CN111310466A - Keyword library-based specific dimension scenic spot satisfaction measuring method and system - Google Patents

Keyword library-based specific dimension scenic spot satisfaction measuring method and system Download PDF

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CN111310466A
CN111310466A CN202010118525.0A CN202010118525A CN111310466A CN 111310466 A CN111310466 A CN 111310466A CN 202010118525 A CN202010118525 A CN 202010118525A CN 111310466 A CN111310466 A CN 111310466A
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刘玉堂
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Shandong ICity Information Technology Co., Ltd.
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Abstract

The invention discloses a method and a system for measuring satisfaction degree of a specific dimension scenic spot based on a keyword library, belonging to the field of data analysis, aiming at solving the technical problems of how to help tourism management departments and scenic spot management personnel to realize multi-dimension analysis of tourist comments, analyzing the scenic spot in a targeted manner and boosting the management level, and adopting the technical scheme that: the method comprises the steps of establishing a specific keyword library under each dimension, carrying out assignment on the emotional level of each keyword, and carrying out association matching with tourist evaluation characters of a scenic spot to obtain the satisfaction scores and the evaluation tendencies of tourists under different dimensions so as to measure the satisfaction condition of the scenic spot in the dimension; the method comprises the following specific steps: s1, data acquisition: collecting comment details of tourists corresponding to scenic spots in the OTA platform; s2, creating a keyword library: establishing a keyword library which is related to the dimension and has obvious evaluation meaning; s3, determining the score of the keyword; and S4, matching calculation.

