CN114169926A - Commodity data analysis method, system, device and medium based on user comments - Google Patents
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Abstract
The invention discloses a commodity data analysis method, a system, equipment and a medium based on user comments, wherein the commodity data analysis method comprises the following steps: acquiring sales data and user comment data corresponding to various commodities, and associating the sales data and the user comment data of the same commodity; screening sales data of various commodities to obtain target commodities of the class meeting preset refund conditions, and calling user comment data associated with the target commodities of the class; and analyzing the comment content of the user comment data of the target commodity, and pushing and displaying a defect report of the target commodity generated according to the analysis result to the appointed terminal. The invention can realize batch and comprehensive analysis of the reason for returning goods of the user comments, can enable merchants to quickly know the defects of products, and improves the accuracy of product analysis and the efficiency of product analysis.
Description
Technical Field
The invention relates to the field of E-commerce big data analysis, in particular to a commodity data analysis method, a commodity data analysis system, commodity data analysis equipment and a storage medium based on user comments.
Background
At the present stage, the online shopping is accepted and used by vast consumers due to the advantages of convenience, rapidness and the like, the e-commerce platform brings convenience to buyers and also brings various challenges to sellers, under the principle that the e-commerce platform is fairly open and fair, users can submit comments at will, the defects of products are published according to the satisfaction degree of the users, and even return goods and refund are selected; however, due to the fact that the characteristic information of the internet is very fast in transmission speed, defects of products are likely to be amplified in the information transmission process, and once the defects of the grooves are opened by a user, goods returning and money returning are likely to be caused, other buyer users can also find that the user is dissatisfied with comments and possibly choose to abandon purchasing the products; the method has adverse effects on the sales of enterprises, and brings great economic loss to the enterprises.
The existing e-commerce platform generally lacks information analysis capability, a merchant can only read comments from numerous user comments one by one, and then select partial user comments from the comments for analysis, so that the market condition of a commodity can be known.
Disclosure of Invention
In order to overcome the defects of the prior art, one of the purposes of the invention is to provide a commodity data analysis method based on user comments, so that the reason for returning goods of the user comments is analyzed in batch and comprehensively, a merchant can quickly know the defects of the products, the accuracy of product analysis is improved, and the product analysis efficiency is improved.
The invention also aims to provide a commodity data analysis system based on user comments.
It is a further object of the present invention to provide an electronic device.
It is a fourth object of the present invention to provide a storage medium.
One of the purposes of the invention is realized by adopting the following technical scheme:
a commodity data analysis method based on user comments comprises the following steps:
acquiring sales data and user comment data corresponding to various commodities, and associating the sales data and the user comment data of the same commodity;
screening sales data of various commodities to obtain target commodities of the class meeting preset refund conditions, and calling user comment data associated with the target commodities of the class;
and analyzing the comment content of the user comment data of the target commodity, and pushing and displaying a defect report of the target commodity, which is generated according to the analysis result.
Further, the method for associating the sales data and the user comment data of the same commodity comprises the following steps:
generating a unique identifier corresponding to a commodity in advance according to commodity information of the commodity;
and associating the sales data and the user comment data with the same unique identification of the commodity.
Further, the preset back-off condition is as follows:
and if the rate of the product type commodities to be returned reaches the preset range in the various product types of commodities with the sales volume reaching the preset value within the preset time, the preset condition of returning is met.
Further, the method for analyzing the comment content of the user comment data of the target commodity comprises the following steps:
comment grade screening is carried out on all user comment data of the target commodity to obtain comment information below a preset grade;
and performing natural language analysis on the comment information below the preset level to extract key defects of the target product, determining the severity of the defects according to the repetition rate of the key defects in all the comment information below the preset level, and generating a corresponding defect report on the key defects and the severity of the key defects of the target product obtained through analysis.
Further, the method for analyzing the comment content of the user comment data of the target commodity comprises the following steps:
directly carrying out character emotion analysis on all user comment data of the target commodity to extract comment information containing derogatory emotional tendency;
and performing natural language analysis again on the comment information containing the derogatory sentences to extract key defects of the target product type commodities, determining the severity of the defects according to the repetition rate of the key defects in all the comment information containing the derogatory sentences, and generating corresponding defect reports on the key defects and the severity of the target product type commodities obtained through analysis.
Further, after the user comment data corresponding to each category of commodity is acquired, the method further includes:
and preliminarily screening the user comment data of each commodity, comparing the user comment data with a preset forbidden word bank, and filtering comment information containing forbidden word groups.
Further, when generating the defect report of the target product, the method further comprises the following steps:
calling a historical case corresponding to the key defect from a business database according to the key defect of the target commodity to generate an optimization measure of the target commodity;
setting corresponding priority levels for the generated optimization measures according to the severity of the key defects;
and sequentially pushing a defect report of the target commodity and an optimization measure corresponding to the target commodity to the appointed terminal according to the priority order.
