Data and Code for Empirical Validation of Smart Elderly Care Service Platform Evolutionary Game Study

<h2>1. Overview</h2><p dir="ltr">This data and code repository provides supporting data and reproducible computational code for the <b>empirical validation section of the model assumptions</b> in the paper "Analysis of Key Development Paths for Smart Elderly Care Service Platforms Based on Evolutionary Games."</p><p dir="ltr">This repository contains:</p><ul><li><b>Empirical Data:</b> User review data from the Marta Smart Elderly Care Platform, used to validate the impact of platform additional services on user satisfaction, and data from China's Smart Health and Elderly Care Products and Services Promotion Catalogue and Baidu Index time series data for macro-level analysis.</li><li><b>All code for data processing, sentiment analysis, and macro-indicator analysis.</b></li></ul><h2>2. Data Description</h2><h3>2.1 Marta Platform User Review Data (<code>MartaReviewsEN.csv</code>)</h3><ul><li><b>Content:</b> Contains 502 user reviews of the European Marta Smart Elderly Care Platform (original German reviews translated to English via Google Translate).</li><li><b>Purpose:</b> Serves as the raw input data for sentiment analysis in the paper, used to validate the impact of platform additional services on user satisfaction (supporting the empirical part of Figure 13 in the paper).</li><li><b>Field Description:</b> <code>title(EN)</code> (Review Title - English), <code>title(DE)</code> (Review Title - German), <code>text(EN)</code> (Review Body - English), <code>text(DE)</code> (Review Body - German), <code>Rating</code> (User Rating)</li></ul><h3>2.2 Baidu Index Data (<code>BaiduIndexData-2018-2024.csv</code>)</h3><ul><li><b>Content:</b> Contains daily average time series data of the Baidu Index for the keyword "智慧养老" (Smart Elderly Care) from 2018 to 2024.</li><li><b>Source:</b> Official Baidu Index website.</li><li><b>Purpose:</b> Serves as data input for macro-level analysis, used to validate the government incentive effect (supporting the empirical part of Figure 14 in the paper).</li><li><b>Field Description:</b> <code>Year</code>, <code>Baidu Index</code></li></ul><h3>2.3 Smart Health and Elderly Care Products and Services Promotion Catalogue Data (<code>Smart elderly care products and services promotion catalogue.csv</code>)</h3><ul><li><b>Content:</b> Contains data from the Smart Health and Elderly Care Products and Services Promotion Catalogue published by the Chinese government from 2018 to 2024. This file includes extracted information for quantitative comparative analysis.</li><li><b>Source:</b> Catalogues published on the official websites of the Ministry of Industry and Information Technology (MIIT), Ministry of Civil Affairs (MCA), and National Health Commission (NHC) of the People's Republic of China.</li><li><b>Original Data Language:</b> The original promotion catalogue data is in Chinese, translated to English via Google Translate. The data in this file consists of processed and extracted key indicators.</li><li><b>Purpose:</b> Serves as data input for macro-level analysis, used to validate the government incentive effect (supporting the empirical part of Figure 14 in the paper).</li><li><b>Field Description:</b> Serial number, years, category, Subcategories, Product Name</li></ul><h2>3. Code Description and Usage</h2><h3>3.1 Marta Comment Analysis Code (<code>Marta Comment Analysis.ipynb</code>)</h3><ul><li><b>Functionality:</b> Contains code for processing the <code>MartaReviewsEN.csv</code> data, performing text mining and sentiment analysis, and generating the results shown in Figure 13 of the paper.</li><li><b>Running Environment:</b></li><li><ul><li>Python 3.13</li><li>Jupyter Notebook environment</li><li>All necessary libraries (e.g., NLTK, Pandas, Matplotlib) are listed in the <code>requirements.txt</code> file.</li></ul></li><li><b>How to Run:</b></li><li><ol><li>Ensure you have Python and Jupyter Notebook installed.</li><li>Install the required libraries: <code>pip install -r requirements.txt</code></li><li>Navigate to the `` folder in your terminal and run <code>jupyter notebook</code>.</li><li>Open <code>Marta Comment Analysis.ipynb</code> in the Jupyter interface.</li><li>Run all cells in the Notebook sequentially.</li></ol></li></ul><h3>3.2 Macroeconomic Indicator Validation Code (<code>Macroeconomic indicator validation.ipynb</code>)</h3><ul><li><b>Functionality:</b> Contains code for processing <code>BaiduIndexData-2018-2024.csv</code> and <code>Smart elderly care products and services promotion catalogue.csv</code> data, and generating the results shown in Figure 14 of the paper.</li><li><b>Running Environment:</b> (Same as above)</li><li><b>How to Run:</b> (Same as above, open and run this Notebook)</li></ul><p></p>