CN113793169A - User comment data processing method, device, equipment and storage medium - Google Patents
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Abstract
The invention discloses a user comment data processing method, a device, equipment and a storage medium, wherein the method comprises the following steps: after a crawling instruction is detected, controlling to obtain after-sale comment information of the product on each E-commerce platform; performing semantic analysis on the acquired after-sale comment information based on a preset keyword with good comment degree to obtain comprehensive evaluation feedback corresponding to the product; and establishing and outputting a goodness analysis chart corresponding to the product according to the comprehensive evaluation feedback corresponding to the product. The method aims to solve the problem that in the prior art, a scheme which can automatically extract and analyze the character evaluation contents of all users in a commodity link, count the analysis results and make a data chart capable of truly reflecting the advantages and the disadvantages of various aspects of commodities does not exist. The method provides real and visual commodity evaluation data for buyers and provides efficient and accurate user feedback data for commodity manufacturers.
Description
Technical Field
The invention relates to the field of data processing, in particular to a data processing method, a device, equipment and a storage medium based on user comment.
Background
With the continuous development of the internet, users tend to buy goods through the internet more and more, the user feedback quantity of each corresponding channel also increases rapidly, and the most common user feedback channel at present is the user evaluation of an e-commerce platform, but the real evaluation of buyers cannot be obtained through the evaluation system of the platform itself, such as the parameters of the good evaluation rate or the bad evaluation quantity, and the real evaluation of the buyers often lies in the text evaluation part.
In the prior art, a scheme for automatically extracting and analyzing the character evaluation contents of all users in a commodity link, counting the analysis results and making a data chart capable of truly reflecting the advantages and disadvantages of various aspects of commodities does not exist. The method cannot provide real and intuitive evaluation data for a user who is ready to purchase the commodity, cannot provide real and rapid user feedback for commodity manufacturers, and is referred to later research and development strategies.
Thus, there is still a need for improvement and development of the prior art.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method, an apparatus, a terminal device and a storage medium for processing data based on user comments, which are used for solving the problem that in the prior art, a scheme is lacking that can automatically extract and analyze text evaluation contents of all users in a commodity link, and count analysis results to make a data chart capable of truly reflecting various advantages and disadvantages of the commodity.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a user comment data processing method, wherein the method comprises:
after a crawling instruction is detected, controlling to obtain after-sale comment information of the product on each E-commerce platform;
performing semantic analysis on the acquired after-sale comment information based on a preset keyword with good comment degree to obtain comprehensive evaluation feedback corresponding to the product;
and establishing and outputting a goodness analysis chart corresponding to the product according to the comprehensive evaluation feedback corresponding to the product.
The user comment data processing method comprises the following steps of detecting a crawling instruction and controlling to acquire after-sale comment information of a product on each e-commerce platform:
and when a data crawling instruction is detected, controlling to crawl after-sale comment information of products in each E-commerce platform through a web crawler which is customized and developed for each E-commerce platform.
The user comment data processing method comprises the following steps of detecting a crawling instruction and controlling to acquire after-sale comment information of a product on each e-commerce platform:
the method comprises the steps of customizing and developing a web crawler for crawling after-sale comment information aiming at each E-commerce platform in advance, and setting a data crawling triggering mode of the web crawler to comprise timed automatic crawling and manual crawling.
The user comment data processing method comprises the following steps of detecting a crawling instruction and controlling to acquire after-sale comment information of a product on each e-commerce platform:
keywords for reflecting the good appraisal degree of the product from the aspect of the function and/or the characteristics of the product are preset.
The user comment data processing method comprises the following steps of carrying out semantic analysis on the acquired after-sale comment information based on preset keywords with good comment degrees to obtain comprehensive evaluation feedback corresponding to a product:
semantic analysis is carried out on the crawled after-sale comment information through a language processing algorithm;
and combining preset keywords and semantic analysis results to obtain comprehensive evaluation feedback corresponding to the product.
The data processing method based on the user comment comprises the following steps of obtaining comprehensive evaluation feedback corresponding to a product by combining preset keywords and semantic analysis results:
combining preset keywords with semantic analysis results to obtain the commenting degree corresponding to the after-sale comment information;
and arranging at least one good evaluation degree into comprehensive evaluation feedback corresponding to the product.