The second purpose of the invention is realized by adopting the following technical scheme:
a commodity data analysis system based on user comments, which executes the above commodity data analysis method based on user comments, comprises:
the data acquisition module is used for acquiring sales data and user comment data corresponding to various commodities and correlating the sales data and the user comment data of the same commodity;
the information screening module is used for screening the sales data of the commodities of all categories to obtain target commodities of which the preset refund conditions are met, and calling user comment data related to the target commodities of the categories;
and the comment analysis module is used for carrying out comment content analysis on the user comment data of the target commodity, and pushing and displaying the defect report of the target commodity generated according to the analysis result.
The third purpose of the invention is realized by adopting the following technical scheme:
an electronic device comprises a processor, a memory and a computer program stored on the memory and capable of running on the processor, wherein the processor implements the commodity data analysis method based on user comments when executing the computer program.
The fourth purpose of the invention is realized by adopting the following technical scheme:
a storage medium having stored thereon a computer program which, when executed, implements the above-described user comment-based commodity data analysis method.
Compared with the prior art, the invention has the beneficial effects that:
(1) the method and the system can integrate and integrate the comment data of the product in batches and comprehensively, mine the reason of goods returned by the user according to the comment data, analyze the defects of the goods according to the reason of goods returned, and enable the merchant to know the product problem from the real use experience of the user, thereby providing an efficient solution, being beneficial to the optimization of the product, providing a data base for the production and marketing strategies of the merchant and improving the data analysis efficiency of the e-commerce.
(2) The invention analyzes the real meaning of the comment content of the user by combining the emotion analysis technology and the natural language analysis technology, and can improve the accuracy of product defect analysis.
Drawings
FIG. 1 is a schematic flow chart of a commodity data analysis method based on user comments according to the present invention;
FIG. 2 is a data analysis flow chart of the commodity data analysis method based on user comments according to the present invention;
FIG. 3 is a block diagram of a commodity data analysis system based on user comments according to the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.
Example one
The embodiment provides a commodity data analysis method based on user comments, the commodity data analysis method of the embodiment can be used for mining the real ideas of all users on the comment information of the users, comprehensively analyzing the defects of commodities based on user experience, providing corresponding solving measures and providing reliable data sources for production and marketing strategies of merchants.
Referring to fig. 1 and 2, the commodity data analysis method of the present embodiment includes the following steps:
step S1: acquiring sales data and user comment data corresponding to various commodities, and associating the sales data and the user comment data of the same commodity;
step S2: screening sales data of various commodities to obtain target commodities of the class meeting preset refund conditions, and calling user comment data associated with the target commodities of the class;
step S3: and analyzing the comment content of the user comment data of the target commodity, and pushing and displaying a defect report of the target commodity generated according to the analysis result.
The embodiment can crawl sales data and user comment data generated by selling specified products of a specified enterprise on the E-commerce platform from the beginning of business sale to the present through a crawler program under the authorization of the E-commerce platform, wherein the sales data comprises sales volume of sold goods, sales time, quantity of returned/refunded/exchanged goods, time of returned goods and the like; the user comment data is data for a user to comment on a certain commodity in a text, picture or video mode, and therefore each piece of comment information contained in the user comment data corresponds to information of the commodity.
In this embodiment, each commodity has a unique identifier corresponding thereto, and the unique identifier is a unique code which is generated according to commodity information of the commodity and can be used for identifying the identity of the commodity; in the obtained crawling sales data and user comment data, because the data are related to the commodity, each piece of sales data and each piece of user comment data contain the unique identifier of the commodity, and in the embodiment, the commodity ID is used as the unique identifier, and the sales data and the user comment data with the same unique identifier are bound and associated.
According to the commodity screening method and device, after the sales data and the user comment data corresponding to various categories are crawled, commodities can be further screened according to requirements, data are analyzed after screening, the data analysis amount can be reduced, and therefore the data analysis result is improved. Specifically, in this embodiment, after crawling to obtain data, text comparison is performed on the user comment data and a preset forbidden word library, and if any piece of comment information of the user comment data has a word or a sentence in the forbidden word library, the comment information including a forbidden word group is filtered, and the comment information is no longer used as a basis for product defect analysis; if the words or sentences in the forbidden word library do not exist, whether the text content recorded in the comment information is related to the commodity or not can be analyzed, and if the text recorded in the comment information does not refer to the words related to the commodity, the comment information can be filtered out. Meanwhile, the comment information of the same commodity can be compared in a text mode, if the word similarity of a plurality of pieces of comment information of the same commodity reaches a preset value, all comment information with high similarity can be filtered, and interference of useless comments on product analysis is reduced.
