DiVoMiner® supports customized data display fields in the [Quality Monitoring] section. For example, fields such as “Text,” “Date,” “Source,” and “Section” are currently displayed in the following figure, and you can use [Setting] to modify the displayed fields. TIPS: Some field names (such as date) have two small upright triangles […]
How to adjust the coding result?
Users can adjust the coding results of single data entry in the [Quality Monitoring] section, including both the machine coding and manual coding results. Simply click [Edit] on the right side of the data and modify the results, then click [Save]. TIPS: If you want to find a specific piece […]
How to manage the performance of coders?
DiVoMiner® supports teamwork and provides two account roles: administrator and coder. Coders can only enter the coding page and do manual coding. The administrator can manage the work of coders. In [Coding Performance], you can view the total number of coding libraries, the number of coded data and remaining data […]
How to perform Manual Coding?
When the inter-coder reliability reached a reasonably acceptable level, you can start the formal coding procedure. On the [Coding] page, the middle section is the text for coding; the right section is the coding categories, which are the questions that the coder needs to answer after the text reading. The […]
How to run Machine Coding? How to deal with long loading time or error during machine coding?
Machine coding can quickly classify the data. Compared with manual coding, the efficiency of machine coding is extremely high, and data analysis results can be retrieved quickly. Before machine coding, check the [Coding library] data and coding category settings. Step 1: Check the [Coding library] data, which is the target […]
How to use the Data Exploration function?
In the big data era, computer technology can quickly and automatically perform data mining. In order to improve research efficiency, you can firstly use the [Data Exploration] after creating the database, to have an initial understanding of the data. After data uploading and database building, enter [Data Exploration] to have […]
How to create a Sampling Pool?
DiVoMiner® provides a fast and convenient way for data sampling. A proportion of data is sampled from the overall data to form a Sampling Pool, which is independent from the Coding Library. Data in the Sampling Pool can perform functions such as machine coding, manual coding, statistical analysis, and visualization […]
How to build a database? –upload data
After the Project is created, you will automatically enter the [Data management]-[Overview] page. Here you can see the overall data coding in each database, such as the number of samples in the coding library, recycle bin, number of samples that have been coded, current Project’s data capacity and usage, file […]
How to add and manage Project members?
There are two types of accounts of the Project: administrator(s) and coder(s). The difference is that administrators can perform all management operations, such as creating and managing databases, modifying coding results, and doing statistical analysis. Coders can only access the coding page and perform manual coding on the content. To […]
What is a project? How to use DiVoMiner free Learning Project?
On DiVoMiner platform, projects are divided into Learning Projects (permanently free) and Research Projects (subscription). Both have identical functionality modules, with differences in data volume, category limits and associated account numbers. Learning Project: Each Learning Project has a limit of 1000 data items, 50MB file storage space, 10 categories maximum, […]