the clarifying questions are one or more.
In the embodiment of the invention, the clarification answer data sent by the bidder carries various information, and the clarification question sent by the bidder and needing to be answered by the bidder can be obtained by analyzing the clarification answer data sent by the bidder.
In an alternative embodiment, in order to save the interactive process, the bidder may set up a plurality of clarification questions to be answered by the bidder in one clarification answer file, and the sending of all clarification questions is realized by one interaction. After the mobile terminal or the server obtains the clarification answer data sent by the bidder, all clarification questions included in the clarification answer data can be obtained by analyzing the clarification answer data sent by the bidder, and a mark is given to each clarification question in the clarification answer data, such as clarification question 1, clarification question 2 and the like.
In the embodiment of the present invention, optionally, step S102 of analyzing the clarifying question data to obtain the clarifying question included in the clarifying question data includes:
and A1, analyzing the clarification answer data and determining the data format of the clarification answer data.
The data format of the clarifying answering data is one of a text format, a voice format and an image format. The clarifying answer data sent by the service terminal may be data in a format, such as text, image or voice. Meanwhile, the clarification answer data sent by the service terminal can also be mixed data with various formats, such as image-text mixed data. The data format of the clarifying answer data can be determined by analyzing the clarifying answer data.
And A2, identifying the clarifying answer data according to the data format of the clarifying answer data to obtain one or more clarifying question texts included in the clarifying answer data.
In the embodiment of the present invention, optionally, if the determined clarifying question data is in a single data format, that is, a text, an image, or a voice, the following operations are performed:
and sending the clarified answer data to an identification model corresponding to the data format of the clarified answer data for identification according to the determined data format of the clarified answer data so as to obtain all clarified question text information included in the clarified answer data.
And when the data format of the clarifying answer data is a text format, inputting the clarifying answer data into a preset text recognition model, and recognizing the question to obtain all clarifying question texts included in the clarifying answer data. The text recognition model may be a text recognition model commonly used in the art, and is not limited in the present invention.
And when the data format of the clarified answer data is a voice format, inputting the clarified answer data into a preset voice recognition model, converting voice information into character information, and further recognizing clarified questions in the converted character information by a question recognition technology to obtain all clarified question texts included in the voice format clarified answer data.
When the data format of the clarifying answer data is the image format, inputting the clarifying answer data into a preset image recognition model, recognizing character information in the image data, and further recognizing clarifying problems in the character information by a question recognition technology to obtain all clarifying problem texts included in the image format clarifying answer data.
In the embodiment of the present invention, optionally, if the determined clarified response data is in a mixed data format, that is, the clarified response data includes data in two or more formats of a text, an image, and a voice, after the step a1 of analyzing the clarified response data and determining the data format of the clarified response data, the step a2 of identifying the clarified response data according to the data format of the clarified response data, before obtaining the clarified question text included in the clarified response data, further includes the following operations:
and determining clarified answer sub-data corresponding to the data format based on the clarified answer data according to each data format in a plurality of data formats included in the clarified answer data, and dividing the clarified answer data into a plurality of groups of clarified answer sub-data.
Further, step a2, identifying the clarifying answer data according to the data format of the clarifying answer data, to obtain a clarifying question text included in the clarifying answer data, specifically including:
and identifying the group of clarifying answer sub-data according to the data format of each group of clarifying answer sub-data to obtain one or more clarifying question texts included in the group of clarifying answer sub-data.
In the embodiment of the present invention, further optionally, according to the determined data format of each set of clarified response data, the set of clarified response data is sent to the identification model corresponding to the data format of the set of clarified response data for identification, so as to obtain all the clarified question text information included in the set of clarified response data.
And when the data format of the clarified answer sub-data is a text format, inputting the clarified answer sub-data into a preset text recognition model, and performing question recognition to obtain all clarified question texts included in the clarified answer sub-data. The text recognition model may be a text recognition model commonly used in the art, and is not limited in the present invention.
When the data format of the clarified answer sub-data is a voice format, inputting the clarified answer sub-data into a preset voice recognition model, converting voice information into character information, and further recognizing clarified questions in the converted character information by a question recognition technology to obtain all clarified question texts included in the voice format clarified answer sub-data.