Because the problems of the commodities can be reflected most in the return transaction process, the user comment data can be continuously analyzed for the user comment information of the categories of the commodities returned, refunded or exchanged by the e-commerce within the specified time after being primarily screened, so that the defects and the problems of the commodities can be found.
Specifically, in this embodiment, the sales data of each commodity is screened to obtain a target commodity meeting a preset refund condition, where the preset refund condition is:
and if the rate of the change back of the commodity type commodities reaches a preset range in the commodities with the sales volume reaching the preset value within the preset time, the preset condition of the change back is met, and the single commodity or the commodity type meeting the change back condition is marked as the target commodity type. The preset time, the preset value and the preset range of the back-off rate can be preset according to the needs of merchants; the longer the time is, the more data amount obtained by crawling is, and the data analysis amount is correspondingly increased; the shorter the time, the smaller the amount of data analysis, but the accuracy of the analysis results is also reduced. In the embodiment, the sales volume and the return rate of the commodity are limited, the hot-sold commodity with relatively high return rate can be subjected to priority analysis, the reason for returning the commodity of the hot-sold product of the enterprise is mined, the data support for improving the product defect is provided for the production department, and the data support for market decision is provided for the sales department, so that the time duration competitiveness of the hot-sold product is improved.
In the embodiment, after the target commodity meeting the preset refund condition is screened out, the user comment data corresponding to the target commodity is found according to the unique identifier of the target commodity, and the comment content analysis is performed on the user comment data of the target commodity so as to obtain the defects and problems of the target commodity.
Because the user can grade the comments when the user comments the commodity in the existing E-commerce platform, namely the grades of good comment, medium comment and poor comment, or the user can grade the commodity by star grade from one star to five stars when the user comments, the lower the star grade, the lower the comment grade; therefore, when the user comment data are analyzed, comment grade screening can be performed on all the user comment data of the target product in advance to obtain comment information below a preset grade; for example, comment information of good comment or five-star grade is filtered, and comment information of medium comment, bad comment or one-star or two-star is left; and then natural language analysis is carried out on the comment information below the preset grade to extract the key defects of the target commodity.
In the process of natural language analysis, sentences or paragraphs containing derogative emotional words in the comment information are extracted, word segmentation and part-of-speech screening are carried out on the sentences or paragraphs, phrases which have derogative meanings or are related to products in terms of functions, appearance, usage, quality and the like are marked as target words, and the target words are the key defects of the target commodity. Then, similar word expansion is carried out on the target words marked as the key defects, the target words and similar words are used as screening objects, comment information containing the target words and similar words is screened out from comment information below all preset levels, the repetition rate of the target words and similar words is determined according to the number of the screened comment information, the higher the repetition rate is, the higher the severity of the key defects is, the higher the severity is, the corresponding defect reports generated by the key defects and the severity of the key defects of the target commodity obtained through analysis can be pushed to a specified terminal.
In addition, part of the e-commerce platforms may not have a comment level rating function, so the embodiment may further perform comment content analysis on the user comment data of the target item type commodity based on the following method:
directly carrying out character emotion analysis on all user comment data of the target commodity to extract comment information containing derogatory emotional tendency, and filtering the comment information not containing derogatory emotional tendency;
and then, natural language analysis is performed again on the comment information containing the derogatory sentences to extract key defects of the target product type commodity, the severity of the defects is determined according to the repetition rate of the key defects in all the comment information containing the derogatory sentences, and corresponding defect reports are generated for the key defects and the severity of the target product type commodity obtained through analysis. The method for analyzing the critical defects is the same as the method described above, and will not be described in detail.
In this embodiment, after the key defects and the severity of the key defects of the target commodity are obtained, the historical cases corresponding to the key defects are called from the business database according to the key defects of the target commodity, so as to generate optimization measures of the target commodity; the service database records the cases processed in the past, historical countermeasures corresponding to different defective products can be obtained according to the historical cases, the historical cases can be referred to perform optimal product optimization operation when a defect report is generated, and the optimization measures can also be recorded in the defect report together for pushing. Meanwhile, when the target commodity has a plurality of key defects, the corresponding priority level can be set for the generated optimization measures according to the severity of each key defect, the severity is high, the priority level is also high, namely, the defect report of the target commodity and the optimization measures corresponding to the target commodity can be sequentially pushed to the appointed terminal according to the priority level sequence, and the commodities with high priority levels are processed preferentially.
In the embodiment, the key defects and the severity of the key defects existing in the target commodity, and information such as optimization measures and data analysis sources of the target commodity are quantified and then presented in the defect report in a visual image mode, so that the defect report pushed to the specified terminal is convenient for merchants to look up.
