Evaluation method for commercial value of street dance activity

Abstract

The invention discloses a method for evaluating the commercial value of a street dance activity, and belongs to the technical field of commercial value evaluation, and the method comprises the steps: constructing a five-dimensional evaluation matrix: carrying out the evaluation of the commercial value through economic benefits, brand effects, user values, industry influences and technology enabling; a dynamic evaluation model formula; wherein the scores refer to the total commercial value score, the ith dimension weight, the dimension standardization score, the technical innovation coefficient and the technical enabling dimension score; and the evaluation process comprises a data acquisition layer, a data processing layer and a value output layer. According to the method, the digital upgrading space is pre-judged through the technical enabling dimension, a prospective evaluation view angle is provided for the street dancing activities, the street dancing institutions are helped to lay out newly-emerging technical fields in advance, such as VR (virtual reality) competition and AI (artificial intelligence) teaching, and the market opportunity is grabbed.

Description

Technical Field

[0001] The present invention belongs to the technical field of commercial value assessment, and specifically relates to a method for assessing the commercial value of a street dance activity. Background Art

[0002] With the rapid popularity of street dance culture among young people, its commercial value is becoming increasingly prominent, making it a force to be reckoned with in the cultural market. The scale of China's street dance training market continues to expand. However, despite the enormous commercial value of street dance activities, comprehensive and accurate evaluation of them still faces many challenges.

[0003] Traditional methods for evaluating the commercial value of street dance events often focus solely on direct revenue streams like box office sales and sponsorships, while overlooking long-term value such as brand recognition and user engagement. This single-minded approach results in results that fail to fully reflect the true commercial potential of street dance events. Furthermore, traditional methods rely on post-hoc statistics, failing to predict the potential for event IP development and leading to a degree of blindness in investment decisions. Furthermore, traditional methods fail to fully consider the unique nature of street dance as a subculture and its influence on consumer decisions.

[0004] While existing business plans for street dance studios include metrics like course fees and event revenue, these indicators remain at the traditional financial level and lack a dynamic evaluation model, making them difficult to adapt to the new online and offline integration model. Therefore, it is particularly important to develop a comprehensive, dynamic, and multi-dimensional method for evaluating the commercial value of street dance activities. Summary of the Invention

[0005] The purpose of the present invention is to provide a method for evaluating the commercial value of street dance activities to solve the problems raised in the above background technology.