When the data format of the clarified answer sub-data is an image format, inputting the clarified answer sub-data into a preset image recognition model, recognizing character information in the image data, and further recognizing clarified questions in the character information by a question recognition technology to obtain all clarified question texts included in the image format clarified answer sub-data.
Therefore, the optional embodiment can support the bidder to send various types of clarification answer data, automatically perform data type identification and text conversion processing, and finally quickly obtain clarification question text data corresponding to the clarification answer data sent by the bidder.
S103, identifying each clarification problem contained in the clarification answer data to obtain the category of the clarification problem; and sending the clarification question to an answering terminal matched with the category to which the clarification question belongs. And receiving the response opinions corresponding to the clarification questions fed back by the response terminals matched with the categories to which the clarification questions belong.
In the embodiment of the present invention, optionally, for each clarification question included in the clarification answer data, when obtaining the answer opinion corresponding to the clarification question, the following operations may be performed:
and B1, acquiring the clarification question text, and performing semantic analysis on the clarification question text. And extracting text characteristic data corresponding to the clarification problem text from the clarification problem text through semantic analysis.
In this optional embodiment, a preset semantic recognition algorithm is configured, so that semantic analysis can be performed on the clarified problem text, and text feature data included in the clarified problem text is extracted, where the text feature data may be a problem keyword.
The specific way of performing semantic analysis through a semantic recognition algorithm and extracting text feature data contained in the clarified problem text can be as follows:
and performing word segmentation operation on the clarification problem text.
And filtering the obtained participles to remove invalid words which are irrelevant to the problem text classification in the clarified problem text, such as connecting words of ' and ', ' and the like, and partial auxiliary words of ' ground ', ' ground ' and ' get ' and the like to obtain valid words relevant to the problem text classification.
And acquiring a preset key dictionary, and judging whether the effective words related to the problem text classification are in the preset key dictionary.
And if the effective words related to the problem text classification are in a preset key dictionary, taking the effective words related to the problem text classification as text characteristic data/problem keywords.
And if the valid words related to the problem text classification are not in the preset key dictionary, taking the valid words related to the problem text classification as invalid words.
And B2, inputting the text characteristic data corresponding to the clarification problem text into a preset clarification problem classification model, and obtaining the category of the clarification problem text through the preset clarification problem classification model.
Specifically, a word vector of the question keyword corresponding to the clarification question text determined in step B1 is constructed, and the clarification question text is described by the word vector. And inputting the word vector corresponding to the clarification problem text into a pre-trained clarification problem classification model to obtain the clarification problem category corresponding to the clarification problem text. The clarification problem category can be a business category, a technical category and the like, or other classification categories obtained by training according to training samples.
And B3, sending the clarification question to a question answering terminal matched with the category to which the clarification question belongs. And receiving the response opinions corresponding to the clarification questions fed back by the response terminals matched with the categories to which the clarification questions belong.
In the embodiment of the present invention, optionally, for each clarification question included in the clarification answer data, the answer opinion corresponding to the clarification question fed back by the answer terminal matched with the category to which the clarification question belongs is determined in the following manner:
and searching whether a response opinion matched with the clarification question exists in a preset clarification response database according to the received clarification question by the response terminal matched with the category of the clarification question. And if the response opinions matched with the received clarification questions are found in the preset clarification answer database, taking the found response opinions as the response opinions corresponding to the received clarification questions. And if the response opinions matched with the received clarification questions are not found in the preset clarification answer database, sending the received clarification questions to an answering person, and making response opinions corresponding to the received clarification questions by the answering person.
Specifically, each answering terminal is provided with a clarification answering database. The clarification answer database stores a plurality of historical clarification questions matched with the types of the answering terminals and corresponding answer opinions. And after the answering terminal receives the clarification question, searching whether a target historical clarification question consistent with the received clarification question exists in a preset clarification answering database.
If the preset clarification answer database has the target historical clarification question consistent with the received clarification question, the response opinion corresponding to the target historical clarification question is used as the response opinion corresponding to the received clarification question, namely the response opinion matched with the received clarification question is found in the preset clarification answer database. And further taking the searched reply opinions as reply opinions corresponding to the received clarification questions, and feeding the reply opinions back to the mobile terminal or the server for clarifying the answer data disclosed by the invention by the answer terminal.
