CN112818247B - Method for analyzing product heat according to keywords - Google Patents
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Abstract
The invention relates to a method for analyzing product heat according to keywords, which comprises the steps of inputting preset product names into a product word stock, inputting preset keywords into the keyword stock, wherein the keywords comprise the preset product names; sequentially searching keywords in each application store at regular time to obtain a product ranking list and storing the product ranking list in a database; obtaining a product ranking list corresponding to keywords to be analyzed, classifying and displaying the product ranking list according to each application store to generate a keyword ranking statistical table, and marking the product names in the keyword ranking statistical table as a first preset color if the product names in the keyword ranking statistical table exist in a product word stock; and obtaining the product names to be analyzed, analyzing each product ranking list to obtain keywords which can be searched for the product names from a keyword library, classifying all the keywords according to each application store to generate a keyword coverage statistical table, and marking the keywords existing in the product word library as a second preset color.
Description
Technical Field
The invention relates to the field of computer software, in particular to a method for analyzing product heat according to keywords.
Background
Currently, for a company with multiple application products, keyword market ranking of each product of the company needs to be manually conducted to open each application store and input each keyword for observation, then ranking conditions of the application products of the company are manually recorded, the ranking conditions of the application products of the company need to be compared with the previously recorded ranking conditions every day, data of the ranking conditions of the application products cannot be supplemented once the ranking conditions of the application products are not tracked every day, market strategies cannot be timely and pertinently made, time and effort are consumed, keywords can be easily omitted for searching, and timeliness and continuity of data monitoring cannot be effectively guaranteed. In addition, the ranking of application products of the search keywords can only be seen in the application store, and the search of certain keywords can not be counted, so that the heat of the concerned products in the market can not be visually seen, a self-wanted statistical report can not be formed, manual calculation is needed, tools are used for drawing a chart, and the requirement on the ability of using the tools by staff is high.
Disclosure of Invention
First, the technical problem to be solved
In order to solve the problems in the prior art, the invention provides a method for analyzing the heat of a product according to keywords, which can conveniently know the heat condition of the application product in an application store.
(II) technical scheme
In order to achieve the above purpose, the invention adopts the following technical scheme: 1. a method of analyzing product heat according to keywords, comprising:
s1, inputting a preset product name into a product word stock, and inputting a preset keyword into the keyword stock, wherein the keyword is the name of each application product, and comprises the preset product name;
s2, sequentially searching the keywords in each application store at regular time to obtain a product ranking list, and storing the product ranking list in a database;
s3, acquiring the product ranking list corresponding to the keywords to be analyzed from the database, classifying and displaying the product ranking list according to each application store to generate a keyword ranking statistical table, and marking the product names in the keyword ranking statistical table as a first preset color if the product names in the keyword ranking statistical table exist in the product word stock;
and obtaining product names to be analyzed from a product word stock, analyzing each product ranking list, obtaining keywords which can be searched for the product names from the keyword stock, classifying all the keywords according to each application store to generate a keyword coverage statistical table, and marking the keywords existing in the product word stock as a second preset color.
(III) beneficial effects
The beneficial effects of the invention are as follows: the keywords are input into the keyword library, the preset keywords are sequentially used at regular time to obtain the product ranking list of the keywords in each application store, the condition that the keywords are not searched can be avoided, the integrity of the obtained product ranking list is ensured, and the timeliness and the continuity of the obtained data are ensured by regularly obtaining the product ranking list. And then, the ranking list of the keywords to be analyzed in each application store can be classified and displayed and integrated into a keyword ranking statistical table, and the product names which are the same as those in the product word stock in the keyword ranking statistical table can be marked with a first preset color, so that a user can intuitively know the heat condition of the names of the application products (the product names in the product word stock) focused by the user in each application market under the keyword search. In addition, the keyword condition of covering the names of the application products (the product names in the product word stock) focused by the users can be obtained through analyzing the ranking list of each product, the keyword coverage statistical table is formed through integration, keywords, which are the same as the product names in the product word stock, in the keyword coverage statistical table can be marked with a second preset color, and the users can conveniently know the interrelated condition of the names of the application products focused by the users (the product names in the product word stock) in the searching process in the application store. Therefore, the invention can automatically generate the keyword ranking statistical table and the keyword coverage statistical table without the need of staff to process and map the product ranking table, thereby saving manpower, being capable of intuitively knowing the heat condition of the application product concerned by the user and being convenient for the user to use.
Drawings
FIG. 1 is a flow chart of a method of analyzing product heat according to keywords in accordance with the present invention;
FIG. 2 is a schematic diagram of the usage of a keyword ranking statistics table of a method of analyzing product popularity according to the present invention;
FIG. 3 is a schematic diagram showing the usage of a keyword coverage statistics table according to the method of the present invention.