The data processing method based on the user comment comprises the following steps of establishing and outputting a goodness analysis chart corresponding to a product according to comprehensive evaluation feedback corresponding to the product:
establishing a good-evaluation analysis chart corresponding to the product according to the obtained comprehensive evaluation feedback;
the goodness-of-appraisal analysis chart comprises at least one chart item for describing the function and/or the characteristic of the product and goodness of each chart item.
A user comment based data processing apparatus, wherein the apparatus comprises:
the system comprises a presetting module, a judging module and a judging module, wherein the presetting module is used for presetting keywords for reflecting the good appraisal degree of a product from the perspective of functions and/or characteristics of the product;
the acquisition module is used for crawling after-sale comment information of products in each e-commerce platform through a web crawler which is customized and developed for each e-commerce platform;
the analysis module is used for performing semantic analysis on the acquired after-sale comment information through preset keywords with good comment degrees to obtain comprehensive evaluation feedback corresponding to the product;
and the chart creating module is used for establishing and outputting a favorable evaluation analysis chart corresponding to the product according to the comprehensive evaluation feedback corresponding to the product.
A terminal device comprises a memory, a processor and a user comment data processing program which is stored on the memory and can run on the processor, wherein when the processor executes the user comment data processing program, the steps of any one of the user comment data processing methods are realized.
A computer-readable storage medium, wherein a user comment data processing program is stored thereon, which when executed by a processor, implements the steps of any of the user comment data processing methods.
Has the advantages that: compared with the prior art, the invention provides a data processing method based on user comment, which adopts the following steps: after a crawling instruction is detected, controlling to obtain after-sale comment information of the product on each E-commerce platform; performing semantic analysis on the acquired after-sale comment information based on a preset keyword with good comment degree to obtain comprehensive evaluation feedback corresponding to the product; and establishing and outputting a goodness analysis chart corresponding to the product according to the comprehensive evaluation feedback corresponding to the product. The method can automatically crawl the after-sale comment data of the product on the E-commerce platform, establish a good comment analysis chart according to the after-sale comment data of the product, and allow a manufacturer to analyze the advantages and the disadvantages of the product, thereby achieving the effect of efficiently acquiring and analyzing the advantages and the disadvantages of the product, providing a real and intuitive commodity evaluation data chart for a user who wants to purchase the commodity, efficiently providing real feedback of the user for a manufacturer who produces the commodity, and making effective reference for the development of subsequent products.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a specific implementation of a data processing method based on user comments, provided by an embodiment of the present invention.
FIG. 2 is a bar graph of product characteristics and goodness of the vacuum cup provided by the embodiment of the invention.
FIG. 3 is a comparison graph of user comment data collected by human and the method provided by the embodiment of the invention.
FIG. 4 is a comparison graph of processing user comment data using human and the present method, provided by an embodiment of the present invention.
Fig. 5 is a flowchart illustrating a user comment-based data processing method according to a further embodiment of the present invention.
Fig. 6 is a schematic block diagram of a data processing apparatus based on user comments according to an embodiment of the present invention.
Fig. 7 is a schematic diagram of an internal structure of a terminal device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It should be noted that, if directional indications (such as up, down, left, right, front, and back … …) are involved in the embodiment of the present invention, the directional indications are only used to explain the relative positional relationship between the components, the movement situation, and the like in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indications are changed accordingly.
In addition, if there is a description of "first", "second", etc. in an embodiment of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
With the continuous development of the internet, the sound production channels of users for products are continuously increased, and the corresponding feedback quantity of the users is also rapidly increased. How to effectively utilize the feedback of the user on the e-commerce platform and dig out all dimension information of the product becomes a problem of important attention of all major manufacturers. At present, the most common user feedback channel is user comments of an e-commerce platform, part of websites divide the feedback into different categories according to positive and negative evaluation of users, and other websites divide new categories individually according to product characteristics with more user attention to include related feedback. However, manufacturers often have low efficiency when using the user comment data of such channels, because all user feedback needs to be analyzed item by item to obtain the attention points, pain points and other dimension information of users on products, and such repetitive work is required whenever a new batch of data comes in, such inefficiency has a serious impact on products with fast update iteration, and an efficient product user feedback analysis can bring many advantages to products.