If the preset clarification answer database does not have the target historical clarification question consistent with the received clarification question, the answer opinions matched with the received clarification question are not found in the preset clarification answer database. The received clarification question is sent to the answerer who manually makes a reply opinion corresponding to the received clarification question. After the answering terminal acquires the answer opinions made by the answering personnel. And feeding back the reply opinions to the mobile terminal or the server for clarifying the answering data processing disclosed by the invention.
And S104, obtaining and summarizing the response opinions corresponding to each clarification question included in the clarification answer data to obtain the summarized response opinions corresponding to the clarification answer data.
In the embodiment of the invention, the mobile terminal or the server for clarifying the answering data processing receives the answering opinions fed back by a plurality of answering terminals. The obtained response opinions fed back by the multiple response terminals are collected, and the collected response opinions corresponding to each clarification question included in the clarification response data can be obtained.
And S105, feeding the summary answer opinions corresponding to the clarifying answer data back to the service terminal.
In the embodiment of the invention, the summarized response opinions are fed back to the bidder service terminal sending the clarification answer data so as to finish the processing operation of the clarification answer data.
It can be seen that by implementing the data processing method for clarifying answers described in fig. 1, a clarifying question included in clarifying answer data is obtained by obtaining and analyzing the clarifying answer data sent by a service terminal; for each clarification problem, identifying the category to which the clarification problem belongs, and sending the clarification problem to an answering terminal matched with the category to which the clarification problem belongs; and then receiving the response opinions fed back by the corresponding answering terminals. Summarizing the response opinions corresponding to each clarification question included in the clarification answer data to obtain a summarized response opinion; and the summary reply opinions are fed back to the service terminal. The method can accurately and efficiently realize the distribution of the clarification answering data and the timely acquisition of the answering information in the bidding service.
Example two
Referring to fig. 2, fig. 2 is a schematic flow chart illustrating another data processing method for clarifying answers according to the embodiment of the present invention. The data processing method for clarifying the question in fig. 2 may be applied to a mobile terminal or a server, and the embodiment of the present invention is not limited thereto. As shown in fig. 2, the data processing method for clarifying an answer may include the following operations:
s201, receiving clarification answering data sent by a service terminal.
S202, analyzing the clarifying question data to obtain clarifying questions included in the clarifying question data, wherein the clarifying questions are one or more.
S203, identifying each clarification problem contained in the clarification answer data to obtain the category of the clarification problem; and sending the clarification question to an answering terminal matched with the category to which the clarification question belongs. And receiving the response opinions corresponding to the clarification questions fed back by the response terminals matched with the categories to which the clarification questions belong.
And S204, obtaining and summarizing the response opinions corresponding to each clarification question included in the clarification answer data to obtain the summarized response opinions corresponding to the clarification answer data.
And S205, feeding back the summary answer opinions corresponding to the clarification answer data to the service terminal.
In the embodiment of the present invention, please refer to other specific descriptions for steps S101 to S105 in the first embodiment for other descriptions of steps S201 to S205, which is not described again in the embodiment of the present invention.
In this embodiment of the present invention, before step S205, the method further includes:
s206, checking the summary answer opinions corresponding to the clarified answer data to obtain a checking result;
s207, judging whether the auditing result meets a preset condition or not; if yes, go to step S205; if not, go to step S208,
and S208, adjusting the summarized reply opinions corresponding to the clarified answer data according to preset conditions, and feeding the summarized reply opinions corresponding to the adjusted clarified answer data back to the service terminal.
In the embodiment of the present invention, optionally, the clarifying answer data includes service scenario information corresponding to the clarifying answer data.
Step S206, checking the summary answer opinions corresponding to the clarified answer data to obtain a checking result, which comprises the following steps:
for each reply opinion included in the summary reply opinions corresponding to the clarification answer data, whether the reply opinion is matched with the service scene of the clarification answer data is checked;
if the reply opinion is matched with the service scene of the clarification answer data, marking the auditing result of the reply opinion as passing;
and if the reply opinion does not match with the service scene of the clarification answer data, marking the auditing result of the reply opinion to be adjusted.