Detailed Description
The invention will be better explained by the following detailed description of the embodiments with reference to the drawings.
Referring to fig. 1, a method for analyzing product heat according to keywords includes:
s1, inputting a preset product name into a product word stock, and inputting a preset keyword into the keyword stock, wherein the keyword is the name of each application product, and comprises the preset product name;
s2, sequentially searching the keywords in each application store at regular time to obtain a product ranking list, and storing the product ranking list in a database;
s3, acquiring the product ranking list corresponding to the keywords to be analyzed from the database, classifying and displaying the product ranking list according to each application store to generate a keyword ranking statistical table, and marking the product names in the keyword ranking statistical table as a first preset color if the product names in the keyword ranking statistical table exist in the product word stock;
and obtaining product names to be analyzed from a product word stock, analyzing each product ranking list, obtaining keywords which can be searched for the product names from the keyword stock, classifying all the keywords according to each application store to generate a keyword coverage statistical table, and marking the keywords existing in the product word stock as a second preset color.
From the above description, the beneficial effects of the invention are as follows: the keywords are input into the keyword library, the preset keywords are sequentially used at regular time to obtain the product ranking list of the keywords in each application store, the condition that the keywords are not searched can be avoided, the integrity of the obtained product ranking list is ensured, and the timeliness and the continuity of the obtained data are ensured by regularly obtaining the product ranking list. And then, the ranking list of the keywords to be analyzed in each application store can be classified and displayed and integrated into a keyword ranking statistical table, and the product names which are the same as those in the product word stock in the keyword ranking statistical table can be marked with a first preset color, so that a user can intuitively know the heat condition of the names of the application products (the product names in the product word stock) focused by the user in each application market under the keyword search. In addition, the keyword condition of covering the names of the application products (the product names in the product word stock) focused by the users can be obtained through analyzing the ranking list of each product, the keyword coverage statistical table is formed through integration, keywords, which are the same as the product names in the product word stock, in the keyword coverage statistical table can be marked with a second preset color, and the users can conveniently know the interrelated condition of the names of the application products focused by the users (the product names in the product word stock) in the searching process in the application store. Therefore, the invention can automatically generate the keyword ranking statistical table and the keyword coverage statistical table without the need of staff to process and map the product ranking table, thereby saving manpower, being capable of intuitively knowing the heat condition of the application product concerned by the user and being convenient for the user to use.
Further, if the product name in the keyword ranking statistical table exists in the product word stock, marking the product name in the keyword ranking statistical table as the first preset color includes:
acquiring a keyword ranking statistical table generated last time, and sequentially comparing the ranks of the same product names existing in the product word stock in the keyword ranking statistical table of this time with the ranks of the same product names existing in the product word stock of last time to obtain a lifting result;
if the lifting result is ranking rising, marking the name of the product with the ranking rising in the keyword ranking statistical table as a first preset color A;
if the lifting result is descending ranking, marking the descending ranking product name in the keyword ranking statistical table as a first preset color B;
if the lifting result is that the ranking is unchanged, marking the product name with unchanged ranking in the keyword ranking statistical table as a first preset color C.
From the above description, the ranking change condition of the product (the product name in the product word stock) concerned by the user can be intuitively known through comparison with the keyword ranking statistical table generated last time and different color labels.
Further, if the product name in the keyword ranking statistical table exists in the product word stock, marking the product name in the keyword ranking statistical table as the first preset color further includes:
and acquiring a keyword ranking statistical table generated last time, sequentially comparing the ranks of the product names existing in the product word stock in the keyword ranking statistical table of this time with the ranks of the product names existing in the product word stock in the last time to obtain a difference value, and marking the difference value at the tail end of the product names existing in the product word stock in the keyword ranking statistical table of this time.
From the above description, the difference value can be obtained by comparing with the keyword ranking statistical table generated last time and marked, so that the user can conveniently know the specific ranking change condition of the product (the product name in the product word stock) focused by the user.
Further, the obtaining the product name to be analyzed from the product word stock, obtaining keywords from the keyword stock, wherein the keywords can be searched for the product name, classifying all the keywords according to each application store to generate a keyword coverage statistical table, and marking the keywords existing in the product word stock as a second preset color comprises:
obtaining product names to be analyzed from a product word stock, obtaining keywords which can be searched for the product names from a keyword stock, and classifying all the keywords according to each application store to generate a keyword coverage statistical table;
if the keyword in the keyword coverage statistical table is the same as the name of the product to be analyzed, marking the keyword as a second preset color A;
and if the keyword in the keyword coverage statistical table is different from the product name to be analyzed and exists in the product word stock, marking the keyword as a second preset color B.