In order to solve the above problems, embodiments of the present invention provide a method for processing data based on user reviews, according to which after-sale review information of a product on each e-commerce platform can be automatically crawled, and an after-sale review analysis chart can be automatically analyzed and established according to the after-sale review information. The problem that efficiency is low when a manufacturer utilizes a user feedback of an e-commerce platform is solved, efficient and accurate product feedback data analysis and modeling are achieved, and effective information support is provided for the manufacturer in further product research and development and strategy making.
Exemplary method
As shown in fig. 1, an embodiment of the present invention provides a data processing method based on user comments. The method in the embodiment of the invention comprises the following steps:
s100, detecting a crawling instruction, and controlling to acquire after-sale comment information of the product on each E-commerce platform;
in this embodiment, when a crawling instruction which is automatically or manually started at a fixed time is detected, after-sale comment information of a product on each e-commerce platform, including characters, pictures and a favorable comment option of the platform, is controlled to be acquired. The goodness option is a button that is popped up by the user when confirming the receipt and is used for selecting the satisfaction degree of the goods or services.
Specifically, when a data crawling instruction is detected, the method controls a web crawler developed for each e-commerce platform to crawl after-sale comment information of products in each e-commerce platform.
The method comprises the steps that a web crawler is customized and developed for each e-commerce platform or each commonly-used e-commerce platform in advance, and the mode that the web crawler triggers data crawling comprises timed automatic crawling and manual crawling.
For example, the electronic commerce platform used by most users in china is panning and jingdong, when a manufacturer needs to obtain feedback of a product, a panning web crawler for crawling user after-sale comment information of a panning product is manufactured in advance, and a jingdong web crawler for crawling user after-sale comment information of a jingdong product is manufactured in advance.
For example, a certain manufacturer a puts a produced vacuum cup on shelf to a treasure picking shop, the monthly sales of the vacuum cup can reach five thousand by propaganda, and after three months, the manufacturer prepares to research and develop and produce a second vacuum cup, and at this time, the user feedback of the first vacuum cup needs to be acquired and analyzed. The manufacturer crawls the after-sale comment information of the water cup of the panning platform through a web crawler developed for the panning platform, for example, the after-sale comment information of a 15000 user is crawled, and only 3000 after-sale comment information which can reflect the goodness of the user for the vacuum cup is crawled through the web crawler after the after-sale comment information of 'the user does not comment' is fixedly removed.
Furthermore, in order to improve and control the degree of freedom of crawling information, a crawling mode selection function is set, when the crawling mode selection function is set to be manual crawling, only when a user manually presses a switch of the after-sale comment information crawling function, a web crawler corresponding to the e-commerce platform starts to crawl the after-sale comment information of the user in a product link; when the crawling mode selection function is set to be automatic crawling at regular time, for example, data is fetched once a day according to a preset crawling time interval, and after the timer records one hour, a web crawler corresponding to the e-commerce platform begins to crawl after-sale comment information of users in product connection.
Further, step S200, performing semantic analysis on the acquired after-sale comment information based on preset keywords with good comment degree to obtain comprehensive evaluation feedback corresponding to the product;
in this embodiment, according to a preset keyword for evaluating the goodness of evaluation of a certain function or characteristic of a product by a user, semantic analysis is performed in combination with after-sale comment information, so as to obtain comprehensive evaluation feedback of the product in the e-commerce platform. The semantic analysis is the analysis and extraction of the user language meaning by using the natural language processing related technology, for example, the most basic vocabulary can be replaced, the difficult, unpleasant, very rotten and the like can be classified as dislike, the beautiful, satisfactory, happy and the like can be classified as like, and the preset keywords with good evaluation degree are combined, the after-sale comment information of the user is converted into words or phrases which are similar to the keywords with good evaluation degree, so that the feedback data can be more accurate, more accurate evaluation data can be provided for manufacturers, and the manufacturers can design by catching the user's preference in a targeted manner when developing and manufacturing products.
Wherein, keywords for reflecting the good appraisal degree of the product from the aspects of the product function and/or the characteristics are preset. The keywords comprise vocabularies used for embodying the functions or characteristics of the product, such as cruising duration, comfort level, screen and performance, and vocabularies used for embodying whether a certain function or characteristic of the product is praised or not, such as good, perfect, like and bad.