It can be seen that, by implementing the data processing method for clarifying answers described in fig. 2, the answer opinions corresponding to each clarification question included in the clarifying answer data are summarized, after the summarized answer opinions are obtained, the summarized answer opinions corresponding to the clarifying answer data are reviewed, and whether the summarized answer opinions required to be fed back to the service terminal need to be adjusted is judged according to the result obtained by the review; and the summary reply opinions are fed back to the service terminal. Complete and accurate response information can be obtained in the bidding service.
EXAMPLE III
Referring to fig. 3, fig. 3 is a schematic flow chart of a data processing apparatus for clarifying answers according to an embodiment of the present invention. The data processing apparatus for clarifying the answer depicted in fig. 3 may be integrated in the mobile terminal, or may be integrated in the server, which is not limited in the embodiment of the present invention. As shown in fig. 3, the data processing apparatus for clarifying a question includes: the system comprises a receiving module 301, an analyzing module 302, a questioning module 303, a summarizing module 304 and a feedback module 305.
The receiving module 301 is configured to receive the clarifying answer data sent by the service terminal.
In the embodiment of the invention, the bidding process often needs to clarify and answer the bidding documents. Clarification is the initiative of the tenderer to explain or supplement the obscured or unclear portions of the content of the tender document. The question answering is that after obtaining the bidding documents, the bidders ask questions about the contents of the bidding documents provided by the bidders, such as the problems of unclear description of engineering projects, fuzzy specified terms of the bidding documents, unclear qualification conditions and the like.
After obtaining the bidding document, the bidder can send clarification answering data through a mobile phone, a computer or other service terminals. The clarification answer data comprises identification information of bidders, identification information of bidding documents aimed at the clarification answers, clarification questions to be answered by the bidders and the like.
The analyzing module 302 is configured to analyze the clarifying question data to obtain one or more clarifying questions included in the clarifying question data.
In the embodiment of the invention, the clarification answer data sent by the bidder carries various information, and the clarification question sent by the bidder and needing to be answered by the bidder can be obtained by analyzing the clarification answer data sent by the bidder.
In an alternative embodiment, in order to save the interactive process, the bidder may set up a plurality of clarification questions to be answered by the bidder in one clarification answer file, and the sending of all clarification questions is realized by one interaction. After the mobile terminal or the server obtains the clarification answer data sent by the bidder, all clarification questions included in the clarification answer data can be obtained by analyzing the clarification answer data sent by the bidder, and a mark is given to each clarification question in the clarification answer data, such as clarification question 1, clarification question 2 and the like.
In the embodiment of the present invention, optionally, referring to fig. 4, fig. 4 is a schematic structural diagram of an analysis module disclosed in the embodiment of the present invention. The parsing module 302 includes: a determination submodule 3021 and an identification submodule 3022.
The determining submodule 3021 is configured to parse the clarifying response data and determine a data format of the clarifying response data.
The data format of the clarifying answering data is one of a text format, a voice format and an image format. The clarifying answer data sent by the service terminal may be data in a format, such as text, image or voice. Meanwhile, the clarification answer data sent by the service terminal can also be mixed data with various formats, such as image-text mixed data. The data format of the clarifying answer data can be determined by analyzing the clarifying answer data.
The identifying sub-module 3022 is configured to identify the clarifying response data according to a data format of the clarifying response data, to obtain one or more clarifying question texts included in the clarifying response data.
In the embodiment of the present invention, optionally, if the determined clarifying question data is in a single data format, that is, a text, an image, or a voice, the recognition sub-module 3022 is configured to perform the following operations:
and sending the clarified answer data to an identification model corresponding to the data format of the clarified answer data for identification according to the determined data format of the clarified answer data so as to obtain all clarified question text information included in the clarified answer data.
And when the data format of the clarifying answer data is a text format, inputting the clarifying answer data into a preset text recognition model, and recognizing the question to obtain all clarifying question texts included in the clarifying answer data. The text recognition model may be a text recognition model commonly used in the art, and is not limited in the present invention.
