面向社会媒体数据的心理分析：林萃分析系统

With the development of technology, the era of big data has arrived. The emergence of big data has brought great convenience to scientific research, help researchers improve the efficiency of their work through large-scale data analysis. This article introduces PsyAnalytics, which assists researchers with less or no programming skill for data collection and analysis, even with no programming background. PsyAnalytics firstly filters out the data that meets the requirements from the collected data to form a data group. This filtering process can be iterated. Then, the filtered data is divided into individual data, and after computing and processing the individual data, various psychological semantics or psychological indicators of the user are obtained. Users can use web crawlers or exported data to obtain individual behavior data. Here, individual refers not only to single user, but also to the data of a region or individual within a specified time period. Based on these data, dictionaries can be used for Psycholinguistic analysis (word frequency statistics) and psychological indicator prediction. Based on these results, cross-sectional analysis or panel data analysis can be conducted according to research needs. This article demonstrates through a specific case how to use PsyAnalytics to achieve the entire process of data analysis, indicating that the  system can provide assistance for scientific research in data acquisition and analysis.