Mr. Weihua Yang Profile

Weihua Yang

at Dalian Polytechnic Univ

SPIE Involvement:

Author

Publications (2)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 30 November 2022 Paper

Research on online reviews of popular restaurants based on latent Dirichlet allocation theme model

WeiHua Yang, JiaJia Yao

Proceedings Volume 12456, 124561H (2022) https://doi.org/10.1117/12.2659912

KEYWORDS: Statistical analysis, Analytical research, Data mining, Visualization, Statistical modeling, Mining

Read Abstract +

Online popular restaurants are those that are widely concerned by the society and sought after by the public through we media platform or internet marketing. Online comment is the product of the information age. The daily life of Internet users is to exchange information, express views and communicate with others through major Internet platforms. The outbreak of COVID-19 in 2020 has hit the catering industry in China. According to the statistics of the existing literature, it is found that there are few studies on online popular restaurants, and the research methods are relatively simple and traditional. The research on online comments of online popular restaurants can explore the emotional tendency of consumers, find the problems existing in online popular restaurants and put forward corresponding development suggestions. This paper uses Python technology to obtain the comments of 30 popular restaurants in Dalian on the public comment website, and puts forward corresponding opinions and suggestions on the operation of online popular restaurants through data mining. It is concluded that consumers care about the following aspects in the consumption process: taste, service, decoration style, waiting time in line. In this regard, we put forward the following suggestions: improve the taste of food, constantly push through the old and bring forth the new, and the primary task for the sustainable development of the restaurant is to ensure the taste; Improve service quality and create a high-quality service culture; Create a unique decoration style and resolutely resist and crack down on piracy; Reduce waiting time or provide better service during waiting time.

Proceedings Article | 18 March 2022 Paper

Research on credit card default detection model and its application based on support vector machine

WeiHua Yang, JiaJia Yao

Proceedings Volume 12168, 121680W (2022) https://doi.org/10.1117/12.2631643

KEYWORDS: Data modeling, Data mining, Data conversion

Read Abstract +

Nowadays, data mining is not only used for scientific research, but also has various applications in real life. Support vector machine (SVM) is a kind of data mining method and a generalized linear classifier for binary classification of data. Its basic principle is to map vectors to a higher dimensional space, find the maximum spacing of the separated hyperplane in this space, and this separated hyperplane is unique. In this paper, the characteristics of credit card holders and the transaction data of six months are converted into data formats required by data mining, and the prediction model of support vector machine is established. According to the predicted results, credit card default risk is analyzed to further evaluate the model used in this paper.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years