And when the data format of the clarified answer data is a voice format, inputting the clarified answer data into a preset voice recognition model, converting voice information into character information, and further recognizing clarified questions in the converted character information by a question recognition technology to obtain all clarified question texts included in the voice format clarified answer data.
When the data format of the clarifying answer data is the image format, inputting the clarifying answer data into a preset image recognition model, recognizing character information in the image data, and further recognizing clarifying problems in the character information by a question recognition technology to obtain all clarifying problem texts included in the image format clarifying answer data.
In the embodiment of the present invention, optionally, if the determined clarified answer data is in a mixed data format, that is, the clarified answer data includes data in two or more formats of a text, an image, and a voice, the determining sub-module 3021 analyzes the clarified answer data, after the data format of the clarified answer data is determined, the identifying sub-module 3022 identifies the clarified answer data according to the data format of the clarified answer data, and before the clarified question text included in the clarified answer data is obtained, the apparatus further includes a grouping sub-module, and the grouping sub-module is configured to perform the following operations:
and determining clarified answer sub-data corresponding to the data format based on the clarified answer data according to each data format in a plurality of data formats included in the clarified answer data, and dividing the clarified answer data into a plurality of groups of clarified answer sub-data.
Further, the identifying submodule 3022 identifies the clarifying response data according to the data format of the clarifying response data, and the specific manner of obtaining the clarifying question text included in the clarifying response data includes:
and identifying the group of clarifying answer sub-data according to the data format of each group of clarifying answer sub-data to obtain one or more clarifying question texts included in the group of clarifying answer sub-data.
In the embodiment of the present invention, further optionally, according to the determined data format of each set of clarified response data, the set of clarified response data is sent to the identification model corresponding to the data format of the set of clarified response data for identification, so as to obtain all the clarified question text information included in the set of clarified response data.
And when the data format of the clarified answer sub-data is a text format, inputting the clarified answer sub-data into a preset text recognition model, and performing question recognition to obtain all clarified question texts included in the clarified answer sub-data. The text recognition model may be a text recognition model commonly used in the art, and is not limited in the present invention.
When the data format of the clarified answer sub-data is a voice format, inputting the clarified answer sub-data into a preset voice recognition model, converting voice information into character information, and further recognizing clarified questions in the converted character information by a question recognition technology to obtain all clarified question texts included in the voice format clarified answer sub-data.
When the data format of the clarified answer sub-data is an image format, inputting the clarified answer sub-data into a preset image recognition model, recognizing character information in the image data, and further recognizing clarified questions in the character information by a question recognition technology to obtain all clarified question texts included in the image format clarified answer sub-data.
Therefore, the optional embodiment can support the bidder to send various types of clarification answer data, automatically perform data type identification and text conversion processing, and finally quickly obtain clarification question text data corresponding to the clarification answer data sent by the bidder.
The question answering module 303 is configured to identify each clarification question included in the clarification question answering data, and obtain a category to which the clarification question belongs; and sending the clarification question to an answering terminal matched with the category to which the clarification question belongs. And receiving the response opinions corresponding to the clarification questions fed back by the response terminals matched with the categories to which the clarification questions belong.
In the embodiment of the present invention, optionally, for each clarification question included in the clarification answer data, when obtaining the answer opinion corresponding to the clarification question, the following operations may be performed:
and B1, acquiring the clarification question text, and performing semantic analysis on the clarification question text. And extracting text characteristic data corresponding to the clarification problem text from the clarification problem text through semantic analysis.
In this optional embodiment, a preset semantic recognition algorithm is configured, so that semantic analysis can be performed on the clarified problem text, and text feature data included in the clarified problem text is extracted, where the text feature data may be a problem keyword.
The specific way of performing semantic analysis through a semantic recognition algorithm and extracting text feature data contained in the clarified problem text can be as follows:
and performing word segmentation operation on the clarification problem text.
And filtering the obtained participles to remove invalid words which are irrelevant to the problem text classification in the clarified problem text, such as connecting words of ' and ', ' and the like, and partial auxiliary words of ' ground ', ' ground ' and ' get ' and the like to obtain valid words relevant to the problem text classification.