[0006] To achieve the above objectives, the present invention provides the following technical solutions: Construction of a five-dimensional evaluation matrix: Evaluate business value through economic benefits, brand effect, user value, industry impact, and technological empowerment; dynamic evaluation model formula: ;in is the total commercial value score, is the weight of the i-th dimension, For the Dimension standardized scores, is the technological innovation coefficient, Score the technology enablement dimension; Evaluation process: including data collection layer, data processing layer and value output layer; Technical implementation: including data collection, data processing, value assessment and system deployment; As a further preferred embodiment of this technical solution: the economic benefits constructed by the five-dimensional evaluation matrix are connected to the ticketing system and the financial API in real time to automatically capture data, including box office revenue, sponsorship amount, derivative sales, and copyright share; the brand effect constructed by the five-dimensional evaluation matrix integrates the NLP algorithm to analyze public opinion, quantify the brand exposure value, and obtain it from social media interaction volume, KOL cooperation index, and topic heat value; the user value constructed by the five-dimensional evaluation matrix tracks the user cycle value through the student management system, including student growth rate, course repurchase rate, and community activity; the industry impact constructed by the five-dimensional evaluation matrix combines policy texts and industry reports to evaluate strategic value, including policy fit, industrial chain driving effect, and industry standard contribution; the technology empowerment monitoring technology platform data constructed by the five-dimensional evaluation matrix predicts the potential for digital upgrading, including online live broadcast viewing volume, VR event participation, and AI teaching penetration rate; As a further preferred embodiment of the present technical solution: the dynamic evaluation model formula adopts a weight calculation method, uses an entropy method, and dynamically allocates weights according to the discrete degree of data in each dimension to avoid subjective bias; As a further preferred embodiment of this technical solution: the calculation formula of the technical innovation coefficient is: ;in For technology maturity, For market acceptance; As a further preferred embodiment of this technical solution: the data collection layer connects to the ticketing platform, financial system, social media, student management system and technical platform to capture multi-dimensional data in real time; uses the isolation forest algorithm to detect abnormal behaviors such as ticket fraud and water army to ensure the authenticity of the data; fills and corrects missing values ​​and outliers, and integrates multi-source data into a unified format; as a further preferred embodiment of this technical solution: the data processing layer performs Min-Max normalization on heterogeneous indicators such as box office and interaction volume to eliminate dimensional effects; dynamically allocates weights to each dimension based on the entropy method to reflect the importance of different dimensions in the evaluation; and uses the dynamic evaluation model formula to calculate the total commercial value score of street dance activities; As a further preferred embodiment of this technical solution: the value output layer generates visual charts such as radar charts and bar charts to intuitively display the five-dimensional scores and industry benchmarks; provides targeted optimization suggestions based on the evaluation results; and sets a risk warning mechanism to trigger warning prompts when key indicators such as student growth rate and community activity are below the threshold; As a further preferred embodiment of this technical solution: the data collection uses Python to write a crawler program to crawl data from social media, ticketing platforms, etc., and connect to internal data sources such as financial systems and student management systems through API interfaces; the data processing uses the Pandas library for data cleaning, integration and standardization, and uses the Scikit-learn library to implement entropy method weight calculation and isolation forest anomaly detection; As a further preferred embodiment of the present technical solution: the value assessment is based on a dynamic assessment model formula, using the NumPy library for mathematical calculations; the Matplotlib library is used to generate a visual report; the system deployment encapsulates the assessment model as a Web service, provides an API interface through the Flask framework, and supports real-time assessment and batch processing; As a further optimization of this technical solution: adding interactive elements to VR events and introducing an AI referee system to enhance audience experience and brand exposure.

[0007] Compared with existing technologies, the present invention has the following advantages: 1. By predicting the potential for digital upgrades through the dimension of technological empowerment, the present invention provides a forward-looking evaluation perspective for street dance activities. This helps street dance organizations plan ahead for emerging technology fields, such as VR events and AI teaching, thereby seizing market opportunities. It considers multiple dimensions of street dance activities, including economic benefits, brand effects, user value, industry influence, and technological empowerment. By quantifying the impact of these dimensions, it can more accurately assess the commercial value of street dance activities and provide a precise pricing basis for brand partnerships. 2. The present invention adopts a dynamic evaluation model, updating the weights of each dimension monthly to adapt to the rapidly iterating market environment of the street dance industry. This dynamic nature ensures the timeliness and accuracy of evaluation results, providing strong support for investment decisions. It covers multiple aspects of street dance activities, avoiding the blind spots in traditional evaluation methods. By comprehensively evaluating the commercial value of street dance activities, it provides strong support for the healthy development of the street dance industry. 3. The present invention implements an automated process for data collection, processing, and value output through programming, which not only improves evaluation efficiency but also reduces human intervention and errors, ensuring the objectivity and accuracy of evaluation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 This is the structural process of the method for evaluating the commercial value of street dance activities in the present invention Figure 1 ; Figure 2 This is the structural process of the method for evaluating the commercial value of street dance activities in the present invention Figure 2 ; Figure 3 This is the structural process of the method for evaluating the commercial value of street dance activities in the present invention Figure 3 ; Figure 4 This is the structural process of the method for evaluating the commercial value of street dance activities in the present invention Figure 4 . DETAILED DESCRIPTION