From the above description, the keywords which exist in the product word stock and are the same as or different from the name of the product to be analyzed are identified through different colors, so that the user can conveniently check and analyze the keywords.
Further, the step S2 further includes:
and obtaining a product ranking list obtained according to the keyword search, obtaining ranking grades of the product names to be analyzed in the product ranking list, and marking the ranking grades at the tail of the keywords in the keyword coverage statistical table.
From the above description, the ranking names of the keywords in the keyword coverage statistical table in the ranking list of each product can be marked, so that the ranking situation of the application product in each application store under the keyword search can be conveniently known, and the heat situation of the application product can be further conveniently analyzed.
Example 1
Referring to fig. 1, a method for analyzing product heat according to keywords includes:
s1, inputting a preset product name into a product word stock, and inputting a preset keyword into the keyword stock, wherein the keyword is the name of each application product, and comprises the preset product name;
s2, sequentially searching the keywords in each application store at regular time to obtain a product ranking list, and storing the product ranking list in a database;
s3, acquiring the product ranking list corresponding to the keywords to be analyzed from the database, classifying and displaying the product ranking list according to each application store to generate a keyword ranking statistical table, and marking the product names in the keyword ranking statistical table as a first preset color if the product names in the keyword ranking statistical table exist in the product word stock;
and obtaining product names to be analyzed from a product word stock, analyzing each product ranking list, obtaining keywords which can be searched for the product names from the keyword stock, classifying all the keywords according to each application store to generate a keyword coverage statistical table, and marking the keywords existing in the product word stock as a second preset color.
Specifically, in the process of sequentially searching in each application store by using keywords to obtain a product ranking list, searching is firstly performed in the application store of a mobile terminal (such as a mobile phone, a tablet and the like), if the product ranking list cannot be obtained through a corresponding interface of the mobile terminal, the product ranking list is obtained in the application store of a PC terminal, and if the application store does not have a corresponding product of the PC terminal, the product ranking list is obtained in other third-party statistical platforms (such as a seven-wheat data mobile popularization data analysis platform).
Specifically, the step of searching the keywords in each application store sequentially at regular time in S2 to obtain a product ranking list includes: and searching the keywords in each application store at fixed time points every day in sequence to obtain a product ranking list.
Specifically, the step S3 of analyzing each product ranking list, and the step of obtaining keywords from a keyword library, wherein the keywords can be searched for the product names, includes: and analyzing each product ranking list, acquiring keywords which can be searched for the product names from a keyword library, and if no matched keywords exist, not processing.
Wherein, if the product name in the keyword ranking statistical table exists in the product word stock, marking the product name in the keyword ranking statistical table as the first preset color includes:
acquiring a keyword ranking statistical table generated last time, and sequentially comparing the ranks of the same product names existing in the product word stock in the keyword ranking statistical table of this time with the ranks of the same product names existing in the product word stock of last time to obtain a lifting result;
if the lifting result is ranking rising, marking the name of the product with the ranking rising in the keyword ranking statistical table as a first preset color A;
if the lifting result is descending ranking, marking the descending ranking product name in the keyword ranking statistical table as a first preset color B;
if the lifting result is that the ranking is unchanged, marking the product name with unchanged ranking in the keyword ranking statistical table as a first preset color C.
As shown in fig. 2, if the product name in the keyword ranking statistical table exists in the product word stock, the marking the product name in the keyword ranking statistical table as the first preset color further includes:
and acquiring a keyword ranking statistical table generated last time, sequentially comparing the ranks of the product names existing in the product word stock in the keyword ranking statistical table of this time with the ranks of the product names existing in the product word stock in the last time to obtain a difference value, and marking the difference value at the tail end of the product names existing in the product word stock in the keyword ranking statistical table of this time.
The step of obtaining the product names to be analyzed from the product word stock, obtaining keywords which can be searched for the product names from the keyword stock, classifying all the keywords according to each application store to generate a keyword coverage statistical table, and marking the keywords existing in the product word stock as a second preset color comprises the following steps:
obtaining product names to be analyzed from a product word stock, obtaining keywords which can be searched for the product names from a keyword stock, and classifying all the keywords according to each application store to generate a keyword coverage statistical table;
if the keyword in the keyword coverage statistical table is the same as the name of the product to be analyzed, marking the keyword as a second preset color A;
and if the keyword in the keyword coverage statistical table is different from the product name to be analyzed and exists in the product word stock, marking the keyword as a second preset color B.