And acquiring a preset key dictionary, and judging whether the effective words related to the problem text classification are in the preset key dictionary.
And if the effective words related to the problem text classification are in a preset key dictionary, taking the effective words related to the problem text classification as text characteristic data/problem keywords.
And if the valid words related to the problem text classification are not in the preset key dictionary, taking the valid words related to the problem text classification as invalid words.
And B2, inputting the text characteristic data corresponding to the clarification problem text into a preset clarification problem classification model, and obtaining the category of the clarification problem text through the preset clarification problem classification model.
Specifically, a word vector of the question keyword corresponding to the clarification question text determined in step B1 is constructed, and the clarification question text is described by the word vector. And inputting the word vector corresponding to the clarification problem text into a pre-trained clarification problem classification model to obtain the clarification problem category corresponding to the clarification problem text. The clarification problem category can be a business category, a technical category and the like, or other classification categories obtained by training according to training samples.
And B3, sending the clarification question to a question answering terminal matched with the category to which the clarification question belongs. And receiving the response opinions corresponding to the clarification questions fed back by the response terminals matched with the categories to which the clarification questions belong.
In the embodiment of the present invention, optionally, for each clarification question included in the clarification answer data, the answer opinion corresponding to the clarification question fed back by the answer terminal matched with the category to which the clarification question belongs is determined in the following manner:
and searching whether a response opinion matched with the clarification question exists in a preset clarification response database according to the received clarification question by the response terminal matched with the category of the clarification question. And if the response opinions matched with the received clarification questions are found in the preset clarification answer database, taking the found response opinions as the response opinions corresponding to the received clarification questions. And if the response opinions matched with the received clarification questions are not found in the preset clarification answer database, sending the received clarification questions to an answering person, and making response opinions corresponding to the received clarification questions by the answering person.
Specifically, each answering terminal is provided with a clarification answering database. The clarification answer database stores a plurality of historical clarification questions matched with the types of the answering terminals and corresponding answer opinions. And after the answering terminal receives the clarification question, searching whether a target historical clarification question consistent with the received clarification question exists in a preset clarification answering database.
If the preset clarification answer database has the target historical clarification question consistent with the received clarification question, the response opinion corresponding to the target historical clarification question is used as the response opinion corresponding to the received clarification question, namely the response opinion matched with the received clarification question is found in the preset clarification answer database. And further taking the searched reply opinions as reply opinions corresponding to the received clarification questions, and feeding the reply opinions back to the mobile terminal or the server for clarifying the answer data disclosed by the invention by the answer terminal.
If the preset clarification answer database does not have the target historical clarification question consistent with the received clarification question, the answer opinions matched with the received clarification question are not found in the preset clarification answer database. The received clarification question is sent to the answerer who manually makes a reply opinion corresponding to the received clarification question. After the answering terminal acquires the answer opinions made by the answering personnel. And feeding back the reply opinions to the mobile terminal or the server for clarifying the answering data processing disclosed by the invention.
The summarizing module 304 is configured to obtain and summarize response opinions corresponding to each clarification question included in the clarification response data, so as to obtain a summarized response opinion corresponding to the clarification response data.
In the embodiment of the invention, the mobile terminal or the server for clarifying the answering data processing receives the answering opinions fed back by a plurality of answering terminals. The obtained response opinions fed back by the multiple response terminals are collected, and the collected response opinions corresponding to each clarification question included in the clarification response data can be obtained.
And a feedback module 305, configured to feed back the summarized answer opinions corresponding to the clarified answer data to the service terminal.
In the embodiment of the invention, the summarized response opinions are fed back to the bidder service terminal sending the clarification answer data so as to finish the processing operation of the clarification answer data.
It can be seen that, by implementing the data processing apparatus for clarifying answers described in fig. 3, a clarifying question included in the clarifying answer data is obtained by acquiring and analyzing the clarifying answer data sent by the service terminal; for each clarification problem, identifying the category to which the clarification problem belongs, and sending the clarification problem to an answering terminal matched with the category to which the clarification problem belongs; and then receiving the response opinions fed back by the corresponding answering terminals. Summarizing the response opinions corresponding to each clarification question included in the clarification answer data to obtain a summarized response opinion; and the summary reply opinions are fed back to the service terminal. The method can accurately and efficiently realize the distribution of the clarification answering data and the timely acquisition of the answering information in the bidding service.