[0009] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. Figure 1-Figure 4 As shown, the present invention provides a technical solution: including: construction of a five-dimensional evaluation matrix: evaluating commercial value through economic benefits, brand effect, user value, industry influence, and technological empowerment; Dynamic evaluation model formula: ;in is the total commercial value score, is the weight of the i-th dimension, which is dynamically calculated by the entropy method. For the Dimensional standardized scores, processed by Min-Max normalization, is the technological innovation coefficient, 0-1, calculated by weighting the technological maturity and market acceptance. Score the technology enablement dimension; Evaluation process: including data collection layer, data processing layer and value output layer; Technical implementation: including data collection, data processing, value assessment and system deployment; In this embodiment, specifically: the economic benefits constructed by the five-dimensional evaluation matrix are connected to the ticketing system and the financial API in real time, and data is automatically captured, including box office revenue, sponsorship amount, derivative sales, and copyright sharing. It is connected to the ticketing platform and real-time sales data is obtained through the API interface; financial system integration automatically captures sponsorship contract amount, derivative sales records and copyright sharing details; the brand effect constructed by the five-dimensional evaluation matrix integrates NLP algorithms to analyze public opinion, quantify brand exposure value, obtain from social media interaction volume, KOL cooperation index, and topic heat value, crawl media network platform data, and use NLP technology to analyze topic sentiment tendency, KOL influence and user participation; quantify brand exposure effect through indicators such as topic tag heat, forwarding volume, and number of comments; the user value constructed by the five-dimensional evaluation matrix tracks the user cycle value through the student management system, including student growth rate, course repurchase rate, and community activity, and integrates training institutions. The member management system tracks student registration, renewal, attendance and community interaction data; uses the RFM model to analyze user value and identify high-value student groups; the industry impact constructed by the five-dimensional evaluation matrix combines policy texts and industry reports to evaluate strategic value, including policy fit, industry chain driving effect, and industry standard contribution. It crawls cultural industry policy documents issued by the government, uses text mining technology to analyze policy keywords, and evaluates the fit between activities and policies; quantifies industry influence through indicators such as the participation of upstream and downstream enterprises in the industry chain and the contribution to the formulation of industry standards; the technology empowerment monitoring technology platform data constructed by the five-dimensional evaluation matrix predicts the potential for digital upgrades, including online live broadcast viewing volume, VR event participation, and AI teaching penetration rate. It connects the live broadcast platform, VR event system and AI teaching platform to obtain data such as viewing time, number of participating devices, and course completion rate; uses big data analysis technology to predict the long-term impact of technology empowerment on business value; In this embodiment, specifically: a weight calculation method is adopted in the dynamic evaluation model formula, using the entropy method, and weights are dynamically assigned according to the discrete degree of data in each dimension to avoid subjective bias. The weights are updated monthly to adapt to the rapidly iterative market environment of the street dance industry. Relevant data on street dance activities within the month are collected, including data on dimensions such as economic benefits, brand effect, user value, industry influence, and technological empowerment. Based on the collected data, the entropy value of each dimension is recalculated, and the weight of each dimension is adjusted according to the new entropy value to ensure that the evaluation model can reflect market changes in a timely manner. In this embodiment, specifically: the calculation formula of the technology innovation coefficient is: ;in The maturity of technology is quantified by indicators such as technology R&D investment and number of patents. Market acceptance is quantified by user surveys, market share and other indicators. The weight of each dimension is calculated based on the entropy value. The weight is inversely proportional to the entropy value, that is, the smaller the entropy value of the dimension, the greater the weight. Through questionnaires, interviews and other methods, we can understand users' satisfaction with and willingness to use technologies related to street dance activities, and reflect the competitive position and influence of street dance organizations in the market, including market share and number of users. In this embodiment, specifically: the data collection layer connects to the ticketing platform, financial system, social media, student management system, and technical platform to capture multi-dimensional data in real time; uses the isolation forest algorithm to detect abnormal behaviors such as ticket fraud and online scams to ensure data authenticity; fills and corrects missing values ​​and outliers, and integrates multi-source data into a unified format; In this embodiment, specifically: the data processing layer performs Min-Max normalization on heterogeneous indicators such as box office and interaction volume to eliminate dimensionality effects; dynamically assigns weights to each dimension based on the entropy method to reflect the importance of different dimensions in the evaluation; uses the dynamic evaluation model formula to calculate the total commercial value score of the street dance activity, and integrates the processed data into a unified format to facilitate subsequent data processing and analysis. Data integration includes steps such as data cleaning, data conversion, and data merging to ensure data integrity and consistency; In this embodiment, specifically: the value output layer generates visual charts such as radar charts and bar charts to intuitively display the five-dimensional scores and industry benchmarks; based on the evaluation results, it provides targeted optimization suggestions, such as increasing the budget for KOL cooperation and introducing an AI teaching system; and establishes a risk warning mechanism to trigger warning prompts when key indicators such as student growth rate and community activity fall below the threshold; In this embodiment, specifically: data collection uses Python to write a crawler program to capture data from social media, ticketing platforms, etc., and connect to internal data sources such as financial systems and student management systems through API interfaces; data processing uses the Pandas library for data cleaning, integration, and standardization, and the Scikit-learn library is used to implement entropy weight calculation and isolation forest anomaly detection; In this embodiment, specifically: the value assessment is based on the dynamic assessment model formula, using the NumPy library for mathematical calculations; the Matplotlib library is used to generate visual reports; the system deployment encapsulates the assessment model as a Web service, provides an API interface through the Flask framework, and supports real-time assessment and batch processing; In this embodiment, specifically: adding interactive links to VR competitions, introducing an AI referee system, improving audience experience and brand exposure, the AI ​​referee system uses artificial intelligence technology to perform real-time scoring and action replays of street dance competitions, and the AI ​​referee system uses deep learning algorithms to identify and analyze the movements of street dancers, and perform real-time scoring according to scoring rules. At the same time, the AI ​​referee system also supports action replay function, through which the audience can watch the exciting movements of street dancers, thereby improving the viewing experience and satisfaction.