As shown in fig. 3, the step S2 further includes:
and obtaining a product ranking list obtained according to the keyword search, obtaining ranking grades of the product names to be analyzed in the product ranking list, and marking the ranking grades at the tail of the keywords in the keyword coverage statistical table.
In summary, according to the method for analyzing the product popularity according to the keywords, the keywords are input into the keyword library, the preset keywords are sequentially used at regular time to obtain the product ranking list of the keywords in each application store, the condition that the keywords are not searched can be avoided, the integrity of the obtained product ranking list is ensured, and the timeliness and the continuity of obtaining data are ensured by regularly obtaining the product ranking list. And then, the ranking list of the keywords to be analyzed in each application store can be classified and displayed and integrated into a keyword ranking statistical table, and the product names which are the same as those in the product word stock in the keyword ranking statistical table can be marked with a first preset color, so that a user can intuitively know the heat condition of the names of the application products (the product names in the product word stock) focused by the user in each application market under the keyword search. In addition, the keyword condition of covering the names of the application products (the product names in the product word stock) focused by the users can be obtained through analyzing the ranking list of each product, the keyword coverage statistical table is formed through integration, keywords, which are the same as the product names in the product word stock, in the keyword coverage statistical table can be marked with a second preset color, and the users can conveniently know the interrelated condition of the names of the application products focused by the users (the product names in the product word stock) in the searching process in the application store. Therefore, the invention can automatically generate the keyword ranking statistical table and the keyword coverage statistical table without the need of staff to process and map the product ranking table, thereby saving manpower, being capable of intuitively knowing the heat condition of the application product concerned by the user and being convenient for the user to use.
The foregoing description is only illustrative of the present invention and is not intended to limit the scope of the invention, and all equivalent changes made by the specification and drawings of the present invention, or direct or indirect application in the relevant art, are included in the scope of the present invention.
Claims (4)
1. A method for analyzing product heat according to keywords, comprising:
s1, inputting a preset product name into a product word stock, and inputting a preset keyword into the keyword stock, wherein the keyword is the name of each application product, and comprises the preset product name;
s2, sequentially searching the keywords in each application store at regular time to obtain a product ranking list, and storing the product ranking list in a database;
s3, acquiring the product ranking list corresponding to the keywords to be analyzed from the database, classifying and displaying the product ranking list according to each application store to generate a keyword ranking statistical table, and marking the product names in the keyword ranking statistical table as a first preset color if the product names in the keyword ranking statistical table exist in the product word stock;
obtaining product names to be analyzed from a product word stock, analyzing each product ranking list, obtaining keywords which can search the product names from the keyword stock, classifying all the keywords according to each application store to generate a keyword coverage statistical table, and marking the keywords existing in the product word stock as a second preset color, wherein the method comprises the following steps:
obtaining product names to be analyzed from a product word stock, obtaining keywords which can be searched for the product names from a keyword stock, and classifying all the keywords according to each application store to generate a keyword coverage statistical table;
if the keyword in the keyword coverage statistical table is the same as the name of the product to be analyzed, marking the keyword as a second preset color A;
and if the keyword in the keyword coverage statistical table is different from the product name to be analyzed and exists in the product word stock, marking the keyword as a second preset color B.
2. The method according to claim 1, wherein marking the product name in the keyword ranking statistical table as a first preset color if the product name in the keyword ranking statistical table exists in the product word stock comprises:
acquiring a keyword ranking statistical table generated last time, and sequentially comparing the ranks of the same product names existing in the product word stock in the keyword ranking statistical table of this time with the ranks of the same product names existing in the product word stock of last time to obtain a lifting result;
if the lifting result is ranking rising, marking the name of the product with the ranking rising in the keyword ranking statistical table as a first preset color A;
if the lifting result is descending ranking, marking the descending ranking product name in the keyword ranking statistical table as a first preset color B;
if the lifting result is that the ranking is unchanged, marking the product name with unchanged ranking in the keyword ranking statistical table as a first preset color C.
3. The method according to claim 1, wherein if the product name in the keyword ranking statistical table exists in the product word stock, the marking the product name in the keyword ranking statistical table as the first preset color further comprises:
and acquiring a keyword ranking statistical table generated last time, sequentially comparing the ranks of the product names existing in the product word stock in the keyword ranking statistical table of this time with the ranks of the product names existing in the product word stock in the last time to obtain a difference value, and marking the difference value at the tail end of the product names existing in the product word stock in the keyword ranking statistical table of this time.
4. The method of claim 1, wherein S2 further comprises:
and obtaining a product ranking list obtained according to the keyword search, obtaining ranking grades of the product names to be analyzed in the product ranking list, and marking the ranking grades at the tail of the keywords in the keyword coverage statistical table.
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