Example two
The present embodiment provides a commodity data analysis system based on user comments, which executes the commodity data analysis method based on user comments in the first embodiment, as shown in fig. 3, the system includes:
the data acquisition module is used for acquiring sales data and user comment data corresponding to various commodities and correlating the sales data and the user comment data of the same commodity;
the information screening module is used for screening the sales data of the commodities of all categories to obtain target commodities of which the preset refund conditions are met, and calling user comment data related to the target commodities of the categories;
and the comment analysis module is used for carrying out comment content analysis on the user comment data of the target commodity, and pushing and displaying the defect report of the target commodity generated according to the analysis result.
In addition, the present embodiment provides an electronic device, which includes a processor, a memory, and a computer program stored in the memory and being executable on the processor, where the processor implements the commodity data analysis method based on user comments in the first embodiment when executing the computer program; the present embodiment also provides a storage medium on which a computer program is stored, the computer program, when executed, implementing the above-described commodity data analysis method based on user comments.
The system, the device and the storage medium in this embodiment are based on two aspects of the same inventive concept, and the method implementation process has been described in detail in the foregoing, so that those skilled in the art can clearly understand the structure and implementation process of the system, the device and the storage medium in this embodiment according to the foregoing description, and for the sake of brevity of the description, no further description is provided here.
The above embodiments are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby, and any insubstantial changes and substitutions made by those skilled in the art based on the present invention are within the protection scope of the present invention.
Claims (10)
1. A commodity data analysis method based on user comments is characterized by comprising the following steps:
acquiring sales data and user comment data corresponding to various commodities, and associating the sales data and the user comment data of the same commodity;
screening sales data of various commodities to obtain target commodities of the class meeting preset refund conditions, and calling user comment data associated with the target commodities of the class;
and analyzing the comment content of the user comment data of the target commodity, and pushing and displaying a defect report of the target commodity, which is generated according to the analysis result.
2. The method for analyzing commodity data based on user comments, according to claim 1, wherein the method for associating the sales data of the same commodity and the user comment data thereof is:
generating a unique identifier corresponding to a commodity in advance according to commodity information of the commodity;
and associating the sales data and the user comment data with the same unique identification of the commodity.
3. The user comment-based commodity data analysis method according to claim 1, wherein the preset fallback conditions are:
and if the rate of the product type commodities to be returned reaches the preset range in the various product types of commodities with the sales volume reaching the preset value within the preset time, the preset condition of returning is met.
4. The method for analyzing commodity data based on user comments, according to claim 1, wherein the method for analyzing the comment content of the user comment data of the target commodity is as follows:
comment grade screening is carried out on all user comment data of the target commodity to obtain comment information below a preset grade;
and performing natural language analysis on the comment information below a preset level to extract key defects of the target product, determining the severity of the defects according to the repetition rate of the key defects in all the comment information below the preset level, and generating a corresponding defect report on the key defects and the severity of the key defects of the target product obtained through analysis.
5. The method for analyzing commodity data based on user comments, according to claim 1, wherein the method for analyzing the comment content of the user comment data of the target commodity is as follows:
directly carrying out character emotion analysis on all user comment data of the target commodity to extract comment information containing derogatory emotional tendency;
and performing natural language analysis again on the comment information containing the derogatory sentences to extract the key defects of the target product type commodity, determining the severity of the defects according to the repetition rate of the key defects in all the comment information containing the derogatory sentences, and generating a corresponding defect report for the key defects and the severity of the defects of the target product type commodity obtained through analysis.
6. The method for analyzing commodity data based on user comments according to claim 1, further comprising, after obtaining the user comment data corresponding to each commodity category:
and preliminarily screening the user comment data of each commodity, comparing the user comment data with a preset forbidden word bank, and filtering comment information containing forbidden word groups.
7. The method for analyzing commodity data based on user comments, as claimed in claim 1, further comprising, when generating a defect report of a target commodity, the steps of:
calling a historical case corresponding to the key defect from a business database according to the key defect of the target commodity to generate an optimization measure of the target commodity;
setting corresponding priority levels for the generated optimization measures according to the severity of the key defects;
and sequentially pushing a defect report of the target commodity and an optimization measure corresponding to the target commodity to the appointed terminal according to the priority order.
8. A commodity data analysis system based on user comments, which is characterized by executing the commodity data analysis method based on user comments according to any one of claims 1 to 7, and the system comprises:
the data acquisition module is used for acquiring sales data and user comment data corresponding to various commodities and correlating the sales data and the user comment data of the same commodity;
the information screening module is used for screening the sales data of the commodities of all categories to obtain target commodities of which the preset refund conditions are met, and calling user comment data related to the target commodities of the categories;
and the comment analysis module is used for carrying out comment content analysis on the user comment data of the target commodity, and pushing and displaying the defect report of the target commodity generated according to the analysis result.
9. An electronic device, comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method for analyzing commodity data based on user comments according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed, implements the user comment based commodity data analysis method of any one of claims 1 to 7.
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