Background to the issue
Raw data formats in marketing research are complex and manual labeling standards vary, affecting the quality of post-analysis.
Standardized programmes
- Predefined labeling system
- Use the industry-standard labeling library provided by Riveter
- Support customized hierarchical labeling system
- Automated Processing
- Upload raw market research data
- Selecting the "Data Labeling" mode
- Define labeling rules and output formats
- Batch execution labeling
- quality control
- Setting the sample review ratio
- View Inconsistent Labeling Cases
- Optimize cue words to improve accuracy
caveat
- Small-scale testing is recommended for first-time use
- Complex data can be combined with multiple annotation modes
- Attention to the protection of private consumer data
Effectiveness of implementation
The method can increase the data annotation speed by 15 times and the annotation consistency reaches more than 95%.
This answer comes from the articleRiveter: Quickly annotate, enhance and analyze data using cue words in tablesThe
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