[0010] Working principle or structural principle: Real-time connection with the ticketing platform through the API interface to capture transaction data such as box office revenue and sponsorship amount; integration with the financial system to automatically synchronize derivative sales records, copyright share details and sponsorship contract amounts, deploy Python crawler programs, target the street dance activity-related topic data of the online media platform, such as topic tag popularity, forwarding volume, and number of comments, and call the NLP interface to analyze user sentiment tendencies and KOL influence; obtain student registration, renewal, attendance records and community interaction logs through the student management system API, build a user life cycle value model, crawl government cultural industry policy documents and industry association reports, extract policy keywords, quantify the degree of fit between activities and policies, connect with live broadcast platforms, VR event systems and AI teaching platforms, and collect digital indicators such as online viewing time, VR device participation, and course completion rate; use the isolation forest algorithm to identify ticket fraud and water army behavior, filter abnormal data through IP clustering and behavioral pattern analysis, and use KNN interpolation or historical mean filling for missing values ​​of key indicators such as box office and interaction volume to uniformly map heterogeneous indicators such as box office revenue and topic popularity to [0,1]. intervals to eliminate dimensional differences; weights are assigned based on the degree of dispersion of data in each dimension. For example, if the variance of the brand effect data of a certain event is large, a higher weight is given. The weights are adjusted monthly based on industry trends, such as policy changes and technological iterations. For example, when policies encourage "street dance + technology", the weight of the technology empowerment dimension is increased; the indicators of each dimension are quantified by the number of patents and the proportion of R&D investment, and the min-max normalization is performed by combining user surveys and weighted calculations of market share; the Matplotlib library is used to generate a five-dimensional score radar chart, which is compared with the industry baseline and overlaid with historical evaluation data to show the monthly trend of business value; preset optimization rules are used to trigger suggestions based on the evaluation results, and successful cases are recommended based on the activity type, such as competitive events and training and exhibitions. Warning thresholds for key indicators such as student growth rate and community activity are set. When the indicators fall below the thresholds, warnings are sent to the operations team via email or system notifications; finally, developed based on the Django framework, radar charts, trend charts and optimization suggestions are displayed, and a real-time evaluation interface is provided, such as inputting an event ID to return the total business value score, and a batch processing interface, such as uploading an Excel file to return an evaluation report.

