DiVoMiner, as an all-in-one online platform for textual data mining and analysis, integrates traditional methods and innovative processes to provide researchers with tools for quantitative content analysis.

Users can complete the entire process of classifying, coding, semantic judgment and forming quantifiable data of text content online on this platform. The platform has built-in multiple textual big data mining algorithm models, provides flexible and powerful research execution and team collaboration management functions, and is the only text content research tool in the market with both practicality and academic.

We recommended you to conduct reliability test and formal coding on the DiVoMiner platform. It provides a better experience for these processes.

If you have already completed coding offline, you can also upload the coding results to the platform, with categories uploaded as variables/fields. After successful upload, you can analyze and visualize the data in the [Statistical Analysis] module. However, the reliability value cannot be calculated directly because the coder’s coding operation cannot be tracked. Therefore, the [Reliability Calculation] and [Coding Tracking] functions are not avalible in this situation.