Specifically, the step of performing semantic analysis on the acquired after-sale comment information based on the preset keyword of goodness of comment to obtain comprehensive evaluation feedback corresponding to the product includes:
semantic analysis is carried out on the crawled after-sale comment information through a language processing algorithm;
and combining preset keywords and semantic analysis results to obtain comprehensive evaluation feedback corresponding to the product.
The step of obtaining the comprehensive evaluation feedback corresponding to the product by combining the preset keywords and the semantic analysis result comprises the following steps:
combining preset keywords with semantic analysis results to obtain the commenting degree corresponding to the after-sale comment information;
and arranging at least one good evaluation degree into comprehensive evaluation feedback corresponding to the product.
For example, the manufacturer a crawls 3000 pieces of effective after-sale comment information on an elutriation platform, and processes 3000 pieces of information one by combining preset keywords and semantic analysis. For example, if one piece of information is 'baby is beautiful and child likes', the product characteristics of the after-sale comment information comment are obtained through semantic analysis and are appearance, and the user shows like, and then two keywords of product appearance and favorable comment are found through comparing preset keywords; one of the long after-sale comment information is' only ever before the last week, the peculiar smell of the water bottle is serious after the water bottle is opened, the heat preservation effect is not good, the water bottle cannot be drunk by customers for two sentences, and the comment is poor! Reading after-sale evaluation information of a user through semantic analysis to obtain four evaluations of slow logistics, odor, temperature preservation, poor service attitude and the like, and finding out four product characteristics, namely logistics, odor, heat preservation effect and after-sale service, contained in the after-sale evaluation information by combining preset keywords, wherein the evaluations are poor; and the after-sale comment information is that the baby is good and the millet and the egg are good to eat, the product characteristics which can be evaluated through semantic analysis and combination of preset keywords are the heat preservation effect, and the evaluation is good.
When all after-sale comment information is subjected to semantic analysis, a plurality of groups of product characteristics and comment information evaluated by the characteristics are obtained, for example, the evaluation in product appearance accounts for 80%, generally 17% and the evaluation in product appearance accounts for 3%, the evaluation in heat preservation effect accounts for 70%, generally 22% and the evaluation in product appearance accounts for 8%. If the scores of five, three and one are respectively given to good, general and difference, and the score of each product characteristic is respectively calculated to obtain the product appearance score of 4.54 and the heat preservation effect of 4.24, the obtained scores are sorted to obtain the comprehensive evaluation feedback of the vacuum cup, a manufacturer can make a decision according to the comprehensive evaluation feedback when developing the vacuum cup next time, for example, the product appearance score is the highest, the product development strategy of the next vacuum cup is to make a plurality of good heat preservation conforming to the aesthetic sense of men, women, old and young, and a new vacuum cup is popularized outwards by utilizing the popularity of a user who buys the first vacuum cup because the product appearance is liked, or a product with better heat preservation effect is further developed because the heat preservation effect is poorer, so that the user can like all aspects of the vacuum cup.
Further, step S300, according to the comprehensive evaluation feedback corresponding to the product, a goodness analysis chart corresponding to the product is established and output.
In this embodiment, in order to further obtain more intuitive product data, so that a manufacturer can know product information such as audience points and defects of a product, the comprehensive evaluation feedback is converted, and a good evaluation analysis chart corresponding to the product is established.
The goodness analysis chart comprises at least one chart item for describing the product characteristics and/or characteristics and the goodness of the product characteristic chart item, and the chart form comprises but is not limited to a bar chart, a pie chart, a broken line chart, a three-dimensional data graph and the like.
For example, as shown in fig. 2, the product feature items of the general evaluation feedback of the vacuum cup of the conventional manufacturer a include product appearance, insulation effect, product size, logistics, and after-sales service, and the scores thereof are respectively 4.54, 4.24, 4.35, 4.44, and 4.12, so that five items including product appearance, insulation effect, product size, logistics, and after-sales service are respectively provided on the abscissa when the general evaluation feedback of the vacuum cup is established as a bar graph, and the ordinate represents the score of each good rating.