[0011] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A method for evaluating the commercial value of street dance activities, characterized by: include: Construction of a five-dimensional evaluation matrix: Evaluate business value through economic benefits, brand effect, user value, industry impact, and technological empowerment; Dynamic evaluation model formula: ;in is the total commercial value score, is the weight of the i-th dimension, For the Dimension standardized scores, is the technological innovation coefficient, Score the technology enablement dimension; Evaluation process: including data collection layer, data processing layer and value output layer; Technical implementation methods: including data collection, data processing, value assessment and system deployment.

2. A method for evaluating the commercial value of a street dance activity according to claim 1, characterized in that: The economic benefits constructed by the five-dimensional evaluation matrix are connected to the ticketing system and the financial API in real time to automatically capture data, including box office revenue, sponsorship amount, derivative sales, and copyright sharing; the brand effect constructed by the five-dimensional evaluation matrix integrates NLP algorithm to analyze public opinion, quantify the brand exposure value, and obtain it from social media interaction volume, KOL cooperation index, and topic heat value; the user value constructed by the five-dimensional evaluation matrix tracks the user cycle value through the student management system, including student growth rate, course repurchase rate, and community activity; the industry impact constructed by the five-dimensional evaluation matrix combines policy texts and industry reports to evaluate strategic value, including policy fit, industrial chain driving effect, and industry standard contribution; the technology empowerment monitoring technology platform data constructed by the five-dimensional evaluation matrix predicts the potential for digital upgrading, including online live broadcast viewing volume, VR event participation, and AI teaching penetration rate.

3. The method for evaluating the commercial value of a street dance activity according to claim 2, wherein: The dynamic evaluation model formula adopts a weight calculation method and an entropy method to dynamically allocate weights according to the discrete degree of data in each dimension to avoid subjective bias.

4. The method for evaluating the commercial value of a street dance activity according to claim 3, wherein: The calculation formula of the technological innovation coefficient is: ;in For technology maturity, For market acceptance.

5. The method for evaluating the commercial value of a street dance activity according to claim 4, characterized in that: The data collection layer connects to the ticketing platform, financial system, social media, student management system and technical platform to capture multi-dimensional data in real time; uses the isolation forest algorithm to detect abnormal behaviors such as ticket swiping and water army to ensure the authenticity of the data; fills and corrects missing values ​​and outliers, and integrates multi-source data into a unified format.

6. The method for evaluating the commercial value of a street dance activity according to claim 5, characterized in that: The data processing layer performs Min-Max normalization on heterogeneous indicators such as box office and interaction volume to eliminate the impact of dimensions; Dynamically assign weights to each dimension based on the entropy method to reflect the importance of different dimensions in the evaluation; Use the dynamic evaluation model formula to calculate the total commercial value score of street dance activities.

7. The method for evaluating the commercial value of a street dance activity according to claim 6, characterized in that: The value output layer generates visual charts such as radar charts and bar charts to intuitively display the five-dimensional scores and industry benchmarks; and provides targeted optimization suggestions based on the evaluation results; Set up a risk warning mechanism to trigger warning prompts when key indicators such as student growth rate and community activity are below the threshold.

8. The method for evaluating the commercial value of a street dance activity according to claim 7, characterized in that: The data collection uses Python to write a crawler program to capture data from social media, ticketing platforms, etc., and connect to internal data sources such as financial systems and student management systems through API interfaces; the data processing uses the Pandas library for data cleaning, integration and standardization, and uses the Scikit-learn library to implement entropy method weight calculation and isolation forest anomaly detection.

9. The method for evaluating the commercial value of a street dance activity according to claim 8, characterized in that: The value assessment is based on a dynamic assessment model formula, using the NumPy library for mathematical calculations; the Matplotlib library is used to generate visual reports; the system deployment encapsulates the assessment model as a Web service, provides an API interface through the Flask framework, and supports real-time assessment and batch processing.

10. The method for evaluating the commercial value of a street dance activity according to claim 9, characterized in that: Add interactive elements to VR events and introduce AI referee systems to enhance audience experience and brand exposure.

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