In the embodiment of the present invention, optionally, referring to fig. 5, fig. 5 is a schematic structural diagram of another data processing device for clarifying a question, disclosed in the embodiment of the present invention. The data processing device for clarifying answers further comprises: an audit module 306.
The auditing module 306 is configured to audit the summary answer opinions corresponding to the clarifying answer data to obtain an auditing result; judging whether the auditing result meets a preset condition or not; if the preset conditions are met, feeding the summary answer opinions corresponding to the clarification answer data back to a service terminal; and if the preset condition is not met, adjusting the summary answer opinions corresponding to the clarification answer data according to the preset condition.
In the embodiment of the present invention, optionally, the clarifying answer data includes service scenario information corresponding to the clarifying answer data.
The auditing module 306 is configured to audit the summary answer opinions corresponding to the clarified answer data to obtain an auditing result, and the specific manner includes:
for each reply opinion included in the summary reply opinions corresponding to the clarification answer data, whether the reply opinion is matched with the service scene of the clarification answer data is checked;
if the reply opinion is matched with the service scene of the clarification answer data, marking the auditing result of the reply opinion as passing;
and if the reply opinion does not match with the service scene of the clarification answer data, marking the auditing result of the reply opinion to be adjusted.
It can be seen that, by implementing the data processing apparatus for clarifying answers described in fig. 5, the answer opinions corresponding to each clarification question included in the clarifying answer data are summarized, after the summarized answer opinions are obtained, the summarized answer opinions corresponding to the clarifying answer data are reviewed, and whether the summarized answer opinions required to be fed back to the service terminal need to be adjusted is judged according to the result obtained by the review; and the summary reply opinions are fed back to the service terminal. Complete and accurate response information can be obtained in the bidding service.
Example four
Referring to fig. 6, fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure. As shown in fig. 6, the electronic device may include:
a memory 601 in which executable program code is stored;
a processor 602 coupled to a memory 601;
the processor 602 calls the executable program code stored in the memory 601 to execute the data processing method for clarifying answers described in the first embodiment of the present invention or the second embodiment of the present invention.
EXAMPLE five
The embodiment of the invention discloses a computer storage medium, which stores computer instructions, and when the computer instructions are called, the computer storage medium is used for executing the data processing method for clarifying answers described in the first embodiment or the second embodiment of the invention.
The above-described embodiments of the apparatus are merely illustrative, and the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above detailed description of the embodiments, those skilled in the art will clearly understand that the embodiments may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. Based on such understanding, the above technical solutions may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, where the storage medium includes a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc-Read-Only Memory (CD-ROM), or other disk memories, CD-ROMs, or other magnetic disks, A tape memory, or any other medium readable by a computer that can be used to carry or store data.
Finally, it should be noted that: the data processing method and apparatus for clarifying answers disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, and are only used for illustrating the technical solutions of the present invention, rather than limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A data processing method for clarifying an answer, the method comprising:
receiving clarification answering data sent by a service terminal;
analyzing the clarification answer data to obtain clarification questions included in the clarification answer data, wherein the clarification questions are one or more;
for each clarification question included in the clarification answer data, identifying the clarification question to obtain the category of the clarification question; sending the clarification question to a question answering terminal matched with the category to which the clarification question belongs; receiving a response opinion corresponding to the clarification question fed back by a response terminal matched with the category to which the clarification question belongs;
obtaining and summarizing the response opinions corresponding to each clarification question included in the clarification answer data to obtain the summarized response opinions corresponding to the clarification answer data;
and feeding back the summary answer opinions corresponding to the clarification answer data to a service terminal.
2. The data processing method for clarifying responses of claim 1, wherein said analyzing said clarifying response data to obtain a clarifying question included in said clarifying response data comprises:
analyzing the clarification answer data, and determining the data format of the clarification answer data, wherein the data format of the clarification answer data is one of a text format, a voice format and an image format;
and identifying the clarifying answer data according to the data format of the clarifying answer data to obtain one or more clarifying question texts included in the clarifying answer data.