As shown in fig. 3 and fig. 4, by actually comparing the time cost, communication cost, work efficiency and limitations of the method of the present invention and the manual information collection and processing method, the result is that the efficiency of the user comment-based data processing method of the present invention is improved twenty times compared with the manual information collection and processing method, the cost is greatly reduced, the manual processing may be advanced or delayed, and has uncertainty, and the accurate completion time can be calculated by the device collection and processing method.
The process of the invention is described in further detail below by means of a specific application example:
as shown in fig. 5, the method for processing data based on user comments according to this specific application embodiment includes the following steps:
step S10, start, proceed to step S11;
step S11, configuring basic information of the crawler task in advance, wherein the basic information comprises (product, period), and entering step S12;
step S12, configuring the URL of the website, namely the network address, and entering the step S13;
step S13, configuring an early warning mailbox, and entering step S14;
step S14, starting the crawler task, and entering step S15;
step S15, crawling user comment information, and entering step S16;
step S16, analyzing comment information of the user through a natural language processing related technology, and entering step S17;
step S17, carrying out statistics on the data of the crawled and analyzed user comment information and drawing a chart, and entering step S18;
s18, automatically sending the low score items to a preset early warning mailbox through a mail, and entering S20;
and step S20, end.
Therefore, in the specific application embodiment of the invention, the user can automatically crawl the user comment information of the commodity of the e-commerce platform and automatically draw the user comment information into the visual data table by the method, and can automatically send the early warning mail to the preset early warning mailbox for reminding the corresponding responsible person to process by identifying the low-grade item, so that the efficiency of a manufacturer in obtaining the real comment feedback of the user is improved, and the effect of searching for the product shortage and solving the problem is further ensured by the automatic mail reminding function. As shown in fig. 5, the crawler task for crawling data is configured in advance, for example, basic information such as product name, crawling cycle, feedback mailbox and the like is configured, so that a manufacturer can accurately know which product of which e-commerce platform the crawler is used for crawling when using the crawler task, and how often the crawling cycle is for each time, for example, once a week, once a day and once a month. The method further comprises the steps of configuring a corresponding website URL and a link address of user comment data of a corresponding product to be crawled, and configuring an early warning mailbox for timely notifying a relevant responsible person through a mail when a certain item of data is too low or the crawled data is abnormal, for example, when the overall evaluation of a user is found to be low, a competitor can be considered to possibly have bad comments maliciously, and when a certain score is too low, a certain defect of the product can be caused, so that the product needs to be adjusted timely. Further, when the crawler task, the website URL and the early warning mailbox are set, the crawler task is started, the crawler crawls user comment information of a preset website, and analyzes the comment information of the user through a natural language processing related technology to obtain the meaning of each effective user comment. For example, when the crawled product data is a water pen, the meaning which the user wants to express, such as the evaluation of good appearance, smooth writing, slight smell and the like, is extracted, the obtained evaluation is subjected to data statistics and drawn into an intuitive chart, the items with lower scores or the scores which are seriously lower than the scores of the crawled data at the last time in all the items are automatically identified, and a corresponding person in charge is notified through a preset mail to remind the person in charge of further finding out the reason and solving the problem.
By the user comment data processing method, a manufacturer can efficiently acquire and analyze the user comments, can judge whether malicious bad comments exist or products have serious defects and other problems by identifying the user evaluation information, and timely sends mails to log responsible persons, so that the manufacturer can avoid risks in time.
Exemplary devices
As shown in fig. 6, an embodiment of the present invention provides a user comment based data processing apparatus including: a presetting module 610, an obtaining module 620, an analyzing module 630 and a chart creating module 640. Specifically, the preset module 610 is configured to preset a keyword for reflecting the favorable evaluation of the product from the perspective of the product function and/or characteristic; the obtaining module 620 is configured to crawl after-sale comment information of products in each e-commerce platform through a web crawler which is customized and developed for each e-commerce platform; the analysis module 630 is configured to perform semantic analysis on the acquired after-sale comment information through a preset keyword of a good comment degree to obtain a comprehensive evaluation feedback corresponding to the product; the chart creating module 640 is configured to create and output a goodness-of-evaluation analysis chart corresponding to the product according to the comprehensive evaluation feedback corresponding to the product.