Description

Keyword library-based specific dimension scenic spot satisfaction measuring method and system
Technical Field
The invention relates to the field of data analysis, in particular to a method and a system for measuring the satisfaction degree of scenic spots in specific dimensions based on a keyword library.
Background
When tourists evaluate scenic spots on an online tourism platform, only one overall score is provided, and the evaluation of all aspects and all dimensions of the scenic spots is rarely provided. From the perspective of a scenic spot manager, the overall evaluation of the scenic spot is easy to obtain, but the actual complaining points of the tourists cannot be clearly known, the problems cannot be accurately located, the experience is not favorably summarized, and the scenic spot management is improved. Therefore, how to help tourism management departments and scenic spot management personnel to realize multidimensional analysis of tourist comments can be used for analyzing scenic spots in a targeted manner, and the assistance of improving the management level is a problem to be solved urgently at present.
Disclosure of Invention
The technical task of the invention is to provide a method and a system for measuring the satisfaction degree of a scenic spot with a specific dimension based on a keyword library, so as to solve the problems of how to help tourism management departments and scenic spot management personnel to realize multi-dimensional analysis of tourist comments, and the problems that scenic spots can be analyzed in a targeted manner, and the management level is improved.
The technical task of the invention is realized according to the following mode, a method for measuring the satisfaction degree of a scenic spot with specific dimensionality based on a keyword library is realized by establishing the specific keyword library under each dimensionality, carrying out assignment on the emotion level of each keyword, and then carrying out association matching with the evaluation characters of tourists in the scenic spot to obtain the satisfaction degree scores and the evaluation tendencies of the tourists under different dimensionalities so as to measure the satisfaction degree condition of the scenic spot in the dimensionality; the method comprises the following specific steps:
s1, data acquisition: collecting comment details of tourists corresponding to scenic spots in an OTA (on-line tourism) platform; the more comprehensive the acquisition platform is, the more data amount is, and the better the support performance of the method is;
s2, creating a keyword library: establishing a keyword library which is related to the dimension and has obvious evaluation meaning;
s3, determining the score of the keyword: determining the evaluation direction and the corresponding score of each keyword according to the emotional color of each keyword;
s4, matching calculation: the keyword library is associated and matched with the comment details of the scenic spot, and the occurrence frequency n of each keyword in the comment is calculatedkAnd is summed with the score skWeighted average, calculating the scene area in that dimensionGuest satisfaction score:
Figure BDA0002392234010000011
wherein m is the number of keywords in the quality of service keyword library.
Preferably, the dimensions include quality of service, management, consumption, and traffic.
Preferably, the keyword library in step S2 is obtained from the collected details of the comments of the tourists by a keyword screening technique; the more the number of the keywords in the word stock is, the more accurate the output result is; the more comprehensive the keywords of the lexicon, the better the application extensibility of the lexicon.
Preferably, after the occurrence frequency of each keyword in the comment is calculated in step S4, the evaluation tendency of the tourist in the dimension of the scenic spot is calculated as follows:
(1) evaluation of the positive proportion:
Figure BDA0002392234010000021
(2) evaluation of neutral ratio:
Figure BDA0002392234010000022
(3) evaluation of negative proportion:
Figure BDA0002392234010000023
the tourist satisfaction score of the scenic spot in the dimensionality serves as a main parameter for measuring scenic spot services, and the tourist evaluation tendency proportion serves as a supplement.
A satisfaction measuring system for scenic region with specific dimension based on keyword library comprises,
the data acquisition module is used for acquiring the comment details of the tourists corresponding to the scenic spot in the OTA (on-line tourism) platform; the more comprehensive the acquisition platform is, the more data amount is, and the better the support performance of the method is;
a keyword library creating module for creating a keyword library which is related to the dimension and has obvious evaluation meaning;
the keyword score determining module is used for determining the evaluation direction and the corresponding score of each keyword according to the emotional color of each keyword;
and the matching calculation module is used for correlating and matching the keyword library with the comment details of the scenic spot.
Preferably, the matching calculation module includes,
the satisfaction degree value calculation operator module is used for calculating the satisfaction degree value of the tourists in the scenic spot under the dimensionality; the method comprises the following specific steps:
calculating the occurrence frequency n of each keyword in the commentskAnd is summed with the score skAnd (3) weighted average, calculating the tourist satisfaction score of the scenic spot under the dimension:
Figure BDA0002392234010000024
wherein m is the number of keywords in the service quality keyword library;
the tourist evaluation tendency calculation submodule is used for calculating the tourist evaluation tendency; the method comprises the following specific steps:
(1) evaluation of the positive proportion:
Figure BDA0002392234010000031
(2) evaluation of neutral ratio:
Figure BDA0002392234010000032
(3) evaluation of negative proportion:
Figure BDA0002392234010000033