3. The data processing method for clarifying response of claim 2, wherein said identifying the clarifying response data according to the data format of the clarifying response data to obtain the clarifying question text included in the clarifying response data comprises:
if the data format of the clarifying answer data is a text format, inputting the clarifying answer data into a preset text recognition model to obtain a clarifying question text included in the clarifying answer data;
if the data format of the clarifying answer data is a voice format, inputting the clarifying answer data into a preset voice recognition model to obtain a clarifying question text included in the clarifying answer data;
and if the data format of the clarification answer data is an image format, inputting the clarification answer data into a preset image recognition model to obtain a clarification question text included in the clarification answer data.
4. The data processing method for clarifying responses of claim 2, wherein for each clarification question included in the clarifying response data, identifying the clarification question to obtain the category to which the clarification question belongs comprises:
for each clarification question text included in the clarification answer data, acquiring the clarification question text, and performing semantic analysis on the clarification question text;
extracting text characteristic data corresponding to the clarification problem text from the clarification problem text through semantic analysis;
and inputting the text characteristic data corresponding to the clarification problem text into a preset clarification problem classification model, and obtaining the category of the clarification problem text through the preset clarification problem classification model.
5. The data processing method for clarifying responses of claim 1, wherein before the feeding back the summarized responses corresponding to the clarified responses to the service provider, the method further comprises:
checking the summary reply opinions corresponding to the clarified answer data to obtain a checking result;
judging whether the auditing result meets a preset condition or not;
if the preset conditions are met, feeding the summary answer opinions corresponding to the clarification answer data back to a service terminal;
and if the preset condition is not met, adjusting the summary answer opinions corresponding to the clarification answer data according to the preset condition.
6. The data processing method for clarifying responses of claim 5, wherein the clarifying responses data includes service scenario information corresponding to the clarifying responses data;
and the step of auditing the summary answer opinions corresponding to the clarification answer data to obtain an auditing result comprises the following steps:
for each reply opinion included in the summary reply opinions corresponding to the clarification answer data, whether the reply opinion is matched with the service scene of the clarification answer data is checked;
if the reply opinion is matched with the service scene of the clarification answer data, marking the auditing result of the reply opinion as passing;
and if the reply opinion does not match with the service scene of the clarification answer data, marking the auditing result of the reply opinion to be adjusted.
7. The data processing method for clarifying responses according to claim 1, wherein for each clarification question included in the clarification response data, the response opinion corresponding to the clarification question fed back by the response terminal matching the category to which the clarification question belongs is determined by:
searching whether a response opinion matched with the clarification question exists in a preset clarification response database according to the received clarification question by a response terminal matched with the category of the clarification question;
if the answer opinions matched with the received clarification questions are found in the preset clarification answer database, the found answer opinions are used as the answer opinions corresponding to the received clarification questions;
and if the response opinions matched with the received clarification questions are not found in the preset clarification answer database, sending the received clarification questions to an answering person, and making response opinions corresponding to the received clarification questions by the answering person.
8. A data processing apparatus for clarifying an answer, the apparatus comprising:
the receiving module is used for receiving the clarification answering data sent by the service terminal;
the analysis module is used for analyzing the clarification answer data to obtain clarification questions included in the clarification answer data, wherein the clarification questions are one or more;
the answering module is used for identifying each clarification question included in the clarification answering data to obtain the category of the clarification question; sending the clarification question to a question answering terminal matched with the category to which the clarification question belongs; receiving a response opinion corresponding to the clarification question fed back by a response terminal matched with the category to which the clarification question belongs;
the summarizing module is used for acquiring and summarizing the response opinions corresponding to each clarification question included in the clarification answer data to obtain the summarizing response opinions corresponding to the clarification answer data;
and the feedback module is used for feeding the summary answer opinions corresponding to the clarification answer data back to the service terminal.
9. An electronic device, characterized in that the electronic device comprises:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the data processing method for clarifying answers as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium, having stored thereon computer program instructions for executing the data processing method for clarifying a question according to any one of claims 1 to 7, when invoked.
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