Based on the above embodiments, the present invention further provides a terminal device, and a schematic block diagram thereof may be as shown in fig. 7. The terminal equipment comprises a processor, a memory, a network interface and a display screen which are connected through a system bus. Wherein the processor of the terminal device is configured to provide computing and control capabilities. The memory of the terminal equipment comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the terminal device is used for connecting and communicating with an external terminal through a network. The computer program is executed by a processor to implement a user comment based data processing. The display screen of the terminal equipment can be a liquid crystal display screen or an electronic ink display screen.
It will be understood by those skilled in the art that the block diagram of fig. 7 is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation to the terminal device to which the solution of the present invention is applied, and a specific terminal device may include more or less components than those shown in the figure, or combine some components, or have a different arrangement of components.
In one embodiment, there is provided a terminal device, the terminal device including a memory, a processor, and a user comment data processing program stored on and executable on the processor, the processor performing the steps of:
after a crawling instruction is detected, controlling to obtain after-sale comment information of the product on each E-commerce platform;
performing semantic analysis on the acquired after-sale comment information based on a preset keyword with good comment degree to obtain comprehensive evaluation feedback corresponding to the product;
and establishing and outputting a goodness analysis chart corresponding to the product according to the comprehensive evaluation feedback corresponding to the product.
The step of detecting the crawling instruction and controlling to acquire after-sale comment information of the product on each e-commerce platform comprises the following steps of:
and when a data crawling instruction is detected, controlling to crawl after-sale comment information of products in each E-commerce platform through a web crawler which is customized and developed for each E-commerce platform.
The step of detecting the crawling instruction and controlling the acquisition of the after-sale comment information of the product on each e-commerce platform further comprises the following steps:
the method comprises the steps of customizing and developing a web crawler for crawling after-sale comment information aiming at each E-commerce platform in advance, and setting a data crawling triggering mode of the web crawler to comprise timed automatic crawling and manual crawling.
The method comprises the following steps of detecting a crawling instruction, and controlling to acquire after-sale comment information of a product on each e-commerce platform, wherein the steps comprise:
keywords for reflecting the good appraisal degree of the product from the aspect of the function and/or the characteristics of the product are preset.
The method comprises the following steps of obtaining after-sale comment information, wherein the after-sale comment information is subjected to semantic analysis based on preset keywords with good comment degrees, and the comprehensive evaluation feedback corresponding to a product is obtained, and comprises the following steps:
semantic analysis is carried out on the crawled after-sale comment information through a language processing algorithm;
and combining preset keywords and semantic analysis results to obtain comprehensive evaluation feedback corresponding to the product.
The step of obtaining the comprehensive evaluation feedback corresponding to the product by combining the preset keywords and the semantic analysis result comprises the following steps:
combining preset keywords with semantic analysis results to obtain the commenting degree corresponding to the after-sale comment information;
and arranging at least one good evaluation degree into comprehensive evaluation feedback corresponding to the product.
The step of establishing and outputting a goodness analysis chart corresponding to the product according to the comprehensive evaluation feedback corresponding to the product comprises the following steps of:
establishing a good-evaluation analysis chart corresponding to the product according to the obtained comprehensive evaluation feedback;
the goodness-of-appraisal analysis chart comprises at least one chart item for describing the function and/or the characteristic of the product and goodness of each chart item.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, databases, or other media used in embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
In summary, the present invention discloses a method, an apparatus, a device and a storage medium for processing data based on user comment, wherein the method comprises: after a crawling instruction is detected, controlling to obtain after-sale comment information of the product on each E-commerce platform; performing semantic analysis on the acquired after-sale comment information based on a preset keyword with good comment degree to obtain comprehensive evaluation feedback corresponding to the product; and establishing and outputting a goodness analysis chart corresponding to the product according to the comprehensive evaluation feedback corresponding to the product. The method aims to solve the problem that in the prior art, a scheme which can automatically extract and analyze the character evaluation contents of all users in a commodity link, count the analysis results and make a data chart capable of truly reflecting the advantages and the disadvantages of various aspects of commodities does not exist. The method provides real and visual commodity evaluation data for buyers and provides efficient and accurate user feedback data for commodity manufacturers.