the tourist satisfaction score of the scenic spot in the dimensionality serves as a main parameter for measuring scenic spot services, and the tourist evaluation tendency proportion serves as a supplement.
Preferably, the dimensions include quality of service, management, consumption, and traffic.
Preferably, the keyword library is obtained from the collected visitor comment details through a keyword screening technology; the more the number of the keywords in the word stock is, the more accurate the output result is; the more comprehensive the keywords of the lexicon, the better the application extensibility of the lexicon.
A storage medium having stored therein a plurality of instructions, the instructions being loadable by a processor and adapted to perform the steps of the method for determining satisfaction of a scenic spot with a particular dimension based on a corpus of keywords.
An electronic device, the electronic device comprising:
the storage medium described above; and
a processor to execute the instructions in the storage medium.
The method and the system for measuring the satisfaction degree of the scenic spot with the specific dimension based on the keyword library have the following advantages:
the method comprises the steps of establishing a specific keyword library under each dimension, carrying out assignment on the emotional level of each keyword, and carrying out association matching with tourist evaluation characters of a scenic spot to obtain tourist satisfaction scores and tourist evaluation tendencies under different dimensions, so as to measure the satisfaction condition of the scenic spot in the specific dimension, wherein the method can be applied to a plurality of important tourist attention dimensions such as scenic spot service, management and consumption, and can analyze the specific attention dimension according to the subjective will of a scenic spot manager, so that the method has strong flexibility and expansibility;
based on the established specific keyword library under each dimensionality of scenic spot service, management, consumption and the like, the method can analyze the tourist comment characters of the scenic spot to obtain the tourist satisfaction scores and the tourist evaluation trends under different dimensionalities, has strong expansibility, and can quantify the satisfaction under the specific dimensionality based on the attributes of the keyword library;
the invention can help tourism management departments and scenic spot management personnel to realize multi-dimensional analysis of tourist comments, can analyze scenic spots in a targeted manner, and helps to improve management level.
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The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a flow chart diagram of a method for determining satisfaction of a scenic spot with a specific dimension based on a keyword library;
FIG. 2 is a block diagram of a structure based on a keyword library for a specific dimension scenic spot satisfaction measure.
Detailed Description
The method and system for measuring satisfaction degree of scenic spot with specific dimension based on keyword library of the present invention are explained in detail below with reference to the drawings and the specific embodiments of the specification.
Example 1:
as shown in the attached figure 1, the method for measuring the satisfaction degree of the scenic spot of the specific dimension based on the keyword library comprises the steps of establishing the specific keyword library under each dimension, carrying out assignment on the emotional level of each keyword, and then carrying out correlation matching with the tourist evaluation characters of the scenic spot to obtain the satisfaction degree scores and the evaluation tendencies of the tourists under different dimensions so as to measure the satisfaction degree condition of the scenic spot in the dimension; the method comprises the following specific steps:
s1, data acquisition: collecting comment details of tourists corresponding to scenic spots in an OTA (on-line tourism) platform; the more comprehensive the acquisition platform is, the more data amount is, and the better the support performance of the method is;
s2, creating a keyword library: establishing a keyword library which is related to the dimension and has obvious evaluation meaning; the keyword library is obtained from the collected visitor comment details through a keyword screening technology; the more the number of the keywords in the word stock is, the more accurate the output result is; the more comprehensive the keywords of the lexicon, the better the application extensibility of the lexicon.
S3, determining the score of the keyword: determining the evaluation direction and the corresponding score of each keyword according to the emotional color of each keyword;
s4, matching calculation: the keyword library is associated and matched with the comment details of the scenic spot, and the occurrence frequency n of each keyword in the comment is calculatedkAnd is summed with the score skAnd (3) weighted average, calculating the tourist satisfaction score of the scenic spot under the dimension:
Figure BDA0002392234010000041
wherein m is the number of keywords in the quality of service keyword library.
After the occurrence frequency of each keyword in the comments is calculated, the evaluation tendency of the tourists in the dimension of the scenic spot is calculated, which is specifically as follows:
(1) evaluation of the positive proportion:
Figure BDA0002392234010000042
(2) evaluation of neutral ratio:
Figure BDA0002392234010000043
(3) evaluation of negative proportion:
Figure BDA0002392234010000044
the tourist satisfaction score of the scenic spot in the dimensionality serves as a main parameter for measuring scenic spot services, and the tourist evaluation tendency proportion serves as a supplement.
The dimensions include quality of service, management, consumption, and traffic, among others.
Example 2:
based on the service quality of the embodiment 1, a keyword library under the dimension of service quality is created, and a satisfaction score under the dimension of service quality of a scenic spot is output; taking the measurement of the satisfaction degree of the service quality of a certain scenic spot as an example:
the method comprises the following steps of (I) data acquisition: collecting the comment details of tourists in the scenic spot in each OTA (on-line tourism) platform; the more comprehensive the acquisition platform is, the more data volume is, and the better the support of the method is.
(II) creating a keyword library: establishing a keyword library which is related to service quality and has obvious evaluation meanings, such as 'good service', 'poor service', 'super service rod', 'bad attitude' and the like; the word stock can be obtained from collected visitor comment details through a keyword screening technology. The more the number of the keywords in the word stock is, the more accurate the output result is; the more comprehensive the keywords of the lexicon, the better the application extensibility of the lexicon.
(III) determining the score of the keyword: determining the evaluation direction and the corresponding score (full score 5) of each keyword according to the emotional color of each keyword; for example:
① the evaluation direction of the keyword of "good service" is "positive", and the corresponding score is 5;
② "service go ahead", the evaluation direction of the keyword is "positive", and the corresponding score is 4;
③ the evaluation direction of the keyword of "general service" is "neutral", and the corresponding score is 3;
④, the evaluation direction of the keyword with poor service is negative, and the corresponding score is 2;
⑤ the evaluation direction of the keyword with poor service is negative, and the corresponding score is 1;
(IV) matching calculation: the keyword library is associated and matched with the comment details of the scenic spot, and the occurrence frequency n of each keyword in the comment is calculatedkAnd is summed with the score skAnd (3) weighted average, calculating the satisfaction score of the tourists in the scenic spot under the service quality dimension:
Figure BDA0002392234010000051
wherein m is the number of keywords in the quality of service keyword library.
Summarizing the keyword frequency of each evaluation direction, and calculating the tourist evaluation tendency of the scenic spot in the service quality dimension:
(1) evaluation of the positive proportion:
Figure BDA0002392234010000052
(2) evaluation of neutral ratio:
Figure BDA0002392234010000053
(3) evaluation of negative proportion:
Figure BDA0002392234010000054
the satisfaction degree score of the tourist with the service quality is used as a main parameter for measuring scenic spot services, and the evaluation tendency ratio of the tourist is used as a supplement.
Besides the service quality, the satisfaction degree of tourists in each dimension of the scenic spot can be comprehensively measured by creating a multidimensional keyword library for management, consumption, traffic and the like.
Example 3:
as shown in fig. 2, the system for measuring satisfaction of scenic region of specific dimension based on keyword library of the present invention comprises,
the data acquisition module is used for acquiring the comment details of the tourists corresponding to the scenic spot in the OTA (on-line tourism) platform; the more comprehensive the acquisition platform is, the more data amount is, and the better the support performance of the method is;
a keyword library creating module for creating a keyword library which is related to the dimension and has obvious evaluation meaning; the keyword library is obtained from the collected visitor comment details through a keyword screening technology; the more the number of the keywords in the word stock is, the more accurate the output result is; the more comprehensive the keywords of the word stock, the better the application expansibility of the word stock;
the keyword score determining module is used for determining the evaluation direction and the corresponding score of each keyword according to the emotional color of each keyword;
the matching calculation module is used for correlating and matching the keyword library with the comment details of the scenic spot; the matching calculation module comprises a matching calculation module,
the satisfaction degree value calculation operator module is used for calculating the satisfaction degree value of the tourists in the scenic spot under the dimensionality; the method comprises the following specific steps:
calculating the occurrence frequency n of each keyword in the commentskAnd is summed with the score skAnd (3) weighted average, calculating the tourist satisfaction score of the scenic spot under the dimension:
Figure BDA0002392234010000061
wherein m is the number of keywords in the service quality keyword library;
the tourist evaluation tendency calculation submodule is used for calculating the tourist evaluation tendency; the method comprises the following specific steps:
(1) evaluation of the positive proportion:
Figure BDA0002392234010000062
(2) evaluation of neutral ratio:
Figure BDA0002392234010000063
(3) evaluation of negative proportion:
Figure BDA0002392234010000064
the tourist satisfaction score of the scenic spot in the dimensionality serves as a main parameter for measuring scenic spot services, and the tourist evaluation tendency proportion serves as a supplement.
The dimensions include quality of service, management, consumption, and traffic, among others.
Example 4:
the storage medium of the present invention, in which a plurality of instructions are stored, is loaded by a processor, and executes the steps of the method for measuring satisfaction of a scenic region of a specific dimension based on a keyword library of embodiment 1.
Example 5:
an electronic device of the present invention includes:
the storage medium of example 4; and
a processor for executing the instructions in the storage medium of embodiment 4.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A method for measuring satisfaction of scenic spots with specific dimensions based on a keyword library is characterized in that the method comprises the steps of establishing the specific keyword library under each dimension, carrying out assignment on the emotional level of each keyword, and carrying out association matching with visitor evaluation characters of the scenic spots to obtain the satisfaction values of visitors and the evaluation tendencies of the visitors under different dimensions so as to measure the satisfaction conditions of the scenic spots in the dimension; the method comprises the following specific steps:
s1, data acquisition: collecting comment details of tourists corresponding to scenic spots in the OTA platform;
s2, creating a keyword library: establishing a keyword library which is related to the dimension and has obvious evaluation meaning;
s3, determining the score of the keyword: determining the evaluation direction and the corresponding score of each keyword according to the emotional color of each keyword;
s4, matching calculation: the keyword library is associated and matched with the comment details of the scenic spot, and the occurrence frequency n of each keyword in the comment is calculatedkAnd is summed with the score skAnd (3) weighted average, calculating the tourist satisfaction score of the scenic spot under the dimension:
Figure FDA0002392231000000012
wherein m is the number of keywords in the quality of service keyword library.
2. The keyword-library-based method for measuring satisfaction of scenic spot with specific dimension as claimed in claim 1, wherein the dimension comprises quality of service, management, consumption and traffic.
3. The method for measuring satisfaction of scenic regions with specified dimensions based on keyword database as claimed in claim 1, wherein said keyword database in step S2 is obtained from collected details of said visitor' S comments by keyword screening technique.
4. The method for measuring satisfaction of scenic spot with a specific dimension based on keyword library according to claim 1, 2 or 3, wherein after calculating the occurrence frequency of each keyword in the comment in step S4, calculating the evaluation tendency of the tourists in the dimension of scenic spot, specifically as follows:
(1) evaluation of the positive proportion:
Figure FDA0002392231000000011
(2) evaluation of neutral ratio:
Figure FDA0002392231000000021
(3) evaluation of negative proportion:
Figure FDA0002392231000000022
the tourist satisfaction score of the scenic spot in the dimensionality serves as a main parameter for measuring scenic spot services, and the tourist evaluation tendency proportion serves as a supplement.
5. A satisfaction measuring system for scenic region with specific dimension based on keyword library is characterized in that the system comprises,
the data acquisition module is used for acquiring the comment details of the tourists corresponding to the scenic spot in the OTA platform;
a keyword library creating module for creating a keyword library which is related to the dimension and has obvious evaluation meaning;
the keyword score determining module is used for determining the evaluation direction and the corresponding score of each keyword according to the emotional color of each keyword;
and the matching calculation module is used for correlating and matching the keyword library with the comment details of the scenic spot.
6. The keyword-corpus-based specific-dimension scenic-area satisfaction measurement system of claim 5, wherein said matching computation module comprises,
the satisfaction degree value calculation operator module is used for calculating the satisfaction degree value of the tourists in the scenic spot under the dimensionality; the method comprises the following specific steps:
calculating the occurrence frequency n of each keyword in the commentskAnd is summed with the score skAnd (3) weighted average, calculating the tourist satisfaction score of the scenic spot under the dimension:
Figure FDA0002392231000000023
wherein m is the number of keywords in the service quality keyword library;
the tourist evaluation tendency calculation submodule is used for calculating the tourist evaluation tendency; the method comprises the following specific steps:
(1) evaluation of the positive proportion:
Figure FDA0002392231000000024
(2) evaluation of neutral ratio:
Figure FDA0002392231000000025
(3) evaluation of negative proportion:
Figure FDA0002392231000000031
the tourist satisfaction score of the scenic spot in the dimensionality serves as a main parameter for measuring scenic spot services, and the tourist evaluation tendency proportion serves as a supplement.
7. The system of claim 5, wherein the dimensions include quality of service, management, consumption, and traffic.
8. The system for measuring satisfaction of scenic regions of specific dimensions based on keyword library of claim 5, 6 or 7, wherein said keyword library is obtained from collected details of said tourist comments by keyword screening technique.
9. A storage medium having stored thereon a plurality of instructions, wherein the instructions are loaded by a processor to perform the steps of the method for keyword library based scenic spot satisfaction measurement as recited in claims 1-4.
10. An electronic device, characterized in that the electronic device comprises:
the storage medium of claim 9; and
a processor to execute the instructions in the storage medium.
CN202010118525.0A 2020-02-26 2020-02-26 Keyword library-based specific dimension scenic spot satisfaction measuring method and system Pending CN111310466A (en)

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Cited By (3)

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CN112256946A (en) * 2020-11-09 2021-01-22 广州瀚信通信科技股份有限公司 Global tourism history record monitoring and analyzing method and system based on internet big data
CN112256852A (en) * 2020-10-28 2021-01-22 北京软通智慧城市科技有限公司 Scenic spot comment data processing method and device, electronic equipment and storage medium
CN113792118A (en) * 2021-09-08 2021-12-14 浙江力石科技股份有限公司 Satisfaction improving system and method based on scenic spot evaluation

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CN106156287A (en) * 2016-06-24 2016-11-23 杭州天迈网络有限公司 Analyze public sentiment satisfaction method based on the scenic spot evaluating data of tourism demand template
CN106294532A (en) * 2016-05-18 2017-01-04 广东电网有限责任公司信息中心 The image appraisal algorithm analyzed based on microblog emotional

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