It is to be understood that the invention disclosed is not limited to the examples described above, but may be modified or varied by those skilled in the art, all falling within the scope of the invention as defined by the appended claims.
Claims (10)
1. A data processing method based on user comment is characterized by comprising the following steps:
after a crawling instruction is detected, controlling to obtain after-sale comment information of the product on each E-commerce platform;
performing semantic analysis on the acquired after-sale comment information based on a preset keyword with good comment degree to obtain comprehensive evaluation feedback corresponding to the product;
and establishing and outputting a goodness analysis chart corresponding to the product according to the comprehensive evaluation feedback corresponding to the product.
2. The user comment data processing method based on claim 1, wherein the step of controlling acquisition of after-sale comment information of a product on each e-commerce platform by detecting a crawling instruction comprises:
and when a data crawling instruction is detected, controlling to crawl after-sale comment information of products in each E-commerce platform through a web crawler which is customized and developed for each E-commerce platform.
3. The user comment data processing method based on claim 2, wherein the step of detecting the crawling instruction and controlling the acquisition of the after-sale comment information of the product on each e-commerce platform further comprises:
the method comprises the steps of customizing and developing a web crawler for crawling after-sale comment information aiming at each E-commerce platform in advance, and setting a data crawling triggering mode of the web crawler to comprise timed automatic crawling and manual crawling.
4. The user comment data processing method based on claim 1, wherein the step of detecting the crawling instruction and controlling the acquisition of the after-sale comment information of the product on each e-commerce platform comprises the following steps:
keywords for reflecting the good appraisal degree of the product from the aspect of the function and/or the characteristics of the product are preset.
5. The user comment data processing method according to claim 4, wherein the step of performing semantic analysis on the acquired after-sale comment information based on a preset keyword with good comment degree to obtain a comprehensive evaluation feedback corresponding to a product includes:
semantic analysis is carried out on the crawled after-sale comment information through a language processing algorithm;
and combining preset keywords and semantic analysis results to obtain comprehensive evaluation feedback corresponding to the product.
6. The user comment data processing method as claimed in claim 5, wherein the step of obtaining a comprehensive evaluation feedback corresponding to a product by combining the preset keywords and the semantic analysis result comprises:
combining preset keywords with semantic analysis results to obtain the commenting degree corresponding to the after-sale comment information;
and arranging at least one good evaluation degree into comprehensive evaluation feedback corresponding to the product.
7. The user comment-based data processing method as claimed in claim 6, wherein the step of creating and outputting a goodness of comment analysis chart corresponding to a product based on the comprehensive evaluation feedback corresponding to the product comprises:
establishing a good-evaluation analysis chart corresponding to the product according to the obtained comprehensive evaluation feedback;
the goodness-of-appraisal analysis chart comprises at least one chart item for describing the function and/or the characteristic of the product and goodness of each chart item.
8. A user comment based data processing apparatus, characterized in that the apparatus comprises:
the system comprises a presetting module, a judging module and a judging module, wherein the presetting module is used for presetting keywords for reflecting the good appraisal degree of a product from the perspective of functions and/or characteristics of the product;
the acquisition module is used for crawling after-sale comment information of products in each e-commerce platform through a web crawler which is customized and developed for each e-commerce platform;
the analysis module is used for performing semantic analysis on the acquired after-sale comment information through preset keywords with good comment degrees to obtain comprehensive evaluation feedback corresponding to the product;
and the chart creating module is used for establishing and outputting a favorable evaluation analysis chart corresponding to the product according to the comprehensive evaluation feedback corresponding to the product.
9. A terminal device, characterized in that the terminal device comprises a memory, a processor and a user comment data processing program stored in the memory and executable on the processor, and the processor implements the steps of the user comment data processing method according to any one of claims 1 to 7 when executing the user comment data processing program.
10. A computer-readable storage medium, having stored thereon a user comment data-based processing program which, when executed by a processor, carries out the steps of the user comment data-based processing method according to any one of claims 1 to 7.
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| CN202110922557.0A CN113793169A (en) | 2021-08-12 | 2021-08-12 | User comment data processing method, device, equipment and storage medium |
| PCT/CN2021/123925 WO2023015715A1 (en) | 2021-08-12 | 2021-10-14 | User-comment-based data processing method and apparatus, and device and